AI Techniques for Advanced Materials Design

人工智能(AI)是一项影响广泛而深刻的快速新兴技术。最近，在使用人工智能技术(如深度学习)加速和丰富材料发现过程方面取得了重大进展。这位博士将致力于进一步推动这些技术的边界，并将它们应用于世界领先的材料发现环境。特别关注的将是使用深度学习来建立物理性质的准确预测器，以及使用机器学习来融合来自模拟和实验的数据，以扩展现有的数据源。该项目将在位于达累斯伯里哈特里中心内的IBM英国研究中心工作至少6个月，该中心旨在通过加速采用高性能计算、大数据和认知技术来改变英国工业的竞争力。在该大学，学生将设在材料创新工厂(MIF)，这是一个新的GB 68 M研究设施，由MIF学术主任A.I.库珀·弗里斯教授监督。该项目由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信托基金资助的为期10年的新GB 10M活动。

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.