利用原子尺度建模设计和发现下一代电池材料 | Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials
Speakers
Dr. Lihua Chen
Dr. Garvit Agarwal
Abstract
Schrödinger 于3月10日举办“利用原子尺度建模设计和发现下一代电池材料”网络讲座，讨论如何通过分子模拟推动新型电池材料的开发。 本次网络讲座将为研发管理者、材料科学家和工程师提供以下内容：
- 基于物理建模的电池材料预测
- 自动化高通量模拟工作流程如何支持快速筛选新型电池候选材料
- 应用先进的神经网络力场准确预测电解质特性
On March 10th, Schrödinger presented a webinar titled, “Leveraging Atomic Scale Modeling for Design and Discovery of Next-Generation Battery Materials”. This webinar discussed how to drive the development of novel battery materials with molecular simulations.
Watch this webinar and learn:
- Predictive capabilities of physics-based modeling for battery materials
- How automated high throughput simulation workflows enable rapid screening of new battery material candidates
- Application of advanced neural network force fields for accurate electrolyte property prediction