{"id":1969,"date":"2026-04-07T09:00:37","date_gmt":"2026-04-07T13:00:37","guid":{"rendered":"https:\/\/tickle.utk.edu\/mse\/?p=1969"},"modified":"2026-04-09T15:15:54","modified_gmt":"2026-04-09T19:15:54","slug":"leveraging-ai-interdisciplinary-methods-for-quantum-and-extreme-material-development","status":"publish","type":"post","link":"https:\/\/tickle.utk.edu\/mse\/leveraging-ai-interdisciplinary-methods-for-quantum-and-extreme-material-development\/","title":{"rendered":"Leveraging AI, Interdisciplinary Methods for Quantum and Extreme Material Development"},"content":{"rendered":"

Over the last three years, the interdisciplinary team at the University of Tennessee\u2019s <\/span>Center for Advanced Materials and Manufacturing<\/span><\/a> (CAMM) has contributed to more than 41 research publications advancing the design and synthesis of next-generation materials for use in quantum computing, renewable energy, national security, and aerospace engineering.<\/span>\u00a0<\/span><\/p>\n

What\u2019s even more impressive is that nearly half of the team\u2019s members are still earning their degrees.<\/span>\u00a0<\/span><\/p>\n

CAMM is a National Science Foundation (NSF) Materials Research Science and Engineering Center (MRSEC)\u2014one of a network of collaborative, interdisciplinary research and education facilities addressing pressing needs in science and engineering. Established in 2023 with a starting grant of $18 million, CAMM is devoted to researching quantum materials and materials for extreme environments, with an emphasis on developing artificial intelligence (AI) processes and tools to transform material development.<\/span>\u00a0<\/span><\/p>\n

Three years after its inception, CAMM now includes more than 40 UT faculty members, representing four departments in the Tickle College of Engineering (TCE) and three in the College of Arts and Sciences (CAS). Thirteen postdoctoral fellows and more than 30 graduate students also work at the center, helping train nearly 20 undergraduate researchers.<\/span>\u00a0<\/span><\/p>\n

\u201cA MRSEC can do a lot more than I first realized,\u201d said CAMM director <\/span>Alan Tennant<\/span><\/a>, who holds joint professorships in TCE\u2019s Department of Materials Science and Engineering (MSE) and CAS\u2019s Department of Physics and Astronomy. \u201cThe <\/span>opportunity to build a new kind of environment for our students, postdocs, and faculty has exceeded our expectations by a significant margin.\u201d<\/span>\u00a0<\/span><\/p>\n

CAMM\u2019s greatest impact lies in its transformative approach to research, training, and education. Researchers from every part of the academic and career pipeline participate in <\/span>state-of-the-art approaches across disciplines, gaining experience in new techniques and interdisciplinary collaboration much earlier than is possible in a traditional laboratory setting.<\/span>\u00a0<\/span><\/p>\n

Graduate students within the MRSEC have multiple faculty advisors and conduct cross-disciplinary work. Undergraduates are encouraged to rotate frequently, benefiting from the expertise of graduate students, postdocs, and faculty in multiple fields.<\/span>\u00a0<\/span><\/p>\n

That collaborative structure can have a profound effect on early-career researchers, said<\/span>\u00a0<\/span>MSE Assistant Professor <\/span>Yishu Wang<\/span><\/a>, CAMM\u2019s deputy director of education, community, outreach, and recruitment (ECOR).<\/span>\u00a0<\/span><\/p>\n

\u201cAs a junior faculty member in CAMM, <\/span>I was able to start applying machine-learning methods to quantum materials problems before that became a broader trend,\u201d Wang said. \u201cThis early engagement has allowed me to integrate these approaches more naturally into my research program, positioning me to take advantage of new opportunities as the field evolves.\u201d<\/span>\u00a0<\/span><\/p>\n

Interdisciplinary Training and Mentorship<\/span><\/b>\u00a0<\/span><\/h2>\n

A CAMM team recently published the most accurate map ever constructed of how a single helium atom interacts with one molecule of benzene, a naturally occurring carbon compound, creating a better foundation for designing future quantum materials and devices.<\/span>\u00a0<\/span><\/p>\n

The project involved high-level quantum chemistry, machine learning, and quantum simulations\u2014and the research team included three graduate students.<\/span>\u00a0<\/span><\/p>\n

\u201cI see every day how our culture of innovation and collaboration transforms traditional research training,\u201d said Amber White, CAMM\u2019s program manager. \u201cWe are fostering a dynamic community where participants grow as leaders, communicators, and collaborators, uniquely positioning them to succeed in today\u2019s evolving workforce.\u201d<\/span>\u00a0<\/span><\/p>\n

In addition to giving students at all levels the opportunity to collaborate with teams in different research areas\u2014and across IRGs\u2014<\/span>CAMM organizes professional development workshops at the Institute of Advanced Materials and Manufacturing (IAMM). The workshops cover technical topics like how to use different AI techniques as well as interpersonal and career topics like time management, negotiation skills, and entrepreneurship.<\/span>\u00a0<\/span><\/p>\n

CAMM also emphasizes communication skills, especially how to communicate research results and their real-world impact to the public. Workshops on scientific writing and similar skills are rounded out with informal conversations and mentor relationships, which graduate students experience from both sides.<\/span>\u00a0<\/span><\/p>\n

\u201cMany CAMM students have remarked that explaining their research to visiting high schoolers or mentoring undergraduate students helps them better understand what they are doing,\u201d said MSE Professor and CAMM ECOR Director <\/span>Claudia Rawn<\/span><\/a>. \u201cParticipating in outreach and mentoring forces them to think about their research in both the \u2018big picture\u2019 and fundamental contexts, and why and how their research fits with CAMM\u2019s goals.\u201d<\/span>\u00a0<\/span><\/p>\n

Complex, Impactful Research<\/span><\/b>\u00a0<\/span><\/h2>\n

Like all MRSECs, CAMM immerses every participating researcher\u2014from first-year undergraduate to senior faculty member\u2014in an interdisciplinary research group (IRG).<\/span>\u00a0<\/span><\/p>\n

CAMM\u2019s IRG1 combines experts in physics, chemistry, materials science, and electrical engineering and computer science to study quantum materials. IRG2 brings materials scientists together with civil, environmental, and nuclear engineers to develop materials that can function in extreme temperature, pressure, and radiation conditions.<\/span>\u00a0<\/span><\/p>\n

The IRGs are far from isolated, however. They are connected with shared emphasis on AI techniques; both also take advantage of state-of-the-art tools at UT and ORNL, including neutron sources, high-performance computing support, electron spectroscopy and microscopy facilities, and both high and low-temperature testing equipment.<\/span>\u00a0<\/span><\/p>\n

They also frequently cross-pollinate; more than a dozen of the research publications resulting from CAMM so far have involved researchers from both IRGs.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n

\u201cThe science really only works if physicists, materials scientists, mathematicians, chemists, and computer scientists are in conversation from the beginning,\u201d said IRG1 Lead Investigator <\/span>Adrian Del Maestro<\/span><\/a>, a professor in the Min H. Kao Department of Electrical Engineering and Computer Science. \u201cCAMM gives us a framework for tackling that complexity as a team rather than in isolation.\u201d<\/span>\u00a0<\/span><\/p>\n

IRG members\u2019 cross-disciplinary interactions often lead to more creative and effective solutions to research problems, Wang said, and help faculty and students alike access perspectives that challenge the assumptions of their respective fields.<\/span>\u00a0<\/span><\/p>\n

CAMM\u2019s incredible publication record and training success over its brief history are testaments to the far-reaching impacts of interdisciplinary cooperation and a research culture built around AI, simulation, and real-time data interpretation.<\/span>\u00a0<\/span><\/p>\n

As the center embarks on its fourth year, new and ongoing research projects promise to continue pushing the boundaries of material development. Del Maestro says that pre-trained AI models, autonomous experiment steering, shared computational resources, and CAMM seed funding will help the center\u2019s researchers design better experiments and learn from them faster.<\/span>\u00a0<\/span><\/p>\n

\u201c<\/span>Participating in CAMM has broadened both the scope of the questions we can ask and the tools we\u202fbring to the work,\u201d he said. \u201cThe exciting part is not just that the data are big; it is that new tools are finally letting us ask and answer scientific questions that used to be out of reach.\u201d<\/span>\u00a0<\/span><\/p>\n

Contact<\/h2>\n

Izzie Gall (egall4@utk.edu<\/a>)<\/p>\n","protected":false},"excerpt":{"rendered":"

Over the last three years, the interdisciplinary team at the University of Tennessee\u2019s Center for Advanced Materials and Manufacturing (CAMM) […]<\/p>\n","protected":false},"author":28,"featured_media":1971,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[14],"tags":[],"class_list":["post-1969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"yoast_head":"\nLeveraging AI, Interdisciplinary Methods for Quantum and Extreme Material Development - Materials Science and Engineering<\/title>\n<meta name=\"description\" content=\"UT\u2019s Center for Advanced Materials and Manufacturing promotes interdisciplinary research and mentorship while pushing the cutting edge of materials science and engineering.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tickle.utk.edu\/mse\/leveraging-ai-interdisciplinary-methods-for-quantum-and-extreme-material-development\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Leveraging AI, Interdisciplinary Methods for Quantum and Extreme Material Development - 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