LabCompass

Ria D. Corder

Chemical Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2018Rising activity
Rheology and Fluid Dynamics StudiesBiofuel production and bioconversionPolymer crystallization and propertiesAdvanced Polymer Synthesis and CharacterizationPolymer Nanocomposites and Properties

Publications

24

Citations

442

Est. group size

~7

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Ria D. Corder's research focuses on rheology, the study of how materials flow and deform, applied to a wide range of complex substances including polymer blends, suspensions, gels, biomaterials, and tumor tissue. Work spans practical applications such as 3D-printable ceramics, battery electrode binders, drug-delivery gels, and biobased polymer composites, often connecting how a material's microstructure relates to its mechanical or processing behavior. The lab appears to combine fundamental measurements of flow properties with applied material design problems across engineering and biomedical contexts.

Rheology of complex fluids and suspensionsPolymer composites and biobased materialsGels and photopolymerizationBiomaterials and tissue mechanicsSuspension and particle-laden fluid dynamics

Publication output has grown from a low base around 2018 to a peak of about 5 papers per year in 2023-2024, suggesting an increasing and now fairly steady pace of output over the past decade.

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
172018: 1 publication182019: 2 publications192020: 3 publications202021: 2 publications212022: 2 publications222023: 5 publications5232024: 5 publications5242025: 3 publications252026: 1 publication26
Recent publications
Publishes in
  • Soft Matter×4
  • ACS Applied Polymer Materials×3
  • ACS Nano×1
  • ACS Applied Materials & Interfaces×1
  • Journal of Rheology×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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