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X-WR-CALNAME:The Artificial Intelligence Materials Institute
X-ORIGINAL-URL:https://aimi.cornell.edu
X-WR-CALDESC:Events for The Artificial Intelligence Materials Institute
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DTSTART;TZID=America/New_York:20261001T100000
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SUMMARY:AI-MI Seminar Series: Heng Ji (University of Illinois Urbana-Champaign)
DESCRIPTION:Speaker: Heng Ji\, University of Illinois Urbana-Champaign \nTalk title and abstract to be announced. \nThe talk will be livestreamed on the AI-MI YouTube channel.
URL:https://aimi.cornell.edu/event/ai-mi-seminar-series-heng-ji-university-of-illinois-urbana-champaign/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://aimi.cornell.edu/wp-content/uploads/seminar-2026-10-01-card-scaled.png
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DTSTART;TZID=America/New_York:20261015T100000
DTEND;TZID=America/New_York:20261015T110000
DTSTAMP:20260831T190536Z
CREATED:20260831T190536Z
LAST-MODIFIED:20260831T190536Z
UID:2199-1792058400-1792062000@aimi.cornell.edu
SUMMARY:AI-MI Seminar Series: Daniel Tabor (Texas A&M University)
DESCRIPTION:Speaker: Daniel Tabor\, Texas A&M University \nTalk title and abstract to be announced. \nThe talk will be livestreamed on the AI-MI YouTube channel.
URL:https://aimi.cornell.edu/event/ai-mi-seminar-series-daniel-tabor-texas-am-university/
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261029T100000
DTEND;TZID=America/New_York:20261029T110000
DTSTAMP:20260902T142239Z
CREATED:20260824T143516Z
LAST-MODIFIED:20260902T142239Z
UID:2186-1793268000-1793271600@aimi.cornell.edu
SUMMARY:AI-MI Seminar Series: Adrian Del Maestro (University of Tennessee)
DESCRIPTION:Join us for the next AI-MI Seminar Series talk as we explore how machine learning can push interaction potentials to the accuracy quantum many-body predictions actually require. \nHelium adsorbed on atomically thin substrates hosts some of the most interesting quantum many-body physics available in the lab — but what you predict depends sensitively on the adsorption potential you start from. This talk combines actively selected coupled-cluster calculations\, multi-fidelity Gaussian process regression and knowledge distillation from universal interatomic potentials to reach single-wavenumber accuracy\, a level at which the physics itself changes. \nWatch live at youtube.com/@AIMaterialsInstitute \nTopic: Helium on atomically thin substrates enables exotic quantum many-body physics\, but predictions depend sensitively on the adsorption potential. For benzene and larger polycyclic aromatic hydrocarbons\, we combine actively selected coupled-cluster calculations\, multi-fidelity Gaussian process regression\, and knowledge distillation from universal interatomic potentials to achieve single-wavenumber accuracy. Quantum Monte Carlo reveals qualitative changes in solvation relative to existing models. \nSpeaker: Adrian Del Maestro is Professor and Head of Physics & Astronomy at the University of Tennessee\, Knoxville\, with an additional appointment in Electrical Engineering and Computer Science. He leads an interdisciplinary AI-for-quantum-materials group in UT’s NSF-funded MRSEC\, using high-performance computing and AI to study collective quantum phenomena. He earned his Ph.D. from Harvard and previously held appointments at UBC\, Johns Hopkins\, and the University of Vermont.
URL:https://aimi.cornell.edu/event/ai-mi-seminar-series-learning-non-covalent-interactions-at-the-wavenumber-scale/
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://aimi.cornell.edu/wp-content/uploads/delmaestro-card.jpg
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DTSTART;TZID=America/New_York:20261210T100000
DTEND;TZID=America/New_York:20261210T110000
DTSTAMP:20260831T190519Z
CREATED:20260831T190519Z
LAST-MODIFIED:20260831T190519Z
UID:2200-1796896800-1796900400@aimi.cornell.edu
SUMMARY:AI-MI Seminar Series: Ying Diao (University of Illinois Urbana-Champaign)
DESCRIPTION:Speaker: Ying Diao\, University of Illinois Urbana-Champaign \nTalk title and abstract to be announced. \nThe talk will be livestreamed on the AI-MI YouTube channel.
URL:https://aimi.cornell.edu/event/ai-mi-seminar-series-ying-diao-university-of-illinois-urbana-champaign/
CATEGORIES:Seminar
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