LabCompass

Veerupaksh Singla

Materials Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2020Rising activity
Machine Learning in Materials ScienceComputational Drug Discovery MethodsPolymer crystallization and propertiesAdvanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Publications

21

Citations

68

Est. group size

~3

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Veerupaksh Singla works at the intersection of materials science and machine learning, focusing on computational methods for polymer chemistry and drug discovery. Recent work includes using small-molecule reaction kinetics to predict polymer stability and building benchmarking datasets for graphical models of chemical reactions, suggesting an emphasis on computational tools that support materials and chemical design.

Machine learning for materials discoveryComputational drug discoveryPolymer chemistry and stabilityReaction modeling and benchmarking datasetsProteomics and mass spectrometry methods

Publication output was minimal or absent for much of the last decade but has grown notably since 2023, with the highest activity in the most recent two years.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
1718192020: 3 publications2021222023: 1 publication232024: 3 publications242025: 6 publications252026: 8 publications826
Recent publications
Publishes in
  • ChemRxiv×10
  • Figshare×3
  • Journal of the American Society for Mass Spectrometry×1
  • Faraday Discussions×1
  • Digital Discovery×1
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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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