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Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process

Diffusion processes are ubiquitous. In human brains, the membrane potential of neurons is affected by stochastic noise1-3, which can be described by the Langevin equation in neuro field theory (Fig. 1a). Inspired by Langevin dynamics, denoising diffusion probabilistic models (DDPM, or diffusion model) were proposed and have become one of the major breakthroughs in deep learning over the last few years.

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Yang Cheng, Qingyuan Shu, Albert Lee, Haoran He, Ivy Zhu, Haris Suhail, Minzhang Chen, Renhe Chen, Zirui Wang, Hantao Zhang, Chih-Yao Wang, Shan-Yi Yang, Yu-Chen Hsin, Cheng-Yi Shih, Hsin-Han Lee, Ran Cheng, Sudhakar Pamarti, Xufeng Kou, Kang L. Wang (2024). Dataset: Voltage-Controlled Magnetoelectric Devices for Neuromorphic Diffusion Process. https://doi.org/10.57702/0kdbv297

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2407.12261
Author	Yang Cheng
More Authors	Qingyuan Shu Albert Lee Haoran He Ivy Zhu Haris Suhail Minzhang Chen Renhe Chen Zirui Wang Hantao Zhang Chih-Yao Wang Shan-Yi Yang Yu-Chen Hsin Cheng-Yi Shih Hsin-Han Lee Ran Cheng Sudhakar Pamarti Xufeng Kou Kang L. Wang