LabCompass

Robert J. Appleton

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2020Rising activity
Machine Learning in Materials ScienceComputational Drug Discovery MethodsHigh-pressure geophysics and materialsEnergetic Materials and CombustionThermal and Kinetic Analysis

Publications

25

Citations

68

Est. group size

~2

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Robert J. Appleton works in materials science, combining computational modeling and machine learning to study material properties. His work spans first-principles (ab-initio) simulations of oxide materials and interfaces, as well as machine learning tools for exploring material and molecular property spaces, including applications to drug discovery and molecular sustainability. Recent projects include software and modeling tools for casting/melting processes and property prediction.

Machine learning for materials discoveryComputational modeling of oxide materials and heterostructuresFirst-principles (ab-initio) simulationsMolecular property prediction and drug discovery methodsThermal and high-temperature materials properties

Publication output was minimal or absent in the earlier part of the decade but has grown substantially in recent years, with the highest counts appearing in 2024-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
1718192020: 1 publication20212022: 3 publications222023: 3 publications232024: 5 publications242025: 4 publications252026: 9 publications926
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • npj Computational Materials×2
  • Computational Materials Science×2
  • Zenodo (CERN European Organization for Nuclear Research)×2
  • Open MIND×2
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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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