Zih‐Yu Lin
Engineering · Purdue University West Lafayette
Publications
18
Citations
546
Est. group size
~7
Recurring co-author estimate
Active years
20
Publishing since 2006
Zih-Yu Lin's work spans materials engineering topics including perovskite materials, conducting polymers, 2D materials, and the use of machine learning and molecular simulation to study material properties. Recent projects include improving microbial fuel cell electrodes with graphene coatings and using large-scale molecular dynamics simulations to guide the design of ligands for quasi-2D perovskite materials, which are used in applications like solar cells and LEDs.
Publication output was minimal or absent in the earlier part of the decade but increased from 2021 onward, with a peak in 2023, suggesting growing recent activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Performance Enhancement of Microbial Fuel Cells Using Graphene-Coated Stainless Steel Mesh Anodes via Electrophoretic Deposition
Sensors and Materials · 2025
- Ligand Dataset for "Ligand Design Rules for Quasi-2D Perovskites from Large-Scale Molecular Dynamics Screening"
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Ligand Dataset for "Ligand Design Rules for Quasi-2D Perovskites from Large-Scale Molecular Dynamics Screening"
Zenodo (CERN European Organization for Nuclear Research) · 2025
- Equilibrium and Transport Properties of Methane at the Methane/Water Interface with the Presence of SDS
The Journal of Physical Chemistry C · 2018
- ChemRxiv×3
- Advanced Materials×2
- Zenodo (CERN European Organization for Nuclear Research)×2
- Nature Communications×1
- Journal of the American Chemical Society×1
- Letian Dou
Engineering · Purdue University West Lafayette
- Ke Ma
Engineering · Purdue University West Lafayette
- Jeong Hui Kim
Engineering · Purdue University West Lafayette
- Hanjun Yang
Engineering · Purdue University West Lafayette
- Jiaonan Sun
Engineering · Purdue University West Lafayette
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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