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Machine Learning Accelerated Discovery of Promising Thermal …

Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity. ACS Appl Mater Interfaces. 2022 Sep 28;14 …

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Graph theory and graph neural network assisted high-throughput …

Numerous structures with ultralow LTC and high heat capacity, which are promising for advanced energy conversion and energy storage, have been identified. The success of our workflow demonstrates that combining graph theory with pre-trained …

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Journal of Energy Storage | Vol 84, Part A, 15 April 2024

Articles from the Special Issue on Modern Energy Storage Technologies for Decarbonized Power Systems under the background of circular economy with sustainable development; …

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Machine Learning Accelerated Discovery of Promising Thermal …

Machine Learning Accelerated Discovery of Promising Thermal Energy Storage Materials with High Heat Capacity. Award ID (s): 2030128 2110033 1905775. NSF-PAR ID: …

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Enhancement of the reversible capacity and cycling stability of …

This material exhibits a high reversible capacity of 217 mA h g −1 which is attributed to Mn 3+ − e − = Mn 4+ and O 2− − ne − = O (2−n)− demonstrated by combined spectrum and …

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The role of underground salt caverns for large-scale energy …

Underground gas storage (UGS) is an important part of the natural gas industry. Its peaking characteristics and storage capacity are critical to national energy …

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Energy Storage Science and Technology

Large-scale energy storage is a pivotal part of the carbon neutrality and multi-energy complementation ecosystem, a bridge between clean energy and …

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Research Article Temperature Field Analysis and Thermal …

Published: January 01, 2014. Research Article Temperature Field Analysis and Thermal Dissipation Structure Optimization of Lithium-ion Battery Pack in PEVs. Hu Jianjun, Li …

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Machine Learning Accelerated Discovery of Promising Thermal …

This study paves the way for accelerating the discovery of novel thermal energy storage materials by combining machine learning with minimal DFT inquiry. KEYWORDS: …

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Machine Learning Accelerated Discovery of Promising Thermal …

Abstract. Thermal energy storage offers numerous benefits by reducing energy consumption and promoting the use of renewable energy sources. Thermal …

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