LabCompass

Brett M. Savoie

Materials Science · Purdue University West Lafayette

Mid career · publishing since 2012Rising activity

Publications

265

Citations

6,444

Est. group size

~44

Recurring co-author estimate

Active years

15

Publishing since 2012

Research summary
AI-generated

Brett M. Savoie's research uses computational chemistry and machine learning to understand and predict chemical reactivity, with applications spanning battery electrolytes, polymer recycling, organic electronics, and prebiotic chemistry. A major focus is developing automated tools and algorithms (such as reaction network exploration, machine-learned interatomic potentials, and self-driving laboratory workflows) to systematically map out chemical reaction spaces and predict molecular behavior faster than traditional trial-and-error methods. This work bridges materials discovery, physical chemistry, and artificial intelligence.

Machine learning for chemical reactivity predictionBattery electrolyte degradation and designPolymer chemistry and recyclabilityComputational reaction network explorationOrganic electronics and molecular simulation

Publication output has grown substantially over the past decade, rising from single digits annually before 2020 to a peak of over 70 in 2023, and has remained at an elevated, though somewhat variable, level of 18-32 papers per year since.

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

Publication cadence
Publications per year over the last 10 years — averaging 32.0/year recently
2017: 7 publications172018: 8 publications182019: 7 publications192020: 13 publications202021: 32 publications212022: 25 publications222023: 72 publications72232024: 21 publications242025: 24 publications252026: 18 publications26
Recent publications
Publishes in
  • ChemRxiv×41
  • The Cambridge Structural Database×39
  • Figshare×15
  • Bulletin of the American Physical Society×13
  • Journal of the American Chemical Society×8
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