Physics-informed neural network analysis of kerosene-based penta-hybrid nanofluid flow and heat transfer. [PDF]
Makhdoum BM +8 more
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An Alhagi maurorum inspired hierarchical composite membrane (NFCu) was developed by integrating heavy metal remediation and solar‐driven interfacial evaporation in a single platform. Beyond the photothermal effect, a localized photocatalytic process is realized on the CuO surface, deepening the mechanistic understanding of light–matter–water ...
Yuqiong He +9 more
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Efficient Automatic Design of a 2D TMD FET via Machine Learning-Assisted TCAD Simulation. [PDF]
Shi N, Wei ZJ, Wu T.
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Computational Protein Redesign of Bacteriophages by Using Evolutionary Algorithms. [PDF]
Armas R +4 more
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A manufacturability-informed topology framework for AI-guided design of fibrous network materials. [PDF]
Yang Y +6 more
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Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems. [PDF]
Nyangon J.
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CrystalGRW: generative modeling of crystal structures with targeted crystallographic properties via geodesic random walks. [PDF]
Tangsongcharoen K +8 more
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Intelligent kinematic physics engine construction for hyper-redundant cable-driven flexible manipulator. [PDF]
Wang S, Wang P, Wang X, Chen S, Liu M.
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The Physics of computing and computing with Physics
2022Abstract This Chapter shows that any physical system performs some type of computation, with the observers providing meaning (semantics) to such a computation. It then introduces an equivalence principle between physical (semantic) information and computation. Finally, it discusses the general criteria shared by all MemComputing machines.
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