My research uses solid state physics, quantum chemistry and high-perforance computing to investigate why particular materials can efficiently generate energy from sunlight (solar cells), or repeatedly store and release energy (rechargeable batteries). I am an Assistant Professor at 51 and a Fellow of the . I was previously a PhD student and post-doc in the Materials Design Group at Imperial College London, where I was awarded the Thomas Young Centre at Imperial award for my thesis "Defects and distortions in hybrid halide perovskites".
I am a qualified teacher in post-compulsory education and currently teach computational physics and research computing skills at UG and PG level. I am a topic editor at the , and have a broader interest in how we can improve research practice in the computational sciences - with a focus on working openly and software publishing. My research is supported by the , where I serve as a committee member.
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My research interests are centred around materials used for renewable energy generation (e.g. solar cells) and storage (e.g. reusable batteries). I use a branch of physics called Density Functional Theory (DFT) to predict the properties of these materials and link the macroscopic observables (such as open circuit voltage or thermodynamic stability) with microscopic processes (such as electron capture or electron-phonon coupling).
DFT is anab-initio(first-principles) method derived from quantum mechanics and can be used to predict material properties without experimental input (see, for example,). Our atomic scale models can be used to rationalise existing experimental observations, or guide future investigations. For example, it canor.
When DFT is applied to crystalline materials it is usually assumed that there is perfect translational symmetry - that there are no defects (missing or extra atoms) - and that the atoms are perfectly static. However a material always has defects (these are unavoidable due to the laws of thermodynamics [1]), and the atomic lattice vibrates with heat. These defects and vibrations are important to understand because they can have a significant impact upon the performance of a device. My research has focused on the defects and lattice distortions in halide and chalcogenide perovskite materials, a family of materials that have become incredibly popular over the last decade as they can convert sunlight into electricity efficiently, and have the potential to form more flexible, lightweight and cheaper solar panels than those currently on the market.
Prakriti Kayastha Atomistic modelling of chalcogenide materials for energy applications Start Date: 01/10/2021
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