1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2022★ 1 cited
Unlocking device-scale atomistic modelling of phase-change memory materials
Yuxing Zhou, Wei Zhang, En Ma +1
Quantum-accurate computer simulations play a central role in understanding phase-change materials (PCMs) for advanced memory technologies. However, direct quantum-mechanical simula…
cs.ET2022
Molecular-scale Integration of Multi-modal Sensing and Neuromorphic Computing with Organic Electrochemical Transistors
Shijie Wang, Xi Chen, Chao Zhao +11
Abstract: Bionic learning with fused sensing, memory and processing functions outperforms artificial neural networks running on silicon chips in terms of efficiency and footprint.…
cs.LG2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology
Zhehui Wang, Tao Luo, Rick Siow Mong Goh +2
In-memory deep learning computes neural network models where they are stored, thus avoiding long distance communication between memory and computation units, resulting in considera…