Kirchhoff’s law for memristors
Extends Kirchhoff’s laws to include memristive elements, capturing the dynamic relationship between voltage, current, and memory-dependent resistance in circuit analysis.
Project page →Chemistry × Data Science
Chem is try — the art of transforming matter.
Data is Do, Analyze, Think, Act — the art of transforming meaning.
Research
I'm mostly focused on the electrochemistry memristor development, the interdisciplinary project involves:
- Electrochemistry memristor construction and analysis
- Neural networks, machine learning developments
- Molecular dynamics analysis
- DFT, COMSOL simulation
Construct neural network
Designs a neural network model to emulate memristor behavior, capturing its nonlinear current–voltage dynamics and memory-dependent resistance for circuit prediction and optimization.
Project page →MD simulation and nanopipette simulation
Simulates ionic transport and electrochemical behavior in nanopipettes to study nanoscale sensing, flow, and conductance mechanisms.
Project page →Publications
Selected papers. Full list on Google Scholar.
Teaching
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CH101/102/131 — General & Fundamental Chemistry (BU)
Stoichiometry, states of matter, acids/bases, equilibrium, and selected chemical systems.
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CHEM 4000/6000 — Quantitative Chemical Analysis (GSU)
Quantitative analysis, titrations.
News
- Dec, 2024: Paper accepted by Springer Nature in Chemistry Africa.
- Jul, 2023: ASP Conference at Maryland.
- Dec, 2019: Paper accepted by ACS Analytical Chemistry.
Contact
Suwen Shi
Chemistry / Georgia State University
Atlanta, GA, USA
Email: sshi5@gsu.edu