Results 131 to 140 of about 8,208,222 (284)
The impact of Coulomb stress changes of the 2018 Mw 7.5 Palu earthquake, Indonesia
B. Ahadov, Sh. Jin
openaire +1 more source
Free Charge Generation in Organic Photoconversion Devices–the Impact of Electrostatic Potentials
Free charge generation in organic photovoltaic and photodetector devices typically requires an external driving force to separate bound excitons formed upon photoexcitation. This review details how electrostatic potentials, arising from molecular charge distributions in organic semiconductors, can impact interfacial energetic landscapes and promote ...
Emily J. Yang +3 more
wiley +1 more source
Transient electron spin resonance distinguishes interfacial charge‐transfer states from separated charges, revealing competing charge separation pathways in organic photovoltaic blends. The relative contributions of fast charge separation and a pathway mediated by spin‐polarized charge‐transfer states vary across different blends, with high‐efficiency ...
Jack M. S. Palmer, Claudia E. Tait
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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 +1 more
wiley +1 more source
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 +8 more
wiley +1 more source
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Unexpectedly Strong Electrostatic Screening in Nano‐Ion Solutions
Colloidal probe AFM measurements reveal unexpectedly strong electrostatic screening in aqueous solutions of the polyoxometalates phosphotungstate [PW12O40]3−${[{\rm PW}_{12}{\rm O}_{40}]}^{3-}$ and silicotungstate [SiW12O40]4−$[{\rm SiW}_{12}{\rm O}_{40}]^{4-}$.
Thomas Tilger +5 more
wiley +1 more source
The statistical analysis of SAXS modelling data allows to identify the critical physicochemical parameters that have an impact on the phase behavior of crude sophorolipid batches. ABSTRACT The aqueous self‐assembly of raw sophorolipid mixtures has been studied by small angle x‐ray scattering (SAXS) to understand the impact of the composition ...
Maia Ouret‐Campagnet +5 more
wiley +1 more source
Observational records and climate projections provide abundant evidence that freshwater resources are vulnerable and have the potential to be strongly impacted by climate change, with wide-ranging consequences for human societies ...
Kundzewicz, Zbigniew +2 more
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