Timothy C. Ricard
Physics and Astronomy · Indiana University
Publications
17
Citations
142
Est. group size
—
Recurring co-author estimate
Active years
9
Publishing since 2018
Timothy C. Ricard uses computational chemistry methods such as density functional theory and molecular dynamics simulations to study how molecules interact with porous materials. Much of the recent work focuses on how covalent organic frameworks, graphene, and clay surfaces can capture per- and polyfluoroalkyl substances (PFAS, often called 'forever chemicals') and other gases, which has relevance for pollution cleanup and material design.
Publication activity has been modest but growing in recent years, rising to five publications in 2025 after a period of one to three per year.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Adsorption of Isolated and Hydrated Linear Per‐ and Polyfluoroalkyl Substances on Clay Surfaces: A Periodic Density Functional Theory Study
ChemPhysChem · 2026
- Regeneration of covalent organic framework CTF-1 after adsorption of PFAS: Molecular dynamics study
Surfaces and Interfaces · 2026
- Pore size effects upon adsorption of PFAS in covalent organic frameworks: molecular dynamics study
Environmental Science Advances · 2025
- Impacts of pore size in binding dynamics of per- and polyfluoroalkyl substances (PFAS) on modified graphene materials
Environmental Science Advances · 2025
- Author response for "Pore size effects upon adsorption of PFAS in covalent organic frameworks: molecular dynamics study"
2025
- Author response for "Impacts of Pore Size in Binding Dynamics of Per-and Polyfluoroalkyl Substances (PFAS) on Modified Graphene Materials"
2025
- Competitive Adsorption of Exhaust Gases in the Covalent Organic Framework DAAQ-TFP from Molecular Modeling
Langmuir · 2025
- Journal of Chemical Theory and Computation×6
- Environmental Science Advances×2
- The Journal of Physical Chemistry A×2
- International Journal of Quantum Chemistry×1
- Elsevier eBooks×1
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 11, 2026.
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