Results 121 to 130 of about 7,760 (253)
Many-body correlations in the kinetic theory of solids
Multiquantum integral kinetic equations for the micropolarization and longitudinal di- electric function are derived with account of pair correlations.
Cliucanov, Alexandr
doaj
Infrared metasurface‐guided waves (IR‐MGW) scattered by a time interface (TI) induced by rapid, localized free‐carrier generation can be efficiently rectified to generate strong, persistent magnetic fields. We develop a rigorous, theoretical model to study a time‐varying, dispersive medium and uncover the redistribution of the initial energy of the IR ...
Shivaksh Rawat +2 more
wiley +1 more source
Cellular forces are traditionally inferred from displacement measurements, which lack rotational information and are constrained by linear model assumptions. This work replaces displacement with rotational angle for the fundamental mechanical readout.
Linjie Ma +8 more
wiley +1 more source
Data‐Driven Discovery of Unconventional Antiferromagnets
A high‐throughput workflow that combines the physics‐informed pre‐screening, high‐throughput exchange calculations, Luttinger‐Tisza analysis and symmetry classification is established for accurate identification of unconventional antiferromagnets from the broad structural database.
Qirui Cui +3 more
wiley +1 more source
Symmetry‐Imposed Selection Rules for Excitations of Nontrivial Plasmonic Topologies
A unified group‐theory selection rule governs the excitation of vectorial nearfield topologies across three plasmonic spin states. Derived from first principles, it predicts spin–orbit vortex splitting and multidimensional nested vortices, confirmed by phase‐resolved in situ measurements.
Jie Yang +14 more
wiley +1 more source
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
wiley +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Trajectory Class Fluctuation Theorem
Abstract The Trajectory Class Fluctuation Theorem (TCFT) presents equalities between thermodynamic quantities, such as work costs and free energy changes, and the probabilities of classes of system-state trajectories in equilibrium-steady-state nonequilibrium processes.
Gregory Wimsatt +2 more
openaire +2 more sources
Disorder‐Driven Ionic Mobility Edge and Localization‐Driven Dendrite Formation in Solid Electrolytes
Migration‐barrier disorder localizes ionic transport into a sparse percolation backbone. Current and electric‐field focusing at filament tips promote fractal dendrite growth and suppress the critical current density according to jcrit = j0 exp(−σEeff/kBT).
Dongwook Lee, Jiwon Seo
wiley +1 more source
Temperature Sensitivity and Adaptation of Cereal Yields: Empirical Evidence From Italy
ABSTRACT This paper investigates the evolving temperature sensitivity and climate adaptation of cereal yields in Italy from 1952 to 2023, using province‐level data for maize, common wheat, and durum wheat. Employing panel data econometric methods, we estimate yield responses to heat exposure, changes in sensitivity over time, and adaptation to climate ...
Paolo Nota +2 more
wiley +1 more source

