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Bio
Research interest is in the following areas:
Machine learning to bridge the electronic, atomistic and mesoscopic scales
Integrate atomistic (and continuum) simulations with ultrafast X-ray imaging
Inverse design for materials discovery and machine learning to predict metastable phase diagrams
Applications of interest include tribology, corrosion, neuromorphic computing, energy storage and thermal management
Machine learning to bridge the electronic, atomistic and mesoscopic scales
Integrate atomistic (and continuum) simulations with ultrafast X-ray imaging
Inverse design for materials discovery and machine learning to predict metastable phase diagrams
Applications of interest include tribology, corrosion, neuromorphic computing, energy storage and thermal management
Research Interests
Papers共 359 篇Author StatisticsCo-AuthorSimilar Experts
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arxiv(2024)
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APL Machine Learningno. 1 (2024): 019901-019901-1
Rukmava Chatterjee, Rajith Unnikrishnan Thanjukutty, Christopher Carducci,Arnab Neogi, Suman Chakraborty, Vijay Prithiv Bathey Ramesh Bapu,Suvo Banik,Subramanian K. R. S. Sankaranarayanan,Sushant Anand
Sampath Gamage,Sukriti Manna,Marc Zajac, Steven Hancock,Qi Wang,Sarabpreet Singh,Mahdi Ghafariasl, Kun Yao,Tom E. Tiwald,Tae Joon Park,David P. Landau,Haidan Wen,
ACS NANOno. 3 (2024): 2105-2116
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