Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
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]
Wang Y +9 more
europepmc +1 more source
Giant Exfoliation Induced Magnetic Coercivity in Fe3GaTe2
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]
He Z +13 more
europepmc +1 more source
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]
Pescialli E +4 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
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]
Bastidas-Benalcazar N +8 more
europepmc +1 more source
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
Noise-Resilient Whitened Domain Adaptation for Intelligent Mechanical Fault Diagnosis Under Non-Stationary Sensor Signals. [PDF]
Chen Q, Xie Y.
europepmc +1 more source

