What Happened

The research team, including lead authors postdoctoral researchers Cedric Devos, Aniket Udepurkar, and Peter Sagmeister at MIT’s Department of Chemical Engineering, devised a novel two-step mixing process to fabricate lipid nanoparticles. Traditionally, LNPs are formed by mixing lipid molecules dissolved in ethanol with RNA-containing acidic buffers, but equal mixing rates were not used, leading to limited size and shape control.

Building on a previous study, the researchers implemented equal flow rates of RNA and lipid mixtures in the first step, followed shortly by the addition of buffer after a controlled delay to arrest particle growth. Adjusting this delay—termed “residence time”—allows precise tuning of particle size from smaller to larger formations. Moreover, by varying buffer concentration, they could transform particle shapes—from standard spheres to elongated “avocado-like” structures.

Crucially, the team integrated this process into an automated platform featuring real-time dynamic light scattering measurements, which monitor particle size instantaneously. The system then dynamically modifies parameters, such as delay times, to achieve targeted nanoparticle sizes without human intervention.

Key Facts

The study was published in the journal ACS Nano and conducted at MIT’s Department of Chemical Engineering. The automated technique was developed with contributions from MIT’s Undergraduate Research Opportunities Program, involving computer science undergraduates who integrated advanced software engineering with chemical manufacturing processes.

Production occurs in MIT.nano facilities, with funding from the U.S. Food and Drug Administration and the National Cancer Institute’s Koch Institute Support Grant. The research group has filed a patent for this automation technology and is advancing toward commercialization through a startup, BIZON Labs, supported by MIT entrepreneurship programs.

What This Means

This new automated method provides an essential “degree of freedom” for RNA therapeutic developers by accurately controlling LNP size and shape, factors that heavily influence where in the body these nanoparticles deliver their genetic payloads. Since different tissue types preferentially absorb nanoparticles of certain sizes, this precision enables tailored therapies that may improve efficacy and reduce off-target effects.

By automating the process and incorporating real-time feedback, researchers can now rapidly iterate and optimize LNP formulations, dramatically reducing the trial-and-error nature that has historically slowed RNA therapy development. This technology could streamline the path for new vaccines and treatments, facilitating quicker responses to emerging diseases or genetic disorders.

Furthermore, the ability to engineer a variety of particle shapes introduces new possibilities for targeted delivery and cellular uptake mechanisms, potentially opening novel avenues in nanoparticle design beyond conventional spherical carriers.

The Bigger Picture

As RNA-based therapeutics grow in prominence, catalyzed by the success of mRNA COVID-19 vaccines, improving delivery systems remains critical. Lipid nanoparticles are central to this effort yet have suffered from inconsistent manufacturing control. MIT’s advancement aligns with a broader trend toward automated, precision nanomedicine manufacturing that overcomes reproducibility challenges and helps scale personalized medicine.

What Remains Unclear

The researchers note that while their system automates size control effectively, measuring and automating shape control remains partially outside the current platform’s capabilities. Additional methods are required to quantify shapes in real time within the automated process. Furthermore, the translation of nanoparticle shapes into biological performance in vivo needs further investigation.

What Comes Next

The team plans next to refine their automated platform to integrate shape measurement and expand predictive modeling using their accumulated data. They are also pursuing commercialization via BIZON Labs to make the technology available to pharmaceutical developers. Longer-term, applying this automated approach to diverse nanoparticle compositions for specialized therapeutic targets is a key future goal.

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What Happened

This summer, ten MIT undergraduates participated in the second year of Code.Tulsa, a program hosted by MIT’s PKG Center for Social Impact with funding from the Patrick J. McGovern Foundation and the George Kaiser Family Foundation. Students lived at the University of Tulsa and interned with tribal governments and nonprofit organizations on projects designed to address social challenges through technology. Notably, MIT mechanical engineering student Daphne Wang and AI and decision-making major Lucy Sun contributed to the first Pregnancy Risk Assessment Monitoring System (PRAMS) survey specific to the Muscogee Nation. Their work involved literature reviews, dataset analysis, and drafting survey questions with sensitivity to data sovereignty and tribal governance.

Key Facts

The Code.Tulsa program places students in internships that blend technical work with cultural and historical education. Mentorship by the PKG Center staff and local tribal leaders provided a humanist perspective on technology’s role in community development. The program also launched the Tulsa Advanced Sciences Camp (TASC), a weeklong STEM camp for high school students from 25 Native nations, offering AI engineering, DNA technology, physics, and chemistry tracks complemented by philosophical workshops. The camp accepted 25 students selected from 160 applicants, representing 10 federally recognized tribes.

Jack Carson, a Cherokee Nation member and MIT sophomore, founded Code.Tulsa with the vision to improve STEM access for Native youth. The program’s partners included the Muscogee and Cherokee nations, Black Tech Street, and the Urban Coders Guild. Students like electrical engineering major Chenise Harper interned with nonprofits, gaining firsthand insight into community needs and social challenges intertwined with technology.

What This Means

Code.Tulsa demonstrates how leading technology education institutions can integrate socially conscious engagement with rigorous technical training. For MIT students, immersion in tribal history and governance fosters greater cultural empathy and awareness of ethical considerations in data use and technology development. This creates a new generation of engineers motivated by social impact and equipped to design inclusive, community-centered solutions. For Native communities, the program offers access to STEM resources, educational opportunities, and the groundwork for data infrastructure that respects sovereignty and promotes health equity.

Moreover, TASC’s blend of technical tracks and philosophical inquiry encourages young Native students to develop ambitions in STEM fields while thinking critically about their societal roles and potential impacts. As camper Alyssa Theofanidis noted, curiosity and self-driven learning are core outcomes, which can enhance STEM participation among indigenous youth. The involvement of tribal leaders like Cherokee Nation Principal Chief Chuck Hoskin Jr. underscores the importance placed on technology’s dual potential for benefit and harm, urging a careful, values-driven approach to innovation.

Background

Code.Tulsa originated from Jack Carson’s initiative to bridge a STEM access gap he observed among rural Native students. The program’s roots lie in combining MIT’s technical excellence with community-based learning, supported by philanthropic foundations. The PRAMS survey project marked a pioneering effort for the Muscogee Nation to collect maternal health data through a culturally attuned approach, highlighting the intersection of data science and indigenous governance.

What Comes Next

The success of the 2026 Code.Tulsa cohort sets a foundation for future iterations of the program, expanding the integration of social impact within technology education. The Tulsa Advanced Sciences Camp will continue to inspire Native students, with returning participants serving as teaching assistants. MIT and tribal partners plan to develop further projects addressing community needs through participatory technology design and education initiatives.

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What Happened

The NSF announced the ELEGANT program to accelerate the translation of innovative low-dimensional semiconductor materials and devices into industry-ready manufacturing processes. Recognizing that traditional microelectronics manufacturing methods are struggling to meet the scale and miniaturization demands of emerging technologies, the program focuses on bridging the gap between experimental demonstrations and scalable industrial platforms. The NSF is actively engaging industry partners to validate progress and ensure the relevance of developed technologies for commercial adoption. The initiative includes a call for expert teams across five key thematic areas, ranging from materials platforms and process technology to device demonstration and AI-enabled manufacturing acceleration.

Key Facts

The program was publicly announced by the NSF Directorate for Technology, Innovation and Partnerships (TIP), targeting vital technology sectors such as artificial intelligence and high-performance computing. It is structured around five translation themes: manufacturable materials platforms; process technology and design kits; device, circuit, and full-chip demonstrations; manufacturing readiness and transition; and AI-enabled acceleration. Industry involvement is integral within every stage to de-risk technologies and create credible adoption paths. The NSF’s OTASO (Other Transaction Agreement Solutions Offering) invites participation from an Ecosystem Coordinator and specialized expert performer teams. This initiative aligns with NSF TIP’s broader goals to accelerate emerging technology, expand geographic innovation, and prepare the workforce.

What This Means

The ELEGANT program marks a strategic investment in the future of U.S. microelectronics at a time when global competition and technological demands are rapidly intensifying. By focusing on low-dimensional semiconductor materials—which include two-dimensional atomic layers and other nanoscale structures—this initiative aims to overcome significant barriers in miniaturization and performance that conventional silicon-based methods face. Success will enable American manufacturers to develop faster, more efficient chips that power AI, advanced communications, and computing platforms critical to economic growth and national security. Moreover, by involving industry partners closely, the program ensures research translates into commercially viable outcomes, accelerating technology deployment rather than leaving innovations confined to academic labs.

For everyday consumers and businesses, these advances could eventually mean more powerful, energy-efficient electronics integrated into a broad array of applications—from smarter devices and enhanced communication networks to breakthrough computing capabilities. Nationally, maintaining leadership in microelectronics is essential to sustain technological sovereignty against rising global competition, safeguarding supply chains and fostering innovation-driven economic resilience.

Background

Microelectronics manufacturing has long driven global technological progress, but as the demand for decreased chip size and increased performance escalates, traditional silicon-based fabrication is approaching fundamental physical and economic limits. Low-dimensional materials—such as graphene and transition metal dichalcogenides—have shown promising laboratory results for next-generation electronics, including improved electrical, optical, and thermal properties. However, scaling these materials from experimental setups to reliable, manufacturable platforms has remained challenging. Previous NSF-supported research laid important groundwork in identifying and synthesizing these materials, but industry adoption stalled due to technological readiness gaps, which the ELEGANT program now intends to address.

What Remains Unclear

While the NSF ELEGANT program establishes a framework for accelerating technology translation, specific challenges remain regarding the full-scale manufacturability and economic feasibility of low-dimensional semiconductor platforms. The program will need to resolve uncertainties related to process uniformity, integration with existing manufacturing infrastructure, and long-term device reliability. The timeline for industry-wide adoption and the precise commercial applications that will emerge first are also presently undetermined.

What Comes Next

The NSF has launched the call for expert teams through its OTASO mechanism, which will form the backbone of the ELEGANT ecosystem. The selected teams will collaborate closely with industry partners to develop scalable process kits, device prototypes, and manufacturing methods. Ongoing validation by industry actors will guide the program’s milestones and technology readiness assessments. Further announcements regarding funded projects and milestones are expected as the program progresses, ultimately shaping a manufacturing ecosystem positioned for translation of advanced microelectronics into commercial products.

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What Happened

The equinox happens twice each year—in March and September—when the center of the Sun appears to cross the plane of Earth’s equator. In 2026, the March equinox will occur on March 20 at 14:46 Coordinated Universal Time (UTC), corresponding to 7:46 a.m. Eastern Daylight Time (EDT). The September equinox will fall on September 23 at 00:05 UTC, or September 22 at 5:05 p.m. Pacific Daylight Time (PDT).

On these days, observers located at the equator witness the Sun directly overhead at noon. Following the March equinox, the Sun’s apparent path in the sky shifts northward until the June solstice, after which it moves south again. It crosses the equator once more at the September equinox, continuing southward until the December solstice, then reverses direction toward the north.

Key Facts

The term “equinox” derives from Latin, meaning “equal night,” but the lengths of day and night on equinox days are not perfectly equal everywhere due to atmospheric effects and the Sun’s spherical shape. These factors cause sunlight to refract and extend daylight by several minutes around sunrise and sunset, which means the actual balance of day and night can shift depending on one’s latitude and may occur a few days before or after the equinox.

During equinoxes, both Earth’s Northern and Southern Hemispheres receive nearly equal sunlight. This unique moment also results in the simultaneous illumination of both the North and South Poles, a phenomenon unseen at other times of the year.

In the Northern Hemisphere, the March equinox heralds the onset of spring, bringing longer, warmer days. Meanwhile, in the Southern Hemisphere, this period marks the arrival of fall with shorter days and cooler nights. The roles then reverse around the September equinox.

What This Means

The equinox is a crucial astronomical marker that defines seasonal cycles critical to ecosystems, agriculture, and human activities worldwide. Its predictability helped ancient cultures develop calendars and farming schedules, a legacy still reflected in modern timekeeping.

Understanding the equinox also deepens public appreciation for Earth’s complex relationship with the Sun, as it highlights the planet’s axial tilt and orbital dynamics. For many, the equinox represents a natural rhythm that influences weather patterns, daylight hours, and the gradual progression through the seasons—factors that impact daily life from gardening to energy consumption.

Moreover, recognizing that the length of day and night is not exactly equal during the equinox underscores the subtleties of atmospheric physics and celestial mechanics, which play vital roles in Earth science and climate research.

Background

Humanity has observed equinoxes for millennia, with numerous ancient observatories and archaeological sites aligned to these events. Ancient astronomers tracked the equinoxes alongside solstices as fundamental temporal markers guiding agricultural and religious practices.

Today, the equinox remains a key aspect of astronomy education and cultural observance, connecting people to planetary motions long before technology allowed precise measurement.

What Remains Unclear

While the overall timing and phenomena of equinoxes are well understood, precise moments of day-night equalization vary locally and depend on observational factors such as horizon shape and atmospheric conditions. Ongoing observations refine understanding of these variations but no fundamental uncertainties remain concerning the equinox’s cause or timing.

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What Happened

Photographers and stargazing enthusiasts recorded the zodiacal light from the Hanle Dark Sky Reserve, a high-altitude location about 4,500 meters above sea level known for exceptional dark skies. The image features the glowing zodiacal band stretching toward the zenith, where the open star cluster M44 is visible. Near the eastern horizon, bright Jupiter emerges amid the faint glow, while the yellowish planet Mars appears close to the cluster’s center. Meteors also streaked through the scene, enhancing the cosmic atmosphere. This nighttime phenomenon was documented during September’s star party at this remote Earth location.

Key Facts

The zodiacal light is caused by sunlight scattering off fine particles of interplanetary dust concentrated in the plane of the solar system. NASA’s Juno spacecraft has provided data suggesting that Mars itself may contribute to this dust, with particles that backscatter sunlight to create the observed glow from Earth’s vantage point. The Hanle Dark Sky Reserve’s exceptional darkness at 4,500 meters altitude provides an ideal setting for observing such faint celestial phenomena. Visible celestial features include the bright planets Jupiter and Mars, the star cluster M44, and occasional meteors against the backdrop of zodiacal light.

What This Means

The vivid appearance of zodiacal light at Hanle underscores the importance of preserving dark sky locations for astronomical observation. Such sites allow both amateur and professional astronomers to study faint interplanetary phenomena that are invisible in light-polluted environments. The connection identified by NASA’s Juno mission between Mars and the interplanetary dust offering this glow enriches our understanding of the sources of zodiacal light and the dynamics within the inner solar system. For the general public, this dazzling display represents a rare natural spectacle, highlighting the complex interactions between our planet, its neighbors, and the sun. It also raises awareness of the fragile conditions needed to observe faint cosmic features, encouraging support for dark sky preservation worldwide.

Background

Zodiacal light has long been observed as a faint, elongated glow along the ecliptic—the plane of the solar system—visible under very dark conditions. Historically dubbed “false dawn,” it is caused by sunlight scattering from dust particles left over from comet tails and asteroid collisions distributed throughout the inner solar system. NASA’s ongoing exploration missions, such as Juno, have recently added new insights by pinpointing sources of this dust, refining scientific models of solar system dust dynamics.

What Comes Next

Continued monitoring of zodiacal light from dark sky reserves worldwide, coupled with spacecraft observations like those from Juno, will further clarify the contributions of various solar system bodies to interplanetary dust populations. Scheduled astrophotography gatherings, such as Hanle’s star parties, remain essential for accumulating observational data and public engagement in astronomy.

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What Happened

The NSF’s pilot program will provide financial commercialization support, expert mentorship, and connections to investors specifically targeting small businesses working on deep technologies—complex scientific and engineering innovations requiring extensive research and development to bring to market. The initiative will test and evaluate various strategies for enhancing the commercial success of these ventures over the next two years. Simultaneously, the program will generate rigorous evidence identifying the optimal conditions and approaches to efficiently translate federally funded scientific discoveries into technologies with national impact.

The pilot is authorized under the NSF Small Business Innovation Research and Small Business Technology Transfer (SBIR/STTR) Commercialization Readiness Pilot Program, continuing NSF’s longstanding commitment to early-stage technology development. Historically, the NSF SBIR/STTR programs have provided critical funding that enables startups to reduce technological risks, develop prototypes, and adapt federally supported research for commercial product development.

Key Facts

This pilot involves a $20 million investment over two years and is administered by UCF’s NCTI, located in Central Florida, a region noted for its concentration of talent and industry innovation. The NSF SBIR/STTR program, established in the late 1970s and codified by Congress in 1982, has invested $1.6 billion over five years to support technology startups. These investments have helped attract more than $36 billion in subsequent private funding for the supported companies. The program’s results will be used to develop best practices for scaling deep-technology commercialization in the United States.

What This Means

This pilot represents a significant effort to solve a persistent challenge in innovation ecosystems often referred to as the “valley of death”—the difficulty of moving advanced scientific inventions out of the lab and into the marketplace. By providing tailored commercialization support and systematically studying what works, the program could pave the way for more effective translation of breakthrough research into products that improve lives, boost economic growth, and maintain U.S. competitiveness in global technology sectors.

For small businesses specialized in deep technologies—such as advanced materials, quantum computing, or novel biotechnologies—this initiative could provide new pathways to attract investment, scale development, and reduce the risks involved in commercializing complex innovations. Ultimately, by integrating research translation with practical commercialization insights, the program aims to build a model that benefits both regional innovation ecosystems like Central Florida’s and the broader national technology landscape.

Background

The NSF has historically supported early-stage research through SBIR/STTR, providing funding to reduce technical uncertainty and help startups create prototypes. However, many federally funded innovations struggle to reach the commercial phase due to funding gaps, market challenges, and the specialized nature of deep technology development. This pilot program is part of a strategic effort to deepen NSF’s role beyond initial R&D investment, focusing on the translation and commercialization phases critical to national technological leadership.

What Comes Next

Over the course of the pilot, UCF’s NCTI will administer commercialization funding, mentor participating companies, and connect them with investors while rigorously evaluating the factors driving successful commercialization. The findings will inform future NSF programs and establish evidence-based best practices for the commercialization of federally funded deep-technology ventures. The program’s outcomes will help shape policies and support frameworks aimed at bridging the gap between research breakthroughs and their tangible market impact.

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What Happened

Founded by MIT research scientist A.J. Perez along with former Maine senator Matt Pouliot, Atlas Building Composites commercialized technology developed at MIT’s Department of Mechanical Engineering under the MIT HAUS initiative. The company’s innovative system shreds single-use plastics—like water bottles—melts them, and fuses them with American-made fiberglass. This composite material is then shaped by a large-scale 3D printer into building parts including floor, wall, and roof trusses. The robotic manufacturing platform, dubbed the Atlas Factory Stack, has already been deployed in practical applications. Notably, Atlas supplied the U.S. Army Corps of Engineers with recycled composite trusses used in constructing a 40-foot bridge in a Massachusetts wetland.

Key Facts

Atlas Building Composites was formed from MIT research, specifically from the Home Architecture for Universal Sustainability (HAUS) program. The company’s technology produces composite parts stronger than wood by combining recycled plastic with fiberglass. Production speeds at MIT lab prototypes yield 60 to 80 pounds of parts per hour, while commercial Atlas systems operate in the 150 to 200 pounds per hour range. The composite trusses can be manufactured in under 13 minutes and exceed structural standards by supporting loads over 4,000 pounds. Atlas’s process uses no water for recycling, eliminating permitting and infrastructure challenges associated with water-dependent recycling facilities.

What This Means

This technology represents a significant advancement in addressing two pressing global issues simultaneously: the chronic shortage of affordable housing and the rampant plastic pollution crisis. By turning plastic waste into durable building materials, Atlas is reducing reliance on traditional construction resources such as timber and concrete, which have considerable environmental footprints. The waterless recycling technique makes it feasible to deploy recycling and manufacturing facilities in water-scarce regions, democratizing sustainable building material production worldwide.

Furthermore, Atlas’s approach fosters localized manufacturing, which can decrease transportation carbon emissions, create regional job opportunities, and reduce supply chain vulnerabilities—critical benefits in a global economy facing increasing material shortages and logistical bottlenecks. This model contrasts with traditional centralized production methods and aligns with growing demands for circular economy solutions.

Background

The Atlas initiative originated from MIT HAUS, led by Perez since earning his PhD. The research initially aimed to enable the production of one billion homes over 30 years but faced the issue of global material constraints. Recognizing the environmental and supply risks of traditional building materials, the founders pivoted to plastic recycling as a dual solution. Collaborations with MIT’s Technology Licensing Office and researchers at other universities helped refine the robotic manufacturing platform.

The Bigger Picture

Atlas’s innovation fits into the expanding field of sustainable manufacturing and circular economy strategies. With eight gigatons of plastic produced globally—much of it polluting ecosystems—the urgent need for scalable recycling solutions is critical. Simultaneously, housing deficits continue to grow worldwide, particularly in rapidly urbanizing regions. AI-driven additive manufacturing combined with recycled materials could revolutionize how building supplies are produced and consumed on a global scale.

What Comes Next

Atlas plans to scale its operations by partnering with international franchisees to deploy its Factory Stack systems worldwide. Each factory cell currently produces enough structural framing components for approximately one small home per day, with ambitions to localize manufacturing and recycling operations to communities near construction sites. Regulatory approvals and market adoption in various regions remain to be seen as these deployments progress.

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What Happened

Established in 1950 to sustain U.S. discovery at the scientific frontier, the NSF now acknowledges that its traditional funding and organizational models require modernization. In a statement released in 2024, Brian Stone highlighted how the science ecosystem has evolved, with research increasingly conducted by diverse actors beyond historically funded institutions, including philanthropy and private sector involvement. Artificial intelligence is also reshaping both research subjects and methods.

To address these changes, NSF is adopting a portfolio approach that aligns funding structures with the nature of scientific work. The agency aims to support a wider range of researchers—particularly exceptional students and early-career scientists—encouraging multidisciplinary projects at the cutting edge of science. The creation of a new Office of Metascience will systematically assess new initiatives’ impact, scaling successful programs and discontinuing ineffective ones. The NSF plans to launch a series of formal communications and funding opportunities to implement these priorities.

Key Facts

The NSF’s new strategic direction builds on the July 2023 Science: A New Golden Age report, the first major reassessment of U.S. science policy since Vannevar Bush’s 1945 seminal work. The vision aligns with the Fiscal Year 2028 Office of Management and Budget (OMB) and Office of Science and Technology Policy (OSTP) R&D Budget Priorities Memorandum. NSF’s leadership intends to collaborate closely with other federal research agencies. The agency has served as a cornerstone of U.S. science funding for 76 years.

What This Means

This strategic update signals a significant shift in how the U.S. federal government supports scientific research. By recognizing the distributed nature of today’s research talent and funding landscape, the NSF is positioning itself to remain a key innovator in a more complex and dynamic environment. For researchers, this could mean greater access to resources early in their careers and increased opportunities for cross-disciplinary collaboration. For the public, it promises accelerated scientific progress and innovations emerging from diverse sectors including academia, philanthropy, and industry.

Moreover, the emphasis on metascience—a rigorous, data-driven evaluation of research programs—reflects a growing commitment to evidence-based policy within science administration. This could improve the efficiency of taxpayer-supported research investments and ensure that U.S. science stays globally competitive amid rapid technological change such as advances in artificial intelligence.

The NSF’s renewed focus also underscores the importance of adaptability in science funding, responding to evolving challenges rather than relying solely on legacy models. This approach may influence other federal and private research initiatives, potentially shaping the future landscape of innovation and discovery nationwide.

Background

The 2023 Science: A New Golden Age report, cited as the foundational document for NSF’s new strategy, was the first comprehensive reevaluation of the American science and technology enterprise since the influential 1945 Science: The Endless Frontier by Vannevar Bush. Bush’s report originally laid the groundwork for the NSF’s creation, emphasizing the importance of federal support in fostering basic research.

What Comes Next

NSF plans to release a series of Dear Colleague Letters and funding announcements in the coming months to communicate its updated priorities and solicit proposals aligned with this strategic vision. The agency will also expand efforts to identify and support promising early-stage researchers and encourage multidisciplinary collaboration across various fields. Through the Office of Metascience, NSF will continue to evaluate and refine its initiatives, aiming to increase scientific breakthroughs and discovery frequency.

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What Happened

The QMIT Fellowship was launched in December 2025 as part of MIT’s strategic initiative to foster cutting-edge quantum research. The program selects outstanding early-career researchers working across physics, chemistry, materials science, and emerging biological and Earth science applications. These fellows will conduct their research at MIT during the 2026 academic year, joining various departments and affiliated centers such as the Research Laboratory of Electronics, MIT Lincoln Laboratory, and the MIT-Harvard Center for Ultracold Atoms.

The fellowship seeks to promote interdisciplinary work that integrates quantum science with other fields, including the exploration of quantum computing, sensing, materials, simulation, networks, and the integration of artificial intelligence. Applications for the next cohort are expected to open in fall 2026.

Key Facts

The MIT Quantum Initiative, established as a strategic priority in 2025, aims to catalyze research addressing scientific and technological challenges in quantum science. The new postdoctoral fellowship is funded by a grant from the Gordon and Betty Moore Foundation, a philanthropic organization with a history of supporting scientific innovation.

The program targets postdoctoral researchers with deep quantum expertise combined with interdisciplinary interests, embedding fellows across MIT’s expansive quantum ecosystem. The fellowship promotes collaborations among departments of physics, electrical engineering and computer science, chemistry, and various research labs focused on quantum technologies.

What This Means

This fellowship program represents a significant investment in human capital at a pivotal moment in quantum research. By emphasizing interdisciplinary collaboration, MIT is positioning itself to advance quantum science beyond traditional boundaries, potentially leading to breakthroughs in understanding complex biological processes and developing new quantum-enabled technologies. For the broader scientific community, this initiative can accelerate innovation in quantum computing, sensing, and communication, fields expected to transform computing infrastructure and materials science in the coming decade.

Moreover, the focus on integrating quantum science with artificial intelligence and other emerging disciplines signals a strategic vision to create novel hybrid technologies. The program also serves as a talent pipeline, preparing leading quantum researchers who will influence academia, industry, and national security sectors. For emerging scientists, such fellowships provide critical resources and networks that can shape successful independent research careers in an increasingly competitive field.

Background

The MIT Quantum Initiative was founded in late 2025 to unify and accelerate MIT’s quantum research efforts across its many departments and laboratories. The Initiative addresses the growing societal and industrial impact of quantum technologies, which include computing, secure communications, and precision measurement. MIT’s leadership sees quantum science as an interdisciplinary frontier requiring both deep foundational knowledge and innovative cross-disciplinary approaches.

What Comes Next

The inaugural QMIT Fellows will start their appointments in the 2026 academic year. MIT plans to continue expanding the fellowship program, with applications for subsequent cohorts opening in fall 2026. This ongoing effort will help sustain a collaborative community of early-career researchers pushing the boundaries of quantum science.

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What Happened

During the U.S. Navy’s Operation Ice Camp (OIC) in 2024, MIT Lincoln Laboratory scientists integrated commercial off-the-shelf sensors, including geophones, to capture under-ice vibrations such as cracking sea ice and marine mammal vocalizations. In March 2026, they returned with a higher-fidelity geophone to further characterize these acoustic signals. Concurrently, the team tested a magnetic field-based modem from Norwegian startup Havguard to transmit data through sea ice, a method designed to overcome challenges posed by seawater attenuation of radio frequencies. This trial was conducted under both drifting Arctic sea ice and the landfast ice of Utqiaġvik (Barrow), Alaska, where they drilled through 3.6 feet of ice and deployed a remotely operated vehicle (ROV) equipped with the modem and sensors.

Key Facts

The research was conducted by the Advanced Undersea Systems and Technology Group at MIT Lincoln Laboratory, with fieldwork supported by the Navy’s Arctic Submarine Laboratory and UIC Science in Utqiaġvik. The geophones detected sound profiles including beluga whale calls and ice fracturing events. The through-ice communication system achieved approximately 1.2 kilobytes per second data transmission on an alpha prototype, despite extreme Arctic conditions that included sustained temperatures of minus 25 degrees Fahrenheit and blizzard-induced whiteouts. The sensors and modem were tested both on drifting ice during OIC and on stable landfast ice using a ROV under a drilled ice hole. Data from aerial drone imaging and Doppler velocity loggers allowed precise tracking of the ROV and verification of communication rates. The scientific outcomes will be published in relevant defense R&D reports and are rooted in collaborations with University of Maryland and other Arctic research partners.

What This Means

This research expands understanding of the Arctic’s dynamic under-ice soundscape, a critical development given climate-driven ice loss and increasing maritime activity in the region. By characterizing distinct acoustic signatures of fracturing ice and marine mammals, scientists gain a new tool for monitoring environmental changes and tracking wildlife remotely. The successful demonstration of through-ice communication using magnetic induction lays groundwork for reliable data transmission in harsh, inaccessible Arctic environments without heavy human presence. Such technology could transform how Arctic operations—military, commercial, or environmental—are conducted by enabling real-time sensor networks that withstand extreme weather and ice movement. Ultimately, this research supports U.S. strategic interests in the Arctic by improving observational infrastructure critical to navigation, security, and ecosystem management.

Background

Operation Ice Camp, held biennially, offers a rare platform for researchers to deploy and test prototypes in one of the harshest environments on Earth, facilitating advances aligned with Department of Defense priorities to secure and understand the Arctic. Earlier data sets from 2024 revealed marine mammal vocalizations and icequake sounds but also highlighted the challenge of distinguishing overlapping acoustic sources beneath sea ice. Prior to Arctic deployment, the magnetic communication technology had been trialed in freshwater reservoirs in Vermont to refine system protocols.

What Remains Unclear

While researchers confirmed the feasibility of through-ice magnetic communication, full optimization of the modem’s packaging for practical Arctic deployment remains underway. The exact differentiation techniques between icequake events and marine mammal songs using machine learning are still under development. Additionally, the varying acoustic propagation behaviors through diverse ice types and thicknesses require further systematic study for predictive modeling.

What Comes Next

Looking ahead to OIC 2028, the laboratory team plans to design air-droppable sensor units and continue refining the magnetic communication system with Havguard. The objective is to enable longer-term, distributed, autonomous sensor arrays that minimize the need for human presence on the ice. Collaborations with external research groups will expand the use of machine learning to improve signal discrimination and predictive capacity. Engagement with Arctic communities will remain integral to deploying these technologies responsibly and effectively.

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