Results 51 to 60 of about 2,110 (237)
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2008 What is the physical significance of entropy? What is the physical origin of irreversibility? Do entropy and irreversibility exist only for complex and macroscopic systems?
Beretta, Gian Paolo
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Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals
Advanced Science, EarlyView.Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang +11 more
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Advanced Science, EarlyView.A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
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Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
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Nonequilibrium Statistical Mechanics
This book covers nonequilibrium statistical physics. Part one, aimed at undergraduates, introduces Langevin equations, general stochastic processes, kinetic theory, fluctuation theory, linear response theory, and stochastic thermodynamics. Part two discusses advanced topics and how to build nonequilibrium stochastic models.
Alessandro Sarracino +2 more
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Entropy, 2009 Current research is probing transport on ever smaller scales. Modeling of the electromagnetic interaction with nanoparticles or small collections of dipoles and its associated energy transport and nonequilibrium characteristics requires a detailed ...
James Baker-Jarvis, Jack Surek
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
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Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam +7 more
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Poissonian resetting of subdiffusion in a linear potential
Condensed Matter Physics, 2023 Resetting a stochastic process is an important problem describing the evolution of physical, biological and other systems which are continually returned to their certain fixed point. We consider the motion of a subdiffusive particle with a constant drift
A. A. Stanislavsky
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