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
A semi-analytical physics-informed neural network framework with hessian analysis for singularly perturbed fractal convection-dominated anomalous diffusion problems. [PDF]
Jha N, Rai MB.
europepmc +1 more source
This work reveals the UV‐curing‐induced monomer‐rich domain, oligomer‐rich domain, and entangled oligomer domain. The cured submicron films in stressed state induce interlayer nano‐wrinkle structures during the deposition of the second layer. Stress‐free cured films in relaxed state form non‐diffusive, diffusive and semi‐diffusive interlayer ...
Shouzheng Chen +13 more
wiley +1 more source
Relaxation approach to quantum-mechanical modeling of ferroelectric and antiferroelectric phase transitions. [PDF]
Maity N +7 more
europepmc +1 more source
Amphoteric Cu‐Doping Leading to High Thermoelectric Performance in p‐Type Bismuth Antimony Telluride
This study shows that Cu plays two opposite roles in p‐type Bi0.5Sb1.5Te3 depending on the processing route. Under thermodynamic‐equilibrium bulk‐synthesis, Cu mainly occupies cation sites, increases hole concentration, preserves mobility, and slightly reduces lattice heat transport. The best‐performing composition among the investigated series reaches
Moritz Thiem +15 more
wiley +1 more source
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley +1 more source
Bioinspired Hydrogels with Broadly Programmable Mechanics for Soft‐Tissue Interfaces
Sea cucumber‐inspired gelatin hydrogels are formed by directional freezing and mechanically programmed through subsequent ionic treatment. Multiscale characterization and modeling link ion‐regulated chain interactions to directional load transfer within the aligned hierarchical architecture.
Youchao Teng +20 more
wiley +1 more source
Multi-Modal Physics-Informed Neural Network for Single-Track Geometry Prediction in Powder-Bed Arc Additive Manufacturing of 316L Stainless Steel. [PDF]
Balcı A.
europepmc +1 more source
A post‐growth method is demonstrated to realize energy‐tunable quantum emitters in GaAs/GaAsN/GaAs core–multishell nanowires on a Si substrate. By combining the N‐induced bandgap reduction with H‐ion irradiation, the GaAsN potential landscape is engineered, enabling isolated, narrow emission lines that function as single‐photon sources with g(2)(0) ∼ 0.
Akant Sagar Sharma +10 more
wiley +1 more source
XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source

