AI for Materials and Molecules

Wednesday, November 4, 2026 at 1:20 PM to 4:30 PM · 3 hr. 10 min. (America/Chicago)
Room 107A (First Floor)
Oral Session
This session includes 6 presentations

Information

This symposium will host a collection of presentations emphasizing on the state-of-the-art progress of applications of AI for materials and molecules. It will cover foundational machine learning models, generative AI, AI guided lab automation, as well as specialized AI/ML tools.
Session Organizer/Presider List
De-en Jiang (Organizer), Mingjie Liu (Organizer), Bin Ouyang (Organizer), Yinong Zhou (Organizer)
Co-sponsor(s)
PHYS: Division of Physical Chemistry; COMP: Division of Computers in Chemistry

Presentations

SE153: FermiLink: An AI harness for quantum transport measurements of 2D materials and molecular simulations

Wednesday, November 4, 2026 at 1:20 PM to 1:40 PM
Room 107A (First Floor)

SE154: Theoretical insights into hydrogenation and proton transport in ABO3 perovskites

Wednesday, November 4, 2026 at 1:40 PM to 2:10 PM
Room 107A (First Floor)

SE155: Research competitiveness in the AI era: Synergistic innovation through scientific insight and intelligent tools

Wednesday, November 4, 2026 at 2:10 PM to 2:40 PM
Room 107A (First Floor)

SE156: Machine learning-assisted discovery and design of enhanced interfacial superconductivity

Wednesday, November 4, 2026 at 2:40 PM to 3:10 PM
Room 107A (First Floor)

Intermission

Wednesday, November 4, 2026 at 3:10 PM to 3:30 PM
Room 107A (First Floor)

SE157: Accelerating materials discovery and synthesis through machine learning

Wednesday, November 4, 2026 at 3:30 PM to 4:00 PM
Room 107A (First Floor)

SE158: Machine-learning prediction of adsorption in nanoporous zeolites

Wednesday, November 4, 2026 at 4:00 PM to 4:30 PM
Room 107A (First Floor)

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