LabCompass

Vikram Jadhao

Chemistry · Indiana University

OpenAlex ORCID
Electrostatics and Colloid InteractionsMachine Learning in Materials ScienceRheology and Fluid Dynamics StudiesSpectroscopy and Quantum Chemical StudiesBacteriophages and microbial interactions

Publications

85

Citations

764

Est. group size

—

Recurring co-author estimate

Active years

52

Publishing since 1975

Research summary
AI-generated

Vikram Jadhao's research uses computer simulations to understand how soft materials, charged nanoparticles, and biological structures behave. A major focus is developing machine learning tools that speed up molecular dynamics simulations (which model how atoms and molecules move over time), along with studies of fluid flow (rheology), electrostatics, and self-assembling protein/viral structures.

Molecular dynamics simulations of soft materialsMachine learning surrogates for scientific computingCharged and deformable nanoparticle designRheology and lubrication of liquidsElectrostatics and self-assembly of biological structures

Publication activity peaked around 2019-2020 and has since settled to a steadier, lower pace of roughly three to five papers per year.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 4 publications172018: 3 publications182019: 17 publications17192020: 11 publications202021: 5 publications212022: 3 publications222023: 5 publications232024: 4 publications242025: 5 publications252026: 1 publication26
Recent publications
Publishes in
  • Bulletin of the American Physical Society×13
  • arXiv (Cornell University)×13
  • Tribology Letters×3
  • Proceedings of the National Academy of Sciences×2
  • Energy and AI×1

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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