Follow
Rohit Batra
Title
Cited by
Cited by
Year
Machine learning in materials informatics: recent applications and prospects
R Ramprasad, R Batra, G Pilania, A Mannodi-Kanakkithodi, C Kim
npj Computational Materials 3 (1), 54, 2017
11252017
Machine learning force fields: construction, validation, and outlook
V Botu, R Batra, J Chapman, R Ramprasad
The Journal of Physical Chemistry C 121 (1), 511-522, 2017
4872017
Physically informed artificial neural networks for atomistic modeling of materials
GPP Pun, R Batra, R Ramprasad, Y Mishin
Nature communications 10 (1), 2339, 2019
2502019
Solving the electronic structure problem with machine learning
A Chandrasekaran, D Kamal, R Batra, C Kim, L Chen, R Ramprasad
npj Computational Materials 5 (1), 22, 2019
2372019
A universal strategy for the creation of machine learning-based atomistic force fields
TD Huan, R Batra, J Chapman, S Krishnan, L Chen, R Ramprasad
NPJ Computational Materials 3 (1), 37, 2017
2212017
Factors favoring ferroelectricity in hafnia: a first-principles computational study
R Batra, TD Huan, JL Jones, G Rossetti Jr, R Ramprasad
The Journal of Physical Chemistry C 121 (8), 4139-4145, 2017
1862017
Emerging materials intelligence ecosystems propelled by machine learning
R Batra, L Song, R Ramprasad
Nature Reviews Materials 6 (8), 655-678, 2021
1812021
Dopants promoting ferroelectricity in hafnia: Insights from a comprehensive chemical space exploration
R Batra, TD Huan, GA Rossetti Jr, R Ramprasad
Chemistry of Materials 29 (21), 9102-9109, 2017
1632017
Polymer informatics: Current status and critical next steps
L Chen, G Pilania, R Batra, TD Huan, C Kim, C Kuenneth, R Ramprasad
Materials Science and Engineering: R: Reports 144, 100595, 2021
1542021
Machine-learning predictions of polymer properties with Polymer Genome
H Doan Tran, C Kim, L Chen, A Chandrasekaran, R Batra, S Venkatram, ...
Journal of Applied Physics 128 (17), 2020
1382020
Polymer design using genetic algorithm and machine learning
C Kim, R Batra, L Chen, H Tran, R Ramprasad
Computational Materials Science 186, 110067, 2021
1372021
Stabilization of metastable phases in hafnia owing to surface energy effects
R Batra, HD Tran, R Ramprasad
Applied Physics Letters 108 (17), 2016
1342016
Machine learning models for the lattice thermal conductivity prediction of inorganic materials
L Chen, H Tran, R Batra, C Kim, R Ramprasad
Computational Materials Science 170, 109155, 2019
992019
Electrochemical stability window of polymeric electrolytes
L Chen, S Venkatram, C Kim, R Batra, A Chandrasekaran, R Ramprasad
Chemistry of Materials 31 (12), 4598-4604, 2019
972019
Prediction of water stability of metal–organic frameworks using machine learning
R Batra, C Chen, TG Evans, KS Walton, R Ramprasad
Nature Machine Intelligence 2 (11), 704-710, 2020
962020
Screening of therapeutic agents for COVID-19 using machine learning and ensemble docking studies
R Batra, H Chan, G Kamath, R Ramprasad, MJ Cherukara, ...
The journal of physical chemistry letters 11 (17), 7058-7065, 2020
812020
Frequency-dependent dielectric constant prediction of polymers using machine learning
L Chen, C Kim, R Batra, JP Lightstone, C Wu, Z Li, AA Deshmukh, ...
npj Computational Materials 6 (1), 61, 2020
682020
A multi-fidelity information-fusion approach to machine learn and predict polymer bandgap
A Patra, R Batra, A Chandrasekaran, C Kim, TD Huan, R Ramprasad
Computational Materials Science 172, 109286, 2020
612020
Multifidelity information fusion with machine learning: A case study of dopant formation energies in hafnia
R Batra, G Pilania, BP Uberuaga, R Ramprasad
ACS applied materials & interfaces 11 (28), 24906-24918, 2019
592019
Polymers for extreme conditions designed using syntax-directed variational autoencoders
R Batra, H Dai, TD Huan, L Chen, C Kim, WR Gutekunst, L Song, ...
Chemistry of Materials 32 (24), 10489-10500, 2020
512020
The system can't perform the operation now. Try again later.
Articles 1–20