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목록분류 전체보기 (356)
Engineering insight
이제까지 잘 쓰고있던 Agent가 갑자기 먹통이되었습니다.연결이 전혀 안된다기보다는, 요청을 간헐적으로 인식하거나 timeout 경고가 뜨더라구요 1. Something went wrong while processing your request. Please try again, or use /new to start a fresh session.2. The model did not produce a response before the model idle timeout. Please try again, or increase models.providers..timeoutSeconds for slow local or self-hosted providers. Openclaw도 지웠다깔고, OAuth도 재연결하고,..
How to determine the degradation modes of lithium-ion batteries with silicon-graphite blend electrodes저자: Mathias Rehm, Johannes Natterer, Josef Eizenhammer, Moritz Guenthner, Simon Kuecher, Can Korkmaz, Franz Roehrer, Andreas Jossen저널 / 상태: Journal of Power Sources (2026, published version), SSRN preprint also availableDOI: 10.1016/j.jpowsour.2026.239418보조 링크: SSRN preprint · GitHub: Degradatio..
Predicting Cycle Life for Lithium-Ion Batteries with Ternary Cathode Materials Using Data-Driven Machine Learning저널: ACS Omega (published 2025-10-26)저자: Long Li et al.식별자: DOI:10.1021/acsomega.5c09364원문: https://pmc.ncbi.nlm.nih.gov/articles/PMC12593148/Dense 5-line Summary이 논문은 NCA, NCM, NCM/NCA 혼합 삼원계 양극 리튬이온전지의 초기 사이클 데이터만으로 전체 수명(RUL/사이클 수명)을 예측할 수 있는지 비교형 ML 실험으로 검증합니다.입력은 초기 30~100사이클에서 뽑은..
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding저자: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova식별자: arXiv:1810.04805 / DOI: 10.48550/arXiv.1810.04805원문: https://arxiv.org/abs/1810.04805 BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingWe introduce a new language representation model called BERT, which stands for Bidi..
A room-temperature sodium–sulfur battery with high capacity and stable cycling performance카테고리: Battery저널: Nature Communications (2018)DOI: 10.1038/s41467-018-06443-3원문: https://www.nature.com/articles/s41467-018-06443-3 / PMC6155237 A room-temperature sodium–sulfur battery with high capacity and stable cycling performance - PMCDesign and characterization of the electrolytes In this study, multi..