Zobrazeno 1 - 10
of 4 544
pro vyhledávání: '"Martin Z."'
Autor:
Xuekun Lu, Marco Lagnoni, Antonio Bertei, Supratim Das, Rhodri E. Owen, Qi Li, Kieran O’Regan, Aaron Wade, Donal P. Finegan, Emma Kendrick, Martin Z. Bazant, Dan J. L. Brett, Paul R. Shearing
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract The phase separation dynamics in graphitic anodes significantly affects lithium plating propensity, which is the major degradation mechanism that impairs the safety and fast charge capabilities of automotive lithium-ion batteries. In this st
Externí odkaz:
https://doaj.org/article/fc71a02753c34b9c8867751885fcffd0
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-11 (2023)
Abstract Phase separation during the lithiation of redox-active materials is a critical factor affecting battery performance, including energy density, charging rates, and cycle life. Accurate physical descriptions of these materials are necessary fo
Externí odkaz:
https://doaj.org/article/9a6a6f44fdd74e9dbe2dcd0c4406d17b
Autor:
Steven B. Torrisi, Martin Z. Bazant, Alexander E. Cohen, Min Gee Cho, Jens S. Hummelshøj, Linda Hung, Gaurav Kamat, Arash Khajeh, Adeesh Kolluru, Xiangyun Lei, Handong Ling, Joseph H. Montoya, Tim Mueller, Aini Palizhati, Benjamin A. Paren, Brandon Phan, Jacob Pietryga, Elodie Sandraz, Daniel Schweigert, Yang Shao-Horn, Amalie Trewartha, Ruijie Zhu, Debbie Zhuang, Shijing Sun
Publikováno v:
APL Machine Learning, Vol 1, Iss 2, Pp 020901-020901-11 (2023)
Machine learning (ML) is gaining popularity as a tool for materials scientists to accelerate computation, automate data analysis, and predict materials properties. The representation of input material features is critical to the accuracy, interpretab
Externí odkaz:
https://doaj.org/article/365358503b2c467dbae43bc88f59b30b
Publikováno v:
Electrochemistry Communications, Vol 149, Iss , Pp 107458- (2023)
Electrochemical impedance spectroscopy (EIS) is a powerful tool in characterisation of processes in electrochemical systems, allowing us to elucidate the resistance and characteristic frequency of physical properties such as reaction and transport ra
Externí odkaz:
https://doaj.org/article/d55e778033344754a7dfa3a44ef3ea56
Autor:
Inguva, Pavan K., Mukherjee, Saikat, Walker, Pierre J., Kanso, Mona A., Wang, Jie, Wu, Yanchen, Tenberg, Vico, Santra, Srimanta, Singh, Shalini, Kim, Shin Hyuk, Trout, Bernhardt L., Bazant, Martin Z., Myerson, Allan S., Braatz, Richard D.
Nucleic acids such as mRNA have emerged as a promising therapeutic modality with the capability of addressing a wide range of diseases. Lipid nanoparticles (LNPs) as a delivery platform for nucleic acids were used in the COVID-19 vaccines and have re
Externí odkaz:
http://arxiv.org/abs/2408.08577
Autor:
Schaeffer, Joachim, Lenz, Eric, Gulla, Duncan, Bazant, Martin Z., Braatz, Richard D., Findeisen, Rolf
Health monitoring, fault analysis, and detection are critical for the safe and sustainable operation of battery systems. We apply Gaussian process resistance models on lithium iron phosphate battery field data to effectively separate the time-depende
Externí odkaz:
http://arxiv.org/abs/2406.19015
This study uses advanced numerical methods to estimate the mean force potential (PMF) between charged, polarizable colloidal particles in dense electrolytes. We observe that when the Debye screening length, $\lambda_{\mathrm{D}}$, is below the hydrat
Externí odkaz:
http://arxiv.org/abs/2404.01512
Autor:
Juner Zhu, Ian Mathews, Dongsheng Ren, Wei Li, Daniel Cogswell, Bobin Xing, Tobias Sedlatschek, Sai Nithin R. Kantareddy, Mengchao Yi, Tao Gao, Yong Xia, Qing Zhou, Tomasz Wierzbicki, Martin Z. Bazant
Publikováno v:
Cell Reports Physical Science, Vol 2, Iss 8, Pp 100537- (2021)
Summary: E-mobility, especially electric cars, has been scaling up rapidly because of technological advances in lithium-ion batteries (LIBs). However, LIBs degrade significantly with service life cycles. With the current increase in the adoption of e
Externí odkaz:
https://doaj.org/article/8ece1b09910b438fadddc6c8641689d9