Results 101 to 110 of about 6,652 (252)
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales +6 more
wiley +1 more source
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu +8 more
wiley +1 more source
Abstract Background The zebrafish heart regenerates upon injury. During injury response, fibroblasts and endothelial cells accumulate at the site of damage, and cardiomyocyte cell cycle reentry allows cardiac muscle regrowth. It is relevant to understand how the different cell types communicate with each other to coordinate regeneration.
João A. S. Carvalho +6 more
wiley +1 more source
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu +4 more
wiley +1 more source
Artificial structures for human‐machine interfaces with closed‐loop interaction
Artificial structures bridge sensing and feedback in closed‐loop human‐machine interfaces by providing geometry‐enabled mechanical and functional programmability. This review maps the role of artificial structures in diverse sensing modalities and feedback strategies, and illustrates their integration into closed‐loop interaction systems, highlighting ...
Taiqi Hu +4 more
wiley +1 more source
This review focuses on spatial omics, covering the introduction and comparison of technology platforms, explanation and recommendation of algorithm ecology, demonstration of biological applications, and prospect of large models. It aims to help researchers in the interdisciplinary field of spatial omics quickly understand the current situation and ...
Haoxiu Wang +26 more
wiley +1 more source
The regulation of stem cell fate and its application in neural regeneration
Regulating stem cell fate is crucial for neural regeneration. This review summarizes key physical, biological, and chemical strategies and their applications in repairing nerve injuries, providing new insights for regenerative medicine. Abstract Regulating the fate of stem cells (SCs) is a key technical problem in the field of regenerative medicine and
Yuexin He +3 more
wiley +1 more source
Observed Linkages Between Marine Heatwaves and Extreme Weather Over Land: A New Zealand Case Study
Marine heatwaves consistently warm New Zealand's land surface, but rainfall impacts occur only when synoptic systems enable moisture transport. This 38‐year analysis shows MHWs act as thermodynamic background drivers of heat and conditional amplifiers of extreme rainfall events or droughts.
Matthew Chinappa +3 more
wiley +1 more source

