NARENDRA KUMAR (Faculty)

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NARENDRA KUMAR

Lecturer, Physics,
Department of Basic Science

9019821276   |   [email protected]



Qualifications
[2018-23] Ph.D. at Theoretical Sciences Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bengaluru, India
Thesis title: Machine-Learning and First-Principles Modelling: From Dielectric Breakdown in Solids to Mechanical Behavior of High-Entropy Alloys (Thesis submitted)
[2015-18] M.S. (Materials Science) at Chemistry and Physics of Materials Unit, Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bengaluru, India
Thesis title: Machine Learning and Dimensional Analysis Assisted Predictive Models
[2012-15] B.Sc. (Physics Hons.) at Patna Science College, Patna University
Subject Expertise
Machine Learning, High-Entropy Alloys, DFT/MD/MC simulations
Area Of Research
Computational Materials Science
List Of Publications
(1) Narendra Kumar, Padmini Rajagopalan, Praveen Pankajakshan, Arnab Bhattacharyya, Suchismita Sanyal, Janakiraman Balachandran*, and Umesh V. Waghmare*. Machine Learning Constrained with Dimensional Analysis and Scaling Laws: Simple, Transferable, and Interpretable Models of Materials from Small Datasets. Chemistry of Materials 31, 314-321 (2019).
(2) Narendra Kumar* and Umesh V. Waghmare. Entropic stabilization and descriptors of structural transformation in high entropy alloys. Acta Materialia 255, 119077 (2023).
(3) Soumya Sanyal, Arun Kumar Sagotra, Narendra Kumar, Sharad Rathi, Mohana Krishna, Nagesh Somayajula, Duraivelan Palanisamy, Ram R Ratnakar, Suchismita Sanyal, Partha Talukdar, Umesh Waghmare, Janakiraman Balachandran. Potential energy surface prediction of Alumina polymorphs using graph neural network. arXiv preprint arXiv:2301.12059 (2023).
Awards and Honors
CSIR-NET-JRF - Physical sciences (Dec 2015 & Jun 2016)
JEST 2015 (Physics): AIR 62
IIT-JAM 2015 (Physics): AIR 267
GATE 2019 (Physics)
Best poster award at 14th JNCASR Research Conference on Chemistry of Materials-2018 held in Trivandrum, India.
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