AI Techniques for Advanced Materials Design

先进材料设计的人工智能技术

• 批准号: 2297746
• 金额: --
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2297746
• 关键词: AI; Techniques; Advanced; Materials; Design

Artificial Intelligence (AI) is a rapidly emerging technology with a wide and deep impact. Recently, there have been significant steps forwards in the use of AI techniques, such as Deep Learning, for the acceleration and enrichment of the materials discovery process. This PhD will work towards further pushing the boundaries of these techniques and applying them in a world-leading materials discovery environment. Particular focus will be on using deep learning to build accurate predictors of physical properties, and on using machine learning to fuse data from simulations and experiments to expand on existing data sources. This studentship will be based for at least 6 months at IBM Research UK within the Hartree Center in Daresbury, which was established to transform the competitiveness of UK industry by accelerating the adoption of High Performance Computing, Big Data and Cognitive technologies. At the University, the studentship will be based in the Materials Innovation Factory (MIF), a new £68 M research facility, supervised by Prof. A. I. Cooper FRS, the MIF Academic Director. The studentship is funded by EPSRC but will also form a part of the Leverhulme Research Centre for Functional Materials Design, a new £10 M, 10-year activity funded by the Leverhulme Trust.

人工智能（AI）是一项迅速兴起的技术，具有广泛而深刻的影响。最近，深度学习等人工智能技术的使用在加速和丰富材料发现过程方面取得了重大进展。该博士将致力于进一步突破这些技术的界限，并将其应用到世界领先的材料发现环境中。特别关注的是使用深度学习来构建物理特性的准确预测器，以及使用机器学习来融合来自模拟和实验的数据以扩展现有数据源。该学生奖学金将在达斯伯里 Hartree 中心的 IBM 英国研究中心工作至少 6 个月，该中心的成立是为了通过加速高性能计算、大数据和认知技术的采用来改变英国工业的竞争力。在大学，学生奖学金将设在材料创新工厂 (MIF)，这是一个价值 6800 万英镑的新研究设施，由 MIF 学术主任 A. I. Cooper FRS 教授监督。该学生奖学金由 EPSRC 资助，但也将成为 Leverhulme 功能材料设计研究中心的一部分，这是一项由 Leverhulme Trust 资助的新项目，耗资 1000 万英镑，为期 10 年。