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Zachary Goodwin is a Glasstone Research Fellow in the Department of Materials at the University of Oxford. His research primarily focuses on theoretical simulation and the development of energy storage materials, including concentrated electrolytes and 2D materials. He employs first-principles methods to simulate materials, aiming to discover new effects and explain observations from experiments. Additionally, he has developed theories around electrolytes and the arrangement of electrified interfaces for applications in supercapacitors and batteries, as well as approaches for electronic structure calculations of magic-angle twisted bilayer graphene to understand broken symmetry phases. His work includes the application of machine learning methods to atomistic simulations, particularly in the investigation of solid electrolyte interphase formation in batteries and charge density waves in 2D materials. He is also involved in supervising new postgraduate research projects that explore machine learning simulations in the transport properties of high entropy liquid electrolytes.
Department of Politics and International Relations - Higher Level English requirement.