AIMC Topic: Molybdenum
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MoS Memristors Exhibiting Variable Switching Characteristics toward Biorealistic Synaptic Emulation.
ACS nano
Sep 11, 2018
Memristors based on 2D layered materials could provide biorealistic ionic interactions and potentially enable construction of energy-efficient artificial neural networks capable of faithfully emulating neuronal interconnections in human brains. To bu...
Mimicking Neurotransmitter Release in Chemical Synapses via Hysteresis Engineering in MoS Transistors.
ACS nano
Mar 10, 2017
Neurotransmitter release in chemical synapses is fundamental to diverse brain functions such as motor action, learning, cognition, emotion, perception, and consciousness. Moreover, improper functioning or abnormal release of neurotransmitter is assoc...
MoSe Nanolabels for Electrochemical Immunoassays.
Analytical chemistry
Nov 28, 2016
There is huge interest in biosensors as a result of the demand for personalized medicine. In biomolecular detection, transition-metal dichalcogenides (TMDs) can be used as signal-enhancing elements. Herein, we utilize a solution-based electrochemical...
Heterojunction nanofluidic memristors based on peptide chain valves for neuromorphic applications.
Biosensors & bioelectronics
Aug 15, 2025
Memristors exhibit significant potential for neuromorphic computing due to their unique properties. This study introduces a heterojunction nanofluidic memristor (HJNFM) and explores its applications in simulating synapses and constructing neural netw...
Deep learning for nanopore ionic current blockades.
The Journal of chemical physics
Jan 28, 2021
DNA molecules can electrophoretically be driven through a nanoscale opening in a material, giving rise to rich and measurable ionic current blockades. In this work, we train machine learning models on experimental ionic blockade data from DNA nucleot...
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