Results 141 to 150 of about 301,039 (266)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Parental academic involvement and academic buoyancy among junior high school students: cross-sectional indirect associations involving peer relations and academic emotions. [PDF]

Front Psychol
Wang M, Yin X, Zhao Y, Teng S, Ji X.
europepmc   +1 more source

Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets

Advanced Science, EarlyView.
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao, Fengxian Ma, Guoping Gao, Weizhen Meng, Ying Liu, Yandong Ma, Yalong Jiao   +6 more
wiley   +1 more source

The relationship between spatial ability self-efficacy and visualization performance: psychometric evidence. [PDF]

Front Psychol
Kuzu O, Taşdelen H.
europepmc   +1 more source

Relational processing of abstractly and associatively related object pairs: an ERP study

Journal of Vision, 2017
Leemor Zucker, Liad Mudrik
openaire   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Reframing trauma recovery for public health: introducing the recovery assemblage framework. [PDF]

Front Public Health
Christodoulides V, Klein M.
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Advancing relational methods in agri-food governance research and beyond: Introducing the Socio-Material Actor-Network Analysis (SMANA) methodology. [PDF]

Open Res Eur
Zerbian T, Furlan V, López-García D.
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source