LabCompass

Eric M. Collins

Computer Science · Indiana University

OpenAlex ORCID
Computational Drug Discovery MethodsMachine Learning in Materials ScienceCrystallization and Solubility StudiesX-ray Diffraction in CrystallographyRare-earth and actinide compounds

Publications

33

Citations

325

Est. group size

—

Recurring co-author estimate

Active years

28

Publishing since 1998

Research summary
AI-generated

Eric M. Collins works at the intersection of computational chemistry and materials science, using computer simulations and machine learning to help design chemical mixtures and formulations. Earlier work involved experimental chemistry, including synthesizing molecules and determining their crystal structures through X-ray diffraction. Recent projects apply high-throughput simulation and data-driven methods to problems like formulation design and display materials (OLEDs).

Machine learning for chemical and materials designHigh-throughput molecular simulationFormulation and chemical mixture designCrystal structure determinationSynthetic and coordination chemistry

Publication activity has been irregular over the past decade, with a peak in 2018, a quiet middle period, and renewed output in 2023-2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.2/year recently
2017: 2 publications172018: 8 publications818192020: 2 publications202021: 1 publication21222023: 3 publications232024: 6 publications242025: 2 publications2526
Recent publications
Publishes in
  • The Cambridge Structural Database×7
  • Journal of Chemical Theory and Computation×4
  • ChemRxiv×4
  • The Journal of Physical Chemistry A×3
  • npj Computational Materials×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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