Cargando…
Applying Neuromorphic Computing Simulation in Band Gap Prediction and Chemical Reaction Classification
[Image: see text] The rapidly developing artificial intelligence (AI) requires revolutionary computing architectures to break the energy efficiency bottleneck caused by the traditional von Neumann computing architecture. In addition, the emerging brain–machine interface also requires computational c...
Autores principales: | Li, Baochen, Sun, Haibin, Shu, Haonian, Wang, Xiaoxue |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756567/ https://www.ncbi.nlm.nih.gov/pubmed/35036688 http://dx.doi.org/10.1021/acsomega.1c04287 |
Ejemplares similares
-
Dynamic Model of the Short-Term Synaptic Behaviors
of PEDOT-based Organic Electrochemical Transistors with Modified Shockley
Equations
por: Shu, Haonian, et al.
Publicado: (2022) -
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning
por: Deng, Lei, et al.
Publicado: (2021) -
Magnetic Elements for Neuromorphic Computing
por: Blachowicz, Tomasz, et al.
Publicado: (2020) -
Markov Chain Abstractions of Electrochemical Reaction-Diffusion in Synaptic Transmission for Neuromorphic Computing
por: Wagner, Margot, et al.
Publicado: (2021) -
Verification of a neuromorphic computing network simulator using experimental traffic data
por: Kleijnen, Robert, et al.
Publicado: (2022)