Research

Neuromorphic Electronics and Iontronics schematic illustration

Neuromorphic Electronics and Iontronics

Developing artificial neurons and synapses based on electronic components and nanofluidic devices; designing neuromorphic circuits and systems.

Selected Publications

  1. Z. Li, N. H. Pham, S.-L. Zhang, C. Wen#. Memristive Behavior and Mechanism in Solid-State Nanopores. arXiv, 2026. https://doi.org/10.48550/arXiv.2608.04815. [physics.app-ph]
Neuronal Dynamics and Modeling schematic illustration

Neuronal Dynamics and Modeling

Modeling and simulating the dynamics of neurons, synapses, and neural networks using physical models and dynamical system theory.

Selected Publications

  1. Z. Li, S.-L. Zhang, C. Wen#. Bifurcation Analysis Framework of Spiking Neuron Models. IEEE Transactions on Circuits and Systems I: Regular Papers, 2026. https://doi.org/10.1109/TCSI.2026.3710811.
Nanopore Single-Molecule Sensing schematic illustration

Nanopore Single-Molecule Sensing

Developing nanopore devices for biomolecule sensing, e.g., protein dynamics and biomarker detection.
Electrokinetics and Electro-Hydrodynamics schematic illustration

Electrokinetics and Electro-Hydrodynamics

Modeling and simulating electrolyte physics in nanoconfinement, including transport, multi-physics coupling, and strongly nonlinear interactions.
Machine Learning-Based Signal Processing schematic illustration

Machine Learning-Based Signal Processing

Understanding and developing machine learning algorithms for signal processing for single-molecule technologies.

Selected Publications

  1. X. Tong, C. Wen#. Denoise Stepwise Signals by Diffusion Model Based Approach. arXiv, 2026. https://arxiv.org/abs/2602.08904. [eess.SP, physics.app-ph, physics.bio-ph]

Student Projects

Silicon neurons and synapses: Electronic circuit design, simulation, and realization

Understand electroosmotic flow in nanopore systems