LabCompass

Alejandro Strachan

Engineering · Purdue University West Lafayette

Established · publishing since 1996

Publications

442

Citations

10,397

Est. group size

~23

Recurring co-author estimate

Active years

31

Publishing since 1996

Research summary
AI-generated

Alejandro Strachan's research uses computational modeling and simulation, including molecular dynamics and machine learning, to understand and predict how materials behave under extreme conditions such as shock waves, high pressure, and impact. His work spans energetic materials (explosives), 2D materials, polymers, and metals, with an emphasis on building predictive computational tools that connect atomic-scale physics to real-world material performance. This research is relevant to students interested in materials engineering, computational physics, and applying machine learning to physical sciences.

Computational and molecular dynamics simulation of materialsMachine learning for materials property predictionShock physics and energetic materialsMechanical behavior of materials under extreme conditionsMultiscale and multi-fidelity modeling

Publication output has fluctuated over the last decade with a peak in 2017, a dip in 2018, and generally steady activity averaging about 22 papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 22.0/year recently
2017: 36 publications36172018: 11 publications182019: 19 publications192020: 23 publications202021: 30 publications212022: 27 publications222023: 33 publications232024: 17 publications242025: 23 publications252026: 10 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×46
  • Journal of Applied Physics×26
  • Bulletin of the American Physical Society×18
  • The Journal of Physical Chemistry C×15
  • HubZero×10
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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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