LabCompass

Antonello Raponi

Materials Science · Purdue University West Lafayette

Early career · publishing since 2021Rising activity

Publications

30

Citations

203

Est. group size

~1

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Antonello Raponi works on modeling and simulation of industrial crystallization and precipitation processes, particularly the formation of magnesium hydroxide particles. His research combines computational fluid dynamics (CFD), population balance models (mathematical tools for tracking particle size and shape distributions), and deep learning to predict and control particle size, shape, and manufacturing scale-up of chemical reactors.

Crystallization and precipitation modelingComputational fluid dynamics (CFD) simulationPopulation balance modeling for particle formationMachine learning/deep learning for process optimizationReactor design and scale-up

Publication output was minimal before 2021 but has grown substantially since 2022, with a peak in 2023 and another surge of publications projected for 2026, indicating an increasingly active recent research output.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.8/year recently
171819202021: 1 publication212022: 4 publications222023: 10 publications10232024: 3 publications242025: 3 publications252026: 9 publications26
Recent publications
Publishes in
  • SSRN Electronic Journal×7
  • Zenodo (CERN European Organization for Nuclear Research)×6
  • Chemical Engineering Journal×4
  • Crystal Growth & Design×2
  • Powder Technology×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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