Results 181 to 190 of about 11,467,392 (329)
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Machine learning-assisted mRNA vaccine pharmacovigilance: a systematic review of multi-source real-world data. [PDF]
He Y, Mao Y, Wang X.
europepmc +1 more source
High‐Throughput Discovery of Quantum Frustrated Materials
Physics‐guided discovery of frustrated kagome and triangular magnets. ABSTRACT Geometrical frustration provides a fertile platform for realizing exotic quantum phases such as spin liquids, yet, the predictive identification of frustrated magnets remains limited.
Byeong‐Hyeon Jeong +4 more
wiley +1 more source
Data-Efficient and Fast Machine Learning Molecular Dynamics through Integrated Active Learning and Knowledge Distillation. [PDF]
Lian X, Pasquarello A.
europepmc +1 more source
Heterophily-informed Message Passing
Publisher Copyright: © 2025, Transactions on Machine Learning Research. All rights reserved.Graph neural networks (GNNs) are known to be vulnerable to oversmoothing due to their implicit homophily assumption.
Solin, Arno, Garg, Vikas, Wang, Haishan
core
Bayesian generative active deep learning
Deep learning models have demonstrated outstanding performance in several problems, but their training process tends to require immense amounts of computational and human resources for training and labeling, constraining the types of problems that can be
Do, TT +7 more
core
Carbon dots‐supported single‐atom catalysts provide a model platform for uncovering how coordination interactions regulate catalytic reactivity. Thiol binding at Ru‒N4 centers reshapes the reaction energy landscape of H2O2 activation, dynamically modulating ROS‐generation pathways through electronic‐structure perturbation.
Yihong Chen +11 more
wiley +1 more source
Editorial: Advances in smart and adaptive prosthetic and wearable technologies. [PDF]
Angelidou C +3 more
europepmc +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Machine learning approaches for electrocatalyst design in water splitting: a review for green hydrogen production. [PDF]
Kudapa VK +6 more
europepmc +1 more source

