Results 161 to 170 of about 858,800 (318)

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee   +3 more
wiley   +1 more source

Exploring Deep Semantic Segmentation Models for Cloud Cover Estimation Using Cloud Images

open access: yes
Predicting cloud cover from ground-based observations is crucial for weather forecasting and meteorological analyses. Current methodologies face chal- lenges in terms of cost, time consumption, and accuracy. This study evaluates the effectiveness of three state of the art semantic segmentation models in accurately segmenting cloud images for cloud ...
openaire   +1 more source

Economic Viability of Photovoltaic Systems Providing Frequency Containment Reserve

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This article investigates the feasibility of photovoltaic (PV) systems providing frequency containment reserve (FCR) in the Netherlands. The economic analysis demonstrates that a PV plant can profitably participate in FCR without battery storage by maintaining an active power reserve.
Emil Petkovski   +3 more
wiley   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

open access: yesAdvanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek   +23 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

MODELING OF A CLOUD COVER ON THE BASIS OF SATELLITE PHOTOS

open access: yesPraci Institutu elektrodinamiki Nacionalanoi akademii nauk Ukraini, 2020
K.C. Klen, V.I. Martyniuk, V.Ya. Zhuykov
openaire   +1 more source

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