Introducing Machine learning algorithms to calculate DMFT+DFT problems.

引入机器学习算法来计算 DMFT DFT 问题。

• 批准号: 2446531
• 金额: --
• 依托单位: King's College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2446531
• 关键词: Introducing; Machine; learning; algorithms; calculate

1) There is a paradigm shift in the group towards using machine learning algorithms to solve DMFT problems. This is being done to streamline the process one is required to go through to solve problems. This can be achieved by introducing a set of known solutions as training data 2) The monte carlo simulation of the J1J2 model is being used as a means to familarise myself with the physics and code that explains the frustrated ising model.

1)该小组正在转向使用机器学习算法来解决DMFT问题。这样做是为了简化解决问题所需的程序。这可以通过引入一组已知的解决方案作为训练数据来实现2）J1J2模型的蒙特卡洛模拟被用作熟悉解释沮丧伊辛模型的物理和代码的手段。