Results 131 to 140 of about 9,152 (255)

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Soft-matter-based topological vertical cavity surface emitting lasers. [PDF]

open access: yesLight Sci Appl
Wang Y   +9 more
europepmc   +1 more source

Giant Exfoliation Induced Magnetic Coercivity in Fe3GaTe2

open access: yesAdvanced Electronic Materials, EarlyView.
Mechanical exfoliation is shown to transform the van der Waals ferromagnet Fe3GaTe2 from a soft into a hard magnetic system. Reducing thickness drives a crossover to single‐domain behavior, dramatically enhancing in‐plane coercivity to near–permanent‐magnet levels at room temperature.
Lingrui Mei   +8 more
wiley   +1 more source

Deep learning-enabled versatile shape perception for soft robots via single-ended multimode fiber. [PDF]

open access: yesSci Adv
He Z   +13 more
europepmc   +1 more source

Oxygen‐Driven Structural Reorganization by Trace Water Enabling Fast Li‐Ion Transport in a Pliable Solid Electrolyte

open access: yesAdvanced Energy Materials, EarlyView.
Trace water is acting as a constructive mediator in 2LiCl–GaF3, markedly increasing ionic conductivity while reorganizing local coordination. Hydration creates localized Li+ solvation environments and partially dissociates ion pairs, enhancing Li‐ion mobility.
Youngkyung Kim   +10 more
wiley   +1 more source

Trusses beyond trusses: intertwined and straw-based metamaterials and beyond. [PDF]

open access: yesNPJ Metamater
Pescialli E   +4 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

The Neuro-Cardiac Symbiotic Engine: A Multimodal Fusion Architecture for Cognitive State Decoding via High-Performance Computing. [PDF]

open access: yesLife (Basel)
Bastidas-Benalcazar N   +8 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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