Nikhil Kumar
Sandia National Laboratories California, Lawrence Berkeley National Laboratory, Indian Institute of Information Technology Guwahati
0000-0002-0490-4600
About
Nikhil Kumar is currently working as affiliated postdoctoral researcher in the Biosciences Division of Lawrence Berkeley National Lab. Dr Kumar is a postdoctoral research associate in the Department of Biosecurity and Biodefence department at Sandia National Laboratories, California. Dr. Kumar received his Ph.D. in 2023 from the Department of Chemical Engineering at the Indian Institute of Technology Guwahati, India. Dr. Kumar's research area is primarily focused on the development of novel green solvents for lignocellulosic biomass, plastic upcycling, and carbon capture using theoretical and computational chemistry calculations (molecular dynamics, quantum chemical, and COSMO-RS model simulations). Dr. Kumar's research interest also covers leveraging both machine learning and first-principles physics-based methods to make improved predictions for biomass conversion, plastic depolymerization, carbon capture (CO2), and thermodynamic property predictions using various ML algorithms.
Employment
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Sandia National Laboratories California Postdoc2023 - Present
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Lawrence Berkeley National Laboratory Postdoctoral Researcher2023 - Present
Education
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Indian Institute of Information Technology Guwahati Ph.D2017 - 2024
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Functionalized benzylamines from commercial kraft lignin Save
- Multi-scale computational screening and mechanistic insights of cyclic amines as solvents for improved lignocellulosic biomass processing Save
- Dispersion Stability Mechanism of Asphaltene in Deep Eutectic Solvents through Multiresolution Simulation Approaches Save
- Computational Advances in Ionic Liquid Applications for Green Chemistry: A Critical Review of Lignin Processing and Machine Learning Approaches Save
- Computational Advances in Ionic Liquid Applications for Green Chemistry: A Critical Review of Lignin Processing and Machine Learning Approaches Save
- Inhibition of asphaltene aggregation using deep eutectic solvents: COSMO-RS calculations and experimental validation Save
- Deep Eutectic Solvents in Liquid–Liquid Extraction Save
- Effect of cosolvent on the solubility of glucose in ionic liquids: Experimental and molecular dynamics simulations Save
- Molecular Dynamic Insights into the Distinct Solvation Structures of Aromatic and Aliphatic Compounds in Monoethanolamine-Based Deep Eutectic Solvents Save
- Molecular Mechanism and Solubility Performance Evaluation for Separation of Benzothiophene and Model Diesel Compounds through Deep Eutectic Solvents as Extractants Save