265 citations · 443 across the 6 of their papers we have counts for
6 papers
Polymers for Extreme Conditions Designed Using Syntax-Directed Variational Autoencoders
Rohit Batra, Hanjun Dai, Tran Doan Huan +5
The design/discovery of new materials is highly non-trivial owing to the near-infinite possibilities of material candidates, and multiple required property/performance objectives.…
Polymer Informatics: Current Status and Critical Next Steps
Lihua Chen, Ghanshyam Pilania, Rohit Batra +4
Artificial intelligence (AI) based approaches are beginning to impact several domains of human life, science and technology. Polymer informatics is one such domain where AI and mac…
Polymer Informatics with Multi-Task Learning
Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran +3
Modern data-driven tools are transforming application-specific polymer development cycles. Surrogate models that can be trained to predict the properties of new polymers are becomi…
Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures
Manav Ramprasad, Chiho Kim
The success of the Materials Genome Initiative has led to opportunities for data-driven approaches for materials discovery. The recent development of Polymer Genome (PG), which is…
Machine Learning Models for the Lattice Thermal Conductivity Prediction of Inorganic Materials
Lihua Chen, Huan Tran, Rohit Batra +2
The lattice thermal conductivity () is a critical property of thermoelectrics, thermal barrier coating materials and semiconductors. While accurate empirical measuremen…
Machine Learning and Materials Informatics: Recent Applications and Prospects
Rampi Ramprasad, Rohit Batra, Ghanshyam Pilania +2
Propelled partly by the Materials Genome Initiative, and partly by the algorithmic developments and the resounding successes of data-driven efforts in other domains, informatics st…