Data-driven design of NASICON-type electrodes using graph-based neural networks Author Yoonsu Shim, Incheol Jeong, Junpyo Hur, Hyoungjeen Jeen, Seung-Taek Myung, Kang Taek Lee, Seungbum Hong, Jong Min Yuk*, and Chan-Woo Lee* Journal Batteries & Supercaps Vol e202400186 Year 2024 Link https://doi.org/10.1002/batt.202400186 1532회 연결 목록 이전글Composition and state prediction of lithium-ion cathode via convolutional neural network trained on scanning electron microscopy images 17.03.10 다음글Zn anode with hydrophobic and ferroelectric P(VDF-TrFE) layers for dendrite-free aqueous Zn-ion batteries 17.03.10