Machine Learning Models for the Lattice Thermal Conductivity Prediction of Inorganic Materials

Lihua Chen, Huan Tran, Rohit Batra +2

The paper presents a machine‑learning model, based on Gaussian process regression and advanced feature engineering, that can instantly predict the lattice thermal conductivity of i…

Machine Learning and Materials Informatics: Recent Applications and Prospects

Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania +2

Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures

Manav Ramprasad, Chiho Kim

The paper evaluates the accuracy of existing machine‑learning models for predicting polymer glass transition temperatures, expands the training set with 871 new polymers, and build…