LabCompass

Saswat Mishra

Engineering · Purdue University West Lafayette

Established · publishing since 1977Rising activity

Publications

28

Citations

374

Est. group size

~6

Recurring co-author estimate

Active years

49

Publishing since 1977

Research summary
AI-generated

Saswat Mishra works on computational and data-driven materials science, using density functional theory (DFT) simulations, molecular dynamics, and machine learning to study metal alloys and other materials under extreme conditions such as high pressure and high strain rates. Their work spans predicting new material phases, designing high-strength alloys, and understanding phenomena like martensitic phase transformations and oxidation behavior in metals.

Computational materials discovery (DFT, machine learning)High-entropy and complex concentrated alloysHigh-pressure and high-strain-rate material behaviorMolecular dynamics simulations of phase transformationsMaterials data sharing and databases (FAIR data)

Publication output was minimal or absent from 2017-2020 but increased noticeably starting in 2021, peaking in 2023, and has remained steady through 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
171819202021: 2 publications212022: 1 publication222023: 6 publications6232024: 4 publications242025: 3 publications2526
Recent publications
Publishes in
  • Journal of Applied Physics×6
  • Computational Materials Science×2
  • SSRN Electronic Journal×2
  • arXiv (Cornell University)×2
  • npj Computational Materials×1
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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 20, 2026.

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