Machine Learning and Data in Polymer Physics
INVITED · B01 · ID: 381951
Presentations
-
Recent Advances on AI for Polymer Design
Invited
–
Presenters
-
Juan De Pablo
- University of Chicago
- Molecular Engineering, University of Chicago
- Institute for Molecular Engineering, University of Chicago
- The Pritzker School of Molecular Engineering, University of Chicago
Authors
-
Juan De Pablo
- University of Chicago
- Molecular Engineering, University of Chicago
- Institute for Molecular Engineering, University of Chicago
- The Pritzker School of Molecular Engineering, University of Chicago
-
-
DATA CENTRIC NANOCOMPOSITES DESIGN VIA MIXED-VARIABLE BAYESIAN OPTIMIZATION
Invited
–
Presenters
-
Wei Chen
- Northwestern University
Authors
-
Wei Chen
- Northwestern University
-
-
Optimization of organic molecules and macromolecules using machine learning
Invited
–
Presenters
-
Yaroslava Yingling
- North Carolina State University
Authors
-
Yaroslava Yingling
- North Carolina State University
-
-
Molecular Simulations Integrated Machine Learning Study of Bottlebrush Polymers
Invited
–
Presenters
-
Sanket Deshmukh
- Virginia Tech
Authors
-
Soumil Joshi
- Virginia Tech
-
Sanket Deshmukh
- Virginia Tech
-
-
Polymer Informatics: Current Status & Critical Next Steps
Invited
–
Presenters
-
Rampi Ramprasad
- Georgia Inst of Tech
- Georgia Tech
- Georgia Institute of Technology
- School of Materials Science and Engineering, Georgia Institute of Technology
Authors
-
Rampi Ramprasad
- Georgia Inst of Tech
- Georgia Tech
- Georgia Institute of Technology
- School of Materials Science and Engineering, Georgia Institute of Technology
-