Bulletin of the American Physical Society

APS March Meeting 2021

Volume 66, Number 1

Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA

Session Index

Session C21: Machine Learning for Quantum Matter III

Focus Session Live

Show Abstracts

Sponsoring Units: DCOMP GDS DMP
Chair: Muratahan Aykol, Toyota Research Institute

Monday, March 15, 2021 3:00PM - 3:36PM Live		C21.00001: Neural networks for atomistic modelling - are we there yet? Invited Speaker: Emine Kucukbenli
Monday, March 15, 2021 3:36PM - 3:48PM Live		C21.00002: Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks Tess Smidt, Mario Geiger, Benjamin Kurt Miller
Monday, March 15, 2021 3:48PM - 4:00PM Live		C21.00003: Machine learning dielectric screening for the simulation of excited state properties of molecules and materials Sijia Dong, Marco Govoni, Giulia Galli
Monday, March 15, 2021 4:00PM - 4:12PM Live		C21.00004: Generative Model Learning For Molecular Electronics Andrew Mitchell, Jonas Rigo, Sudeshna Sen
Monday, March 15, 2021 4:12PM - 4:24PM Live		C21.00005: An assessment of the structural resolution of various fingerprints commonly used in machine learning Behnam Parsaeifard, Deb De, Anders Christensen, Felix A Faber, Emir Kocer, Sandip De, Jorg Behler, O. Von Lilienfeld, Stefan A Goedecker
Monday, March 15, 2021 4:24PM - 4:36PM Live		C21.00006: Vestigial nematic order in Pd-RTe3 studied using X-ray diffraction TEmperature Clustering (X-TEC) Krishnanand Mallayya, Michael Matty, Joshua Straquadine, Matthew Krogstad, Raymond Osborn, Stephan Rosenkranz, Ian R Fisher, Eun-Ah Kim
Monday, March 15, 2021 4:36PM - 4:48PM Live		C21.00007: Reactive Machine Learning Potential Models for the NO Formation Reaction Andrew Johannesen, Jason Goodpaster
Monday, March 15, 2021 4:48PM - 5:00PM Live		C21.00008: Achieving Smaller Effective Spot Sizes in nano-ARPES with Machine Learning Conrad Stansbury, Alessandra Lanzara
Monday, March 15, 2021 5:00PM - 5:12PM Live		C21.00009: INVESTIGATING BAND GAP DIRECTNESS USING MACHINE LEARNING Elton Ogoshi de Melo, Mário Popolin Neto, Carlos Mera Acosta, Gabriel M. Nascimento, João Rodrigues, Osvaldo N. Oliveira Jr., Fernando V. Paulovich, Gustavo M. Dalpian
Monday, March 15, 2021 5:12PM - 5:24PM On Demand		C21.00010: Unsupervised machine learning of quantum phase transitions using diffusion maps Alex Lidiak

About APS

The American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics.

Headquarters 1 Physics Ellipse, College Park, MD 20740-3844 (301) 209-3200
Editorial Office 100 Motor Pkwy, Suite 110, Hauppauge, NY 11788 (631) 591-4000
Office of Public Affairs 529 14th St NW, Suite 1050, Washington, D.C. 20045-2001 (202) 662-8700

Bulletin of the American Physical Society

APS March Meeting 2021

Volume 66, Number 1

Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA

Session Index

Session C21: Machine Learning for Quantum Matter III

Follow Us

Engage

My APS

Information for

About APS