Results 161 to 170 of about 171,992 (268)

Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie   +6 more
wiley   +1 more source

Rol de la gastronomía en la transformación de la salud poblacional

open access: yesRevista Española de Nutrición Humana y Dietética, 2021
Usune Etxeberria   +5 more
doaj  

Molecular Dynamics Study of Melt Structure and Transport Properties of Mg‒Al Alloy

open access: yesMaterials Genome Engineering Advances, EarlyView.
The structural evolution and transport coefficients of the Mg‐Al alloy melt at different temperatures were investigated using molecular dynamics simulation methods. By establishing relationships among structure, diffusion, and viscosity, the microscopic mechanisms behind the temperature‐induced changes in transport properties are revealed. ABSTRACT The
Lijun Zhang   +7 more
wiley   +1 more source

Alcian blue-positive stromal phenotype in basal cell carcinoma is associated with progression on first-line hedgehog inhibitors. [PDF]

open access: yesJ Pathol Clin Res
DeTemple VK   +17 more
europepmc   +1 more source

The 2025 “Hacking Limnology” Workshop Series and DSOS Virtual Summit: A Half Decade of Data‐Intensive Aquatic Science

open access: yes
Limnology and Oceanography Bulletin, EarlyView.
Michael F. Meyer   +20 more
wiley   +1 more source

Assessment of Optimal T1/T2‐Weighted Combinations for Myelin Sensitivity: Effects of Echo Time and Exponents

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The aim of this study is to improve the traditional T1‐weighted (T1w) over T2‐weighted (T2w) ratio as a proxy for myelin by investigating the optimal T2w TE and combination of exponent‐weighted T1w and T2w images (T1wx1/T2wx2$$ \mathrm{T}1{\mathrm{w}}^{x_1}/\mathrm{T}2{\mathrm{w}}^{x_2} $$).
Simone Monachino   +7 more
wiley   +1 more source

Universal Phase Identification of Block Copolymers From Physics‐Informed Machine Learning

open access: yesJournal of Polymer Science, Volume 63, Issue 6, Page 1433-1440, 15 March 2025.
ABSTRACT Block copolymers play a vital role in materials science due to their diverse self‐assembly behavior. Traditionally, exploring the block copolymer self‐assembly and associated structure–property relationships involve iterative synthesis, characterization, and theory, which is labor‐intensive both experimentally and computationally.
Xinyi Fang   +6 more
wiley   +1 more source

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