LabCompass

Brenden W. Hamilton

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1970
Energetic Materials and CombustionHigh-pressure geophysics and materialsMachine Learning in Materials ScienceHigh-Velocity Impact and Material BehaviorForce Microscopy Techniques and Applications

Publications

72

Citations

739

Est. group size

~2

Recurring co-author estimate

Active years

57

Publishing since 1970

Research summary
AI-generated

Brenden W. Hamilton studies how materials behave under extreme conditions such as shock waves, high pressure, and rapid heating, using computer simulations at the atomic scale. Much of the work focuses on energetic materials (explosives like RDX and HMX), metals, and other solids, examining phenomena like pore collapse, phase transitions, and plasticity. Recent projects also develop machine-learning tools, including interatomic potentials and neural networks, to improve the accuracy and efficiency of these simulations.

Shock physics and energetic materialsAtomistic and molecular dynamics simulationMachine learning for materials modelingHigh-pressure phase transitionsMechanochemistry and material defects

Publication output grew notably from 2017 to a peak around 2021-2023, then declined in 2024 before picking back up in 2025-2026, suggesting an overall active but somewhat variable recent cadence.

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

Publication cadence
Publications per year over the last 10 years — averaging 9.0/year recently
2017: 2 publications172018: 1 publication182019: 1 publication192020: 6 publications202021: 13 publications212022: 14 publications222023: 16 publications16232024: 3 publications242025: 7 publications252026: 5 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×16
  • Bulletin of the American Physical Society×9
  • The Journal of Physical Chemistry C×8
  • Journal of Applied Physics×7
  • Physical Review Materials×4
Similar researchers
By research-topic overlap

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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