LabCompass

Pablo Zavattieri

Materials Science · Purdue University West Lafayette

Established · publishing since 1996

Publications

193

Citations

14,339

Est. group size

~6

Recurring co-author estimate

Active years

30

Publishing since 1996

Research summary
AI-generated

Pablo Zavattieri studies how the structural design of natural materials—like mollusk teeth, beetle shells, and insect antennae—gives them strength, toughness, and resistance to wear, and uses these insights to design new engineered materials and 3D-printed structures. His work combines mechanics, materials characterization, and computational modeling (including machine learning) to understand and replicate these bio-inspired architectures. This research spans topics such as composite materials, additive manufacturing, and cement/concrete science.

Bio-inspired and biological materialsMechanics of composites and architected materialsAdditive manufacturing (3D printing) of structural materialsFracture, toughness, and damage-resistant designComputational and machine-learning-aided materials design

Publication output was fairly steady to high from 2017-2019, declined through 2022-2023, then rebounded sharply in 2024 before dropping again in 2025, suggesting a somewhat variable but recently active publication pattern.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.4/year recently
2017: 13 publications172018: 19 publications19182019: 18 publications192020: 11 publications202021: 11 publications212022: 7 publications222023: 2 publications232024: 13 publications242025: 5 publications2526
Recent publications
Publishes in
  • Advanced Functional Materials×9
  • Advanced Materials×6
  • Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials×6
  • Journal of the Mechanics and Physics of Solids×6
  • Purdue e-Pubs (Purdue University System)×5
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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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