LabCompass

Thomas A. Manz

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1988
X-ray Diffraction in CrystallographyMachine Learning in Materials ScienceAdvanced Chemical Physics StudiesMetal-Organic Frameworks: Synthesis and ApplicationsCrystallography and molecular interactions

Publications

93

Citations

4,053

Est. group size

~2

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Thomas A. Manz works on computational methods for understanding materials at the atomic and molecular level, including how to assign electrical charges to atoms in molecules and materials, and how to build accurate computer models (forcefields) that simulate how atoms interact. His research also covers practical applications like metal-organic frameworks (porous materials used for gas storage and separation), catalysts for chemical reactions, and porous metals, often combining quantum chemistry calculations with methods from machine learning and statistics.

Computational quantum chemistry and atomic charge assignment methodsForcefield development for molecular simulationMetal-organic frameworks (MOFs) and porous materialsCatalysis (e.g., Raney nickel catalysts) and adsorptionMachine learning applications in materials modeling

Publication output has fluctuated over the past decade, dipping to a low around 2021-2023 before increasing again in 2025-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.2/year recently
2017: 3 publications172018: 6 publications6182019: 4 publications192020: 2 publications202021: 1 publication212022: 3 publications222023: 1 publication232024: 2 publications242025: 4 publications252026: 6 publications626
Recent publications
Publishes in
  • RSC Advances×19
  • ACS Omega×5
  • ChemRxiv×5
  • Bulletin of the American Physical Society×3
  • arXiv (Cornell University)×2
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.

Claim or correct this profile