Ching Lee on Muck Rack

Ching Lee

Verified
Sacramento
As seen in: Ag Alert, Nature, Wiley Online Library, PLOS, MDPI, Physical Review B, NewsBreak, The Reporter (Vacaville, CA), Santa Maria Times, Chico Enterprise-Record, Daily Democrat and
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Articles

Deep-learning-empowered programmable topolectrical circuits

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By Hao Jia, Shanglin Yang, Jiajun He, Shuo Liu, Haoxiang Chen, Ce Shang, Shaojie Ma, Peng Han, Ching Lee , Zhen Gao, Yun Lai, Tie Jun Cui
| Nature
Abstract Topolectrical circuits provide a versatile platform for exploring modern physical models, yet existing approaches lack full programmability and effective mechanisms for inverse state design. Here, we present a deep-learning-empowered programmable topolectrical circuit platform for physical modeling and analysis.
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Reversing non-Hermitian skin accumulation with a non-local transverse switch

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By Mengjie Yang, Ching Lee 
| Nature
Abstract Asymmetrically directed couplings in non-Hermitian systems cause directional amplification that leads to boundary skin state accumulation. However, counter-intuitively, the direction of accumulation may not follow that of the directed couplings. In this work, we demonstrate mechanisms where this accumulation can be systematically reversed without modifying the couplings at all, just by adjusting the system size or boundary conditions in a different, transverse direction.
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Deterministic scale-invariant dynamics in a logistic Game-of-Life model

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By Hakan AKGÜN, Muhamet Ibrahimi, Ching Lee , Seymur Jahangirov, Xianquan Yan, Tamer Taşkıran
| Nature
Abstract Scale invariance is a hallmark of criticality in complex dynamical systems. While random external inputs or tunable stochastic interactions are typically required to produce critical behavior, it remains unclear whether scale-invariant dynamics can emerge from purely deterministic interactions. Here, we address this question by studying the asymptotic dynamics of the logistic Game of Life (GOL), a deterministic-parameter extension of Conway’s GOL.
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