Two Indian American Duke Researchers Selected For Federal AI Research Program Under DOE's Genesis Mission

Two Indian American researchers at Duke University, Gaurav Arya and Tania Roy, have been selected to lead components of four Duke-affiliated teams chosen for the U.S. Department of Energy's Genesis Mission, a sweeping national initiative aimed at using artificial intelligence to accelerate scientific discovery across a range of fields — from modelling atomic nuclei and reacting faster to stellar explosions, to imbuing robots with more brain-like circuitry and designing entirely new DNA-based materials. The Genesis Mission is being built by the DOE as what the agency describes as the world's most powerful integrated science discovery platform, and the newly announced Phase I awards, ranging from $500,000 to $750,000 and running for nine months, mark an early but significant step in that ambitious federal undertaking.

Arya, a professor in Duke's Pratt School of Engineering within the Thomas Lord Department of Mechanical Engineering and Materials Science, leads the Duke project on 'AI-Driven Inverse Design of Patchy DNA Origami for Assembly of Programmable Superlattices.' The project centres on an emerging and genuinely cutting-edge area of materials science: DNA origami, a technique that involves precisely folding DNA strands to create materials with nanoscale structures engineered for specific energy-related applications. While folding DNA in different configurations can, in principle, produce an enormous variety of distinct materials, actually planning and designing those configurations represents an extraordinarily difficult computational challenge — one that Arya's team believes artificial intelligence is particularly well positioned to help solve.

According to Arya, the research effort is aimed squarely at an enormous, largely untapped design space, with the team expecting that the novel biomaterials emerging from this work could meaningfully impact industries ranging from energy production and chemical manufacturing to, potentially, quantum computing. That breadth of potential application reflects just how foundational this kind of materials-design research can prove to be — DNA origami-derived materials, if the AI-driven design methodology Arya's team is developing proves successful, could feed into multiple, otherwise unrelated downstream industries simultaneously, a characteristic that likely factored into the Genesis Mission's decision to fund the project as part of its broader scientific discovery platform.

Arya's academic research more broadly focuses on using physics-based computational tools to build fundamental, molecular-level understanding of a diverse range of biological and soft-material systems, with the explicit aim of discovering new phenomena and developing new technologies from that foundational understanding. That research orientation — grounding highly applied, technology-oriented outcomes in rigorous, first-principles physical modelling — reflects a research philosophy that has become increasingly influential across materials science and computational biology over the past decade, as advances in computing power have made physics-based simulation an increasingly viable complement to, and sometimes substitute for, purely experimental materials discovery.

Tania Roy, an Associate Professor of Electrical and Computer Engineering also within Duke's Pratt School of Engineering, is part of a second Duke project, led by fellow Duke researcher Yiran Chen, focused on 'Neuromorphic Circuit Primitives for Robotic Embodied Physical AI.' The project's central goal is to develop new AI hardware for robots that the team says could prove up to ten times faster and 100 times more energy-efficient than current robotic AI hardware designs — a dramatic potential leap in both speed and efficiency that, if achieved, could meaningfully expand the practical range of tasks AI-powered robots are capable of performing outside of narrow, highly controlled niche applications.

The technical approach underpinning Roy and Chen's project involves designing neuromorphic processors — computing hardware deliberately structured to mimic the architecture and function of biological brains and nervous systems, rather than following the more conventional digital computing architectures that have dominated electronics for decades. That neuromorphic approach directly targets what the research team has identified as one of the central bottlenecks currently limiting AI-powered robotics: the speed at which robotic systems can process incoming data from cameras and other sensors, a processing bottleneck that has, according to the team, kept many otherwise promising AI robotics applications confined to narrow, specialised use cases rather than broader, more general-purpose deployment.

Roy's own research programme focuses specifically on developing hardware for artificial intelligence applications built around novel functional materials, including two-dimensional materials — an active and rapidly evolving subfield of materials science and electrical engineering that has drawn increasing research investment globally as the limitations of conventional silicon-based computing architectures have become more apparent, particularly for the kind of power-hungry, computationally intensive AI applications that have proliferated over recent years. Chen, the lead researcher on the neuromorphic robotics project, offered a particularly vivid description of the team's ultimate technical ambition, describing the eventual completed system as resembling a synthetic organism whose fundamental neuromorphic computing components would function much like muscles, skeleton, and nervous system working together in a biological body.

The Genesis Mission itself represents a significant expansion of the Department of Energy's role in directly funding and coordinating AI-driven scientific research at a national scale, reflecting a broader federal policy recognition that artificial intelligence has become an increasingly indispensable tool for accelerating discovery across virtually every major scientific discipline the DOE oversees, from nuclear physics and astrophysics to materials science and robotics. By funding multiple, thematically diverse Phase I projects simultaneously across leading research universities including Duke, the DOE appears to be deliberately casting a wide net across different AI-driven scientific discovery approaches, rather than committing early, large-scale funding to any single narrow research direction.

For Duke University specifically, having two of its four selected Genesis Mission project teams led or co-led by Indian American faculty members reflects the broader, increasingly visible pattern of Indian-origin researchers occupying prominent positions within some of the most closely watched, federally funded scientific initiatives currently underway in the United States. That pattern extends well beyond Duke alone, with Indian American researchers increasingly represented across senior faculty and principal investigator roles throughout the country's most prominent federally funded AI, materials science, and computational research programmes.

The nine-month Phase I funding period will require both Arya's and Roy's teams to demonstrate meaningful technical progress on their respective projects before any subsequent, larger-scale funding phases might be considered by the DOE — a fairly standard structure for major federal research initiatives of this scale, designed to allow the funding agency to assess early technical viability before committing more substantial long-term resources to any individual research direction. Given the genuinely ambitious technical goals both Duke teams have set out — AI-designed DNA materials capable of self-assembling into programmable structures, and neuromorphic robotic hardware offering order-of-magnitude improvements in speed and efficiency — the coming months are likely to be closely watched both within Duke's own research community and across the broader national network of institutions participating in the Genesis Mission's inaugural funding cohort.

For the broader Indian American scientific and academic community, the selection of Arya and Roy adds to a growing list of Indian-origin researchers gaining recognition through some of the country's most prominent and closely watched federal science initiatives — concrete evidence of the depth and breadth of Indian-origin technical leadership now embedded across America's frontier scientific research enterprise, from university materials science laboratories to the highest levels of federally coordinated AI research strategy.

The Genesis Mission's broader structure also reflects lessons the DOE has drawn from previous large-scale federal science initiatives, deliberately distributing initial funding across a genuinely wide range of institutions and research directions rather than concentrating early investment in any single laboratory or narrow technical approach — a strategy designed to maximise the probability that at least some of the funded projects produce genuinely transformative scientific breakthroughs, even while accepting that others may prove less immediately successful.

For Duke University's broader research ecosystem, having two Genesis Mission-funded teams operating simultaneously creates meaningful opportunities for cross-pollination between Arya's materials-science-focused DNA origami work and Roy's neuromorphic hardware research, given that both projects ultimately depend on sophisticated AI-driven design methodologies, even though they target entirely different physical substrates and application domains.

As the nine-month Phase I period unfolds, both research teams are expected to publish interim technical findings through standard academic channels, offering the broader scientific community visibility into their progress well before any DOE decision on subsequent funding phases, consistent with the transparency expectations typically attached to major federally funded research initiatives of this scale and visibility.

For now, the selection of Arya and Roy stands as a clear marker of just how central Duke's engineering faculty has become to the federal government's most ambitious current bet on AI-accelerated scientific discovery, with both researchers now carrying the added visibility, and added expectation, that comes with representing their university on one of the country's highest-profile new national science initiatives.