Jim Pfaendtner
Papers
1
Total Citations
4
H-Index
1
About
Jim Pfaendtner is a leading computational chemist whose research bridges molecular simulation, materials science, and bioengineering. His work focuses on understanding and controlling the interactions between peptides and inorganic surfaces, with major contributions to the design of anisotropic nanomaterials. Notably, his 2023 study on "Anisotropic Gold Nanomaterial Synthesis Using Peptide Facet Specificity and Timed Intervention" demonstrated how peptides can selectively bind to specific crystal facets to guide the growth of two-dimensional gold nanostructures—a breakthrough for reproducible synthesis of shape-controlled nanoparticles. While this paper has garnered 4 citations to date, Pfaendtner’s broader impact is reflected in his extensive body of work on peptide-surface recognition, molecular dynamics simulations, and machine learning-driven materials discovery, which has accumulated thousands of citations across his career. He is also recognized for advancing open-source simulation tools and mentoring the next generation of computational scientists. His research not only deepens fundamental understanding of biomolecule–material interfaces but also paves the way for applications in sensing, catalysis, and nanomedicine.
Research Focus
Key Achievements
Top Papers
- 1