Results 131 to 140 of about 14,371 (276)

Coulomb stressing rate changes and seismicity dynamics associated with slow slip events in south-central Alaska

Earth and Planetary Physics
Two long-term slow slip events (SSEs) in Lower Cook Inlet, Alaska, were identified by Li SS et al. (2016). The earlier SSE lasted at least 9 years with Mw ~7.8 and had an average slip rate of ~82 mm/year.
ShanShan Li, XingLei Li, Bing Xu
doaj   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

Redirecting Excited‐State Proton Transfer Through Supramolecular Polymerization in Nanoconfinement

Angewandte Chemie, EarlyView.
Supramolecular confinement redirects the excited‐state proton transfer pathway of an amphoteric emitter. In water, the molecule undergoes ESPD, whereas co‐assembly with γ‐cyclodextrin forms nanotubes that template slip‐stacked emitter pairs and enable ESIMPT. Structural and photophysical characterization of the assemblies shows that the preorganization
Luis C. Pantaleone, Robert Hutchings, Bente Reus, Jacopo Martinelli, Alessia Lasorsa, Patrick C. A. van der Wel, Marc C. A. Stuart, Wesley R. Browne, Tibor Kudernac   +8 more
wiley   +2 more sources

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source

Space observation and Coulomb Stress Change Modelling: application to the Izmit earthquake

, 2017
In 1999, the Izmit Earthquake struck Istanbul and its surroundings in northwest Turkey. It was one of the most devastating earthquakes of the twentieth century, significantly impacting on 20 million inhabitants and nearly half of the country’s industry ...
Alac Barut, Ruken
core   +1 more source

Matching the Coupling of Valence Electrons in the Oxide Interface to Perturb the Magnetic Order Enhancing Oxygen Reduction in Zinc–Air Batteries

Angewandte Chemie, EarlyView.
Sub‐5 nm Fe2O3/Sm2O3 heterojunction nanoparticles are anchored on nitrogen‐doped carbon nanofibers, featuring coupled Fe(3d)‐O(2p)‐Sm(4f) orbitals at the interface. The resulting super‐exchange induces antiparallel magnetic ordering at heterointerfaces, suppressing spin‐dependent interaction between surface OH* species and Fe sites to facilitate OH ...
Jing Li, Ningkang Peng, Jianhua Ma, Tingyu Lu, Haibin Zhu, Guangyao Zhou, Yizhou Zhang, Yanhui Gu, Yawen Tang, Hao Li   +9 more
wiley   +2 more sources

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

Advanced 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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source