Results 201 to 210 of about 68,322 (245)

Laser‐Induced Ultrafast Magnetic Phase Transition in 2D Van Der Waals Antiferromagnetic Heterostructures

open access: yesAdvanced Science, EarlyView.
In this work, ultrafast laser‐induced spin transfer and spin relaxation dynamics in 2D van der Waals antiferromagnetic CrI3/CrGeTe3 heterostructures are investigated. Laser excitation is demonstrated to induce pronounced interlayer nonequilibrium spin dynamics and ultrafast magnetic moment reconstruction, driving a transition from an antiferromagnetic (
Yang Wu   +5 more
wiley   +1 more source

Thermodynamics of Concomitant Charge‐Transfer, Antiferromagnetic, and Isostructural Phase Transitions in Barocaloric ACu3Fe4O12 Quadruple Perovskites

open access: yesAdvanced Science, EarlyView.
A copper‐iron charge transfer instability drives concomitant electronic, magnetic, and isostructural phase transitions in ACu3Fe4O12${\rm ACu}_3{\rm Fe}_4{\rm O}_{12}$, with an inverse barocaloric effect. A minimal Landau theory ties these thermodynamic signatures together, revealing a pressure‐independent transition entropy with comparable charge and ...
Jefferson Delgado‐Quesada   +1 more
wiley   +1 more source

Accurate geometric albedo, shape, and size of Hi'iaka from a stellar occultation. [PDF]

open access: yesNat Commun
Fernández-Valenzuela E   +73 more
europepmc   +1 more source

Displacive In‐Plane Ferroelectricity with Domain‐Specific Curie Temperature in Van der Waals Semiconductors

open access: yesAdvanced Science, EarlyView.
Temperature‐dependent electron diffraction on tin monochalcogenides demonstrates a gradual displacive transformation between ferroelectric and paraelectric phases with significant variability in lattice constants and Curie temperature (TC). Periodic variations exist even between domains in individual crystals, implying a domain‐specific Curie ...
Peter Sutter, Eli Sutter
wiley   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

The Strategic Role of Nursing in Implementing CureAll in the Americas: Essential Competencies and Workforce Strengthening. [PDF]

open access: yesRev Lat Am Enfermagem
Lopes-Júnior LC   +5 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

New High‐Tc Charge‐Transfer Multiferroicity in the Quasi‐2D Antiferromagnet CrSbS3

open access: yesAdvanced Science, EarlyView.
ABSTRACT Low‐dimensional magnets, particularly 2D systems, offer a rich platform for realizing unconventional multiferroic mechanisms, especially when multiple polarization channels coexist. In the quasi‐2D antiferromagnet CrSbS3, which crystallizes in the centrosymmetric orthorhombic space group Pnma and orders magnetically at TN ≈ 90 K, two ...
Hung‐Cheng Wu   +17 more
wiley   +1 more source

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