Results 91 to 100 of about 574,329 (262)
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Predicting acute cellular rejection after liver transplantation: form liver function test to immune monitoring [PDF]
In recent years, the main end point of immunosuppressive therapy after liver transplantation has moved from the prevention of acute cellular rejection (ACR) toward the preservation of long-term graft function and prevention of immunosuppression-related ...
Germani, Giacomo
core
An explicit constitutive reconstruction framework enables accurate tensile characterization of miniaturized additively manufactured specimens using only the grip‐to‐grip displacement measurements. Progressive validation through self‐consistency, analytical comparison, and inverse finite element method (iFEM) benchmarking demonstrates constitutive ...
Junqing Leng +4 more
wiley +1 more source
IRREGULARIDAD, INVALIDEZ E INEFICACIA EN EL CONTEXTO DE LA NULIDAD PROCESAL
El presente artículo busca proponer algunas bases conceptuales que se estiman útiles para el entendimiento de la nulidad en el proceso civil. Para ello, se distinguen y analizan tres conceptos -irregularidad, invalidez e ineficacia- que sirven para ...
FELIPE GORIGOITÍA ABBOTT
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
The ability to adapt interpersonal interactions to temperamental characteristics is essential for high-quality care. We analyzed how temperamental and self-regulation differences among children in residential care were related to the affective ...
Sabina D. Gaitán +4 more
doaj +1 more source
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang +9 more
wiley +1 more source
The widespread use of antimicrobial drugs has contributed to the increasing trace levels of contaminants in the environment, posing an environmental problem and a challenge to modern-day medicine seeking advanced solutions.
Obinna Anike +3 more
doaj +1 more source
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

