Results 181 to 190 of about 368,749 (284)

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

open access: yesAdvanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang   +3 more
wiley   +1 more source

Embedded Direct Ink Writing of Thermoset and Elastomeric Polymers via Frontal Polymerization

open access: yesAdvanced Functional Materials, EarlyView.
Embedded frontal polymerization direct ink writing (FP‐DIW) combines frontal ring‐opening metathesis polymerization with embedded 3D printing to decouple deposition from curing. A yield‐stress support bath stabilizes low‐viscosity inks, while on‐demand thermal initiation enables controlled front propagation. This approach expands the accessible feature
Mohammad Tanver Hossain   +12 more
wiley   +1 more source

HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. [PDF]

open access: yesFind ACL EMNLP, 2023
Wu Z, Xiao C, Vydiswaran VV.
europepmc   +1 more source

Confinement in Metal‐Organic Frameworks as a Route to Harnessing Liquid Barocalorics in the Solid‐State

open access: yesAdvanced Functional Materials, EarlyView.
Encapsulation of solid–liquid barocalorics (BC) within MOFs harnesses their colossal BC performance whilst allowing active control of BC properties through BC‐MOF interactions. ABSTRACT Barocaloric (BC) effects at liquid–vapor transitions in hydrofluorocarbons drive most commercial technologies used for heating and cooling in the heating, ventilation ...
Ming Zeng   +8 more
wiley   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall   +4 more
wiley   +1 more source

Hybrid Ferroelectric Tunnel Junctions with Intrinsic Nonlinearity and Self‐Rectification via Interfacial Reconstruction

open access: yesAdvanced Functional Materials, EarlyView.
Rapid thermal annealing reconstructs the BCFO/Nb:STO interface into an atomically thin reconstructed interfacial layer, which reshapes the tunneling barrier and converts a high‐TER ferroelectric tunnel junction into an intrinsically nonlinear, self‐rectifying device.
Hojin Lee   +21 more
wiley   +1 more source

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