2022 Annual Meeting

Session: Machine Learning for Soft Materials II

Chair

Co-Chairs

Lai, P. K., Stevens Institute of Technology

Presentations

03:35 PM

(656a) A New Computational-Experimental Screening Methodology Identifies More Effective Solvents for CO2 Capture

03:50 PM

(656b) Characterization of Chemoresponsive Liquid Crystals Using Topological Descriptors and Machine Learning

04:05 PM

(656c) Physics-Informed Deep Neural Networks for Predicting Fluid Flow in Complex Porous Materials

04:30 PM

(656d) Simulation of Neutron Dark Field Interferometry Data in Hierarchical Materials Using Small Angle Scattering Models

04:45 PM

(656e) Developing an ML Algorithm to Predict the Aqueous Solubility of Polymers and Organic Compounds

05:25 PM

(656g) Machine Learning for the Discovery of Molecular Recognition Based on Single-Walled Carbon Nanotube Corona-Phases

05:40 PM

(656h) Accelerated Discovery of Novel Ionic Liquid Cations Using a Continuous Latent Space Representation of Chemical Space

05:55 PM

(656i) Context-Aware Representations from Deep Learning for Antibody Design