I am a senior material engineer at Murata Manufacturing Co., Ltd. in Japan. I joined the Morris group in May 2019, my primary research interest is the application of various computational analysis methodologies such as structure prediction/searching, theoretical spectroscopy, and machine learning techniques to the development of lithium-ion batteries.

I am a postdoctoral researcher in the Morris group, visiting from the University of Cambridge (Prof. Clare Grey). My research interests centre around extending the lifetimes of electrode materials for Li-ion batteries and obtaining an atomistic understanding of charge transport in battery materials.

I am a Post doctoral Research Associate at the University of Cambridge jointly supervised by Prof. Clare Grey (U. Cambridge) and Dr. Andrew J. Morris (U. Birmingham) (April 2021- ), with particular interest field of first principles calculations of correlated materials. I am funded by the Battery Degradation project of The Faraday Institute. I finished my PhD in June 2018, working on first principles electronic structure study of novel phenomena in complex materials. I then worked as a Research Fellow for the Abdus Salam International Centre for Theoretical Physics (ICTP) till March 2019. During my time at ICTP I was the PI of a CINECA Class C project I-2DFM, and worked on the emerging field of 2D ferromagnets. Thereafter I worked as a Post Doctoral Fellow at the Graz University of Technology (TU Graz, April 2019- March 2021), where I had experience of working on strongly correlated physics from the perspectives of Dynamical Mean Field Theory. My current research interests involve understanding from the perspectives of strong correlations, the physics involved in degradation of Li ion batteries.

I am a Sims funded PhD student in the Morris Group, within Theory of Condensed Matter, Cambridge. My primary research interest is the application of symmetry to crystal structure prediction. My other research interest is matching electrodes to solid state electrolytes to ensure that a favorable interface is formed.

Before joining the Morris group I studied Natural Sciences, Physics, also in Cambridge.

My main research interest lies in the application of crystal structure prediction techniques to the characterisation of potential electrode materials for next-generation rechargable batteries. I work primarily on the development of methods and software tools to handle the large volume of relaxed structures generated by ab initio random structure searching (AIRSS) and related high-throughput methods, with an emphasis on energy storage applications. I develop two open source Python packages, matador and ilustrado. I am a member of the EPSRC CDT for Computational Methods for Materials Science based in the Theory of Condensed Matter group.

Prior to joining the group, I completed an MPhys in Physics with Theoretical Physics at the University of Manchester. I wrote my MPhys thesis on the electronic structure of defects in graphene/h-BN superlattices under the supervision of Prof Francisco Guinea. As an undergraduate, I spent two summers developing software vfmcpp to model the microscopic dynamics of vortices in superfluid helium supervised by Dr Paul Walmsley, and one summer working at the University of Nottingham in the group of Prof Elena Besley on nanotube-encapsulated buckyballs.

I am a PhD student in the Morris Group working in the School of Metallurgy and Materials at the University of Birmingham. I carry out DFT research on strongly correlated materials, focusing on metal-organic frameworks [such as CrCl2(pym)] and quantum spin liquids [such as Barlowite].

During my previous studies, I completed a Master’s Degree at the University of York in Theoretical Physics. My Master’s dissertation project focused on atomistic spin dynamics simulations of magnetoresistive random access memory.

I am a PhD student in the Morris Group working in the School of Metallurgy and Materials at The University of Birmigham. For the duration of my PhD I will be using the plane wave DFT package CASTEP for the purposes of computational structure prediction of energy materials.

I completed my MChem at the The University of Reading. At the end of my third year I was invited onto an EPSRC funded programme where I used nested sampling to calculate the thermodynamics of small water clusters under the supervision of Livia Bartók-Pártay. I later implemented nested sampling for my final year project titled “The validity of Embedded Atom and Modified Embedded Atom Models for describing the thermodynamics of bulk lithium”.

For more information see my ORCID

I am a former Nuclear Engineering student (MEng) at the University of Birmingham, now working towards my PhD.

My research focuses on machine learning potentials and their appliation in high throughput computational modelling of systems relevant to battery cell materials.

I am a PhD student under the EPSRC Centre for Doctoral Training in Topological Design at the University of Birmingham starting in 2021. Current research interests are the intersections of topology, density functional theory (DFT), and machine learning.

I did my MSc by Research in Physics at the University of Warwick, where I completed my thesis on GaAs work functions and the structural relaxations of Sb ultra-thin films on unreconstructed InAs(111)B via DFT. I finished my 5-year BSc degree in Applied Physics, with a specialization in Materials Physics, at the University of the Philippines Diliman. My undergraduate thesis focused on a DFT study of small molecule adsorption on graphene.

Previous DFT work utilized Quantum ESPRESSO. However, current work in my PhD will shift towards using CASTEP for electronic structure calculations.