Machine Learning in Chemical and Materials Sciences 2024

May 20-23, 2024 | Virtual Conference
March 31, 2024   | Registration Deadline

Summary

We invite you to contribute to the Machine Learning in Chemical and Materials Sciences 2024, a great opportunity to showcase your ML research and connect with the renowned experts of the field.

The integration of Machine Learning (ML) techniques into chemistry and materials science has brought about transformative advancements, boosting the pace and precision of predictions. Notable breakthroughs encompass property predictions for materials, the reverse and forward engineering of tailor-made molecules, the creation of transferable interatomic potentials, the formulation of differentiable physics models, intelligent exploration of chemical space, and the rationalization of experimental observations, to name just a few success stories.

Topics

• ML Methods for Exploring Non-Equilibrium Processes
• Best Practices in Data Collection
• Meta-Learning Models and Heterogeneous Data Sources
• Development of Differentiable Physics Models
• ML-Assisted Material Design and Search

Registration

This is a virtual only event with free ($0) registration. Please, use the link to register. If you have any questions, please contact:

Nikita Fedik nfedik@lanl.gov
Vidushi Sharma vidushi@lanl.gov

Organizers:

Nikita Fedik LANL T-1/CNLS
Vidushi Sharma LANL T-1/CNLS


Organizing Committee:

Ben Nebgen LANL T-1
Kipton Barros LANL T-1
Ying Wai Li LANL CCS-7
Ping Yang LANL T-1
Enrique Batista LANL CNLS
Nicholas Lubbers LANL CCS-3
Danny Perez LANL T-1
Sergei Tretiak LANL T-1/CINT


Sponsor
Center for Non-Linear Studies (CNLS)