Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Advanced 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
Applicability of Dynamic Energy Budget (DEB) models across steep environmental gradients. [PDF]
Sci Rep, 2018 Monaco CJ, McQuaid CD.
europepmc +1 more source
Advanced Electronic Materials, EarlyView.This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley +1 more source
Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment. [PDF]
Integr Environ Assess Manag, 2018 Murphy CA +13 more
europepmc +1 more source
Atomic‐Scale Mechanisms of Anisotropic Thermal Decomposition in GeSn Alloys With Stepwise Pinning
Advanced Electronic Materials, EarlyView.Combining in situ TEM with DFT calculations, this work elucidates atomic‐scale anisotropic thermal decomposition in GeSn films, identifying laminar receding in defect‐free regions and stepwise pinning at stacking faults. Driven by crystallographic anisotropy and defect‐mediated energetic penalties, these findings establish a physical framework for ...
YiXin Wang +6 more
wiley +1 more source
The AmP project: Comparing species on the basis of dynamic energy budget parameters. [PDF]
PLoS Comput Biol, 2018 Marques GM +5 more
europepmc +1 more source
Advanced Electronic Materials, EarlyView.This work investigates the electrical properties and interfacial strain in thermally oxidized 4H‐SiC MOS structures under different post‐oxidation annealing. Nitrogen annealing simultaneously reduces interface state density and increases interfacial tensile strain, thus being accompanied by the formation of an interfacial dipole.
Fabrizio Roccaforte +9 more
wiley +1 more source
Publisher Correction: Wave energy budget analysis in the Earth's radiation belts uncovers a missing energy. [PDF]
Nat Commun, 2018 Artemyev AV +4 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced 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
Large-scale energy budget of impulsive magnetic reconnection: Theory and simulation. [PDF]
J Geophys Res Space Phys, 2017 Kiehas SA +5 more
europepmc +1 more source