activity
20172026
collaborators

5 papers

physics.app-ph2026

Memristive Behavior and Mechanism in Solid-State Nanopores

Zhiwei Li, Ngan Hoang Pham, Shi-Li Zhang +1

Nanofluidic memristors whose conductance evolves through history-dependent ionic transport and dynamic interfacial processes are promising building blocks for ionic neuromorphic ap…

physics.app-ph2026

Bifurcation Analysis Framework of Spiking Neuron Models

Zhiwei Li, Shi-Li Zhang, Chenyu Wen

Neuromorphic computing targets energy-efficient event-driven information processing by placing artificial spiking-neurons at its core. Artificial neuron devices and circuits have m…

eess.SP2021

Deep learning of nanopore sensing signals using a bi-path network

Dario Dematties, Chenyu Wen, Mauricio David Pérez +2

Temporary changes in electrical resistance of a nanopore sensor caused by translocating target analytes are recorded as a sequence of pulses on current traces. Prevalent algorithms…

cond-mat.supr-con2021

Superconducting VSi for quantum circuit applications

Tom Doekle Vethaak, Frederic Gustavo, Thierry Farjot +5

VSi thin films are known to be superconducting with transition temperatures up to 15 K, depending on the annealing temperature and the properties of the substrate underneath. H…

physics.bio-ph2017

A zero-depth nanopore capillary for the analysis of translocating biomolecules

Hadi Arjmandi-Tash, Amedeo Bellunato, Chenyu Wen +4

High-fidelity analysis of translocating biomolecules through nanopores demands shortening the nanocapillary length to a minimal value. Existing nanopores and capillaries, however,…