加入支持让我们有继续维护的动力!会员畅享查看所有预告
立即购买
英国兰卡斯特大学花枭博士学术报告
- 来源:
- 学校官网
- 收录时间:
- 2025-03-17 11:32:46
- 时间:
- 2025-03-10 11:00:00
- 地点:
- A校区综合实验大楼319会议室
- 报告人:
- 花枭 博士
- 学校:
- -/-
- 关键词:
- lithium-ion battery,big data approach,pair distribution function,electrode materials,energy storage
- 简介:
- Binary fluoride cathodes and oxide anodes are desirable electrode candidates for future lithium-ion battery technologies. However, upon cycling, these electrode materials undergo phase heterogeneous reactions. The study using pair distribution function (PDF) technique combined with a modern big data approach provides new mechanistic insights into these electrode materials.
- -/- 32
报告介绍:
Binary fluoride cathodes and oxide anodes are desirable electrode candidates for future lithium-ion battery technologies. However, upon cycling, these electrode materials undergo phase heterogeneous reactions, involving intermediates that are either amorphous or with structural defects. These structural complexities render the characterization of these systems using conventional techniques difficult. To combat this challenge, I will present a methodology that centers on the pair distribution function (PDF) technique in combination with a modern big data approach. This methodology allows for multiphase deconvolution in the absence of any prior knowledge of the battery chemistry and is hence ideal to study complex electrochemical phase evolutions. The result of this study showed new mechanistic insights into these electrode materials that challenge our common understanding, helping to direct future efforts towards better material design for improved device performances. The methodology developed here also offers promising prospects in fields beyond energy storage.
报告人介绍:
花枭博士目前是英国兰卡斯特大学Lecturer。他于2008年获得复旦大学学士学位,硕士就读于美国纽约州立大学石溪分校,他在剑桥大学的Dame Clare Grey教授的指导下获得了关于新型电池电极材料的博士学位。