Predicting the evolution of high-dimensional chaotic systems, such as meteorological and climate dynamics, demands hardware-efficient frameworks capable of capturing complex spatio-temporal correlations. While reservoir computing (RC) offers a promising approach, conventional implementations are constrained by fixed...
Zi-Jian Wang, Guo-Bin Zhang, Xue-Meng Fan et al.· National Science Review· 0 citations
Compact, low-power optoelectronic devices that integrate sensing, memory, and computing have shown substantial potential for realizing software-hardware co-design in artificial intelligence systems. However, existing optoelectronic devices integrating multiple functions typically suffer from fixed carrier dynamics that...
Dong-Yue Li, Wen-Bo Zhang, Jie Xing et al.· ACS Applied Materials and In...· 0 citations
An autonomous modeling method based on deep ensemble neural networks to construct a high-fidelity physical etching model that can automatically extract and calibrate key model parameters using significantly less experimental data, to achieve predicted profiles that are in excellent agreement with experiments.
Ho-dal Song, Yuxuan Zhai, Ziyi Hu et al.· Journal of Vacuum Science &a...· 0 citations
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