LabCompass

Publications

21

Citations

300

Est. group size

Recurring co-author estimate

Active years

8

Publishing since 2018

Research summary
AI-generated

Sibali Debnath studies the chemistry of lithium-ion battery materials using computational methods, including quantum chemical calculations and machine learning models that predict how atoms and molecules behave. Recent work focuses on how lithium ions cluster in battery electrolytes and on the chemical reactions that cause electrolyte breakdown. The research combines detailed electronic-structure modeling with scalable computer simulation techniques.

Computational modeling of battery electrolytesQuantum chemistry and electronic-structure methodsMachine learning force fields for materialsLithium-ion clustering and electrolyte decompositionChemical synthesis and analysis

Publication activity has been intermittent over the past decade, averaging about 2.4 papers per year over the last five years with a recent uptick in 2023 and 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
172018: 5 publications5182019: 2 publications192020: 2 publications20212022: 1 publication222023: 5 publications5232024: 2 publications242025: 4 publications2526
Publishes in
  • The Journal of Physical Chemistry A×4
  • ChemRxiv×4
  • Journal of the American Chemical Society×2
  • Journal of Chemical Theory and Computation×2
  • The Journal of Physical Chemistry C×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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