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Kyu Taek Cho on Muck Rack

Kyu Taek Cho

As seen in: Nature, Journal of Manufacturing and Materials Processing, MDPI, ACS Publications
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Articles

Framework for digital synthesis of battery electrode microstructure using inverse generative machine learning algorithm

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By Kyu Taek Cho, Venkat Srinivasan, Sragwin Nitturi
| Nature Verified
Abstract The microstructure of electrodes in lithium-ion batteries strongly influences the transport and electrochemical behavior of reactive species, ultimately affecting overall battery performance. While numerous studies have investigated how variations in electrode microstructure influence cell behavior, research aimed at directly generating electrode microstructure images from target performance inputs remains limited.
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Machine Learning Framework for Hybrid Clad Characteristics Modeling in Metal Additive Manufacturing

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By Sina Tayebati, Kyu Taek Cho, Kyu Taek
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Modeling Analysis of Ball-Milling Process for Battery-Electrode Synthesis

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By Christopher Welch, Kyu Taek Cho, Venkat Srinivasan
| ACS Publications
Download Hi-Res ImageDownload to MS-PowerPointCite This:Chem. Mater. 2024, XXXX, XXX Terms & Conditions Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses).
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