265 citations · 314 across the 6 of their papers we have counts for
4 papers · 1 filter
Learning with Delayed Rewards -- A case study on inverse defect design in 2D materials
Suvo Banik, Troy D Loeffler, Rohit Batra +3
Defect dynamics in materials are of central importance to a broad range of technologies from catalysis to energy storage systems to microelectronics. Material functionality depends…
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…
Dopants Promoting Ferroelectricity in Hafnia: Insights From A Comprehensive Chemical Space Exploration
Rohit Batra, Tran Doan Huan, George A. Rossetti +1
Although dopants have been extensively employed to promote ferroelectricity in hafnia films, their role in stabilizing the responsible ferroelectric non-equilibrium Pca21 phase is…