Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
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
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source
2D Ultrasound Elasticity Imaging of Abdominal Aortic Aneurysms Using Deep Neural Networks. [PDF]
Tuladhar UR +3 more
europepmc +1 more source
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Beyond the reducing valve: towards a computational neurophenomenology of altered states via deep neural networks. [PDF]
Suzuki K.
europepmc +1 more source
Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source
Adnexal torsion diagnosis framework with CT-based adaptive preprocessing and deep neural networks. [PDF]
Kim SM +11 more
europepmc +1 more source
This study presents a magneto‐mechanical strategy that incorporates FP@MSCs into an aligned PCL/GelMA nerve guidance conduit. Magnetic stimulation increases membrane tension in FP@MSCs, triggering cytoskeletal remodeling, Schwann cell‐like differentiation, and TIMP1 secretion. TIMP1 activates ITGB1/CD63–FAK signaling in NE‐4C cells, increasing membrane
Xinyu Zhu +14 more
wiley +1 more source
Uncovering advanced transfer learning strategies for deep neural networks in natural language processing. [PDF]
Abbassy MM +3 more
europepmc +1 more source
Protein‐Nanoarchitectures for Low‐Field Intracellular Electro‐Immunomodulation
DHQ‐SDH‐mediated binding of AuNPs drives the formation of interconnected, chain‐like nanoarchitectures with enhanced electrical conductivity. These conductive assemblies undergo macrophage uptake and enable low‐field electrical stimulation, promoting M1‐to‐M2 phenotypic switching with decreased iNOS and increased CD206 expression. Such protein‐mediated
Viktoriya Pakharenko +7 more
wiley +1 more source

