Results 241 to 250 of about 2,117,198 (290)

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

open access: yesAdvanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu   +5 more
wiley   +1 more source

Nanosecond pulsed field ablation for paroxysmal atrial fibrillation: feasibility, safety, and skeletal muscle activation. [PDF]

open access: yesEuropace
Li W   +14 more
europepmc   +1 more source

Development and Applications of a Magnetism‐Aware General‐Purpose Atomic Cluster Expansion Potential for the Fe‐O‐H Ternary System

open access: yesAdvanced Science, EarlyView.
Hydrogen‐driven iron oxide reduction, water‐iron corrosion, and hydrogen embrittlement of metallic iron share the same Fe‐O‐H chemistry. A general‐purpose Atomic Cluster Expansion potential covers this chemistry across the full concentration range with explicit Ising‐like treatment of magnetism.
Baptiste Bienvenu   +5 more
wiley   +1 more source

Radiofrequency Ablation for Atrial Arrhythmia After Esophagectomy. [PDF]

open access: yesJACC Case Rep
Li Y   +6 more
europepmc   +1 more source

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks. [PDF]

open access: yesSci Adv
Wu Y   +11 more
europepmc   +1 more source

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