Anas Siddiqui
PhD Title: 2D Material Heterostructures and novel Twistronic Devices
PhD Supervisor: Prof. Nick Hine
Background
Before coming to 糖心TV for my Ph.D. studies, I completed a B.Tech in Material Science and Engineering from Indian Institute of Technology Kanpur and an MSc in Advanced Materials Science and Engineering from Imperial College London. During my time at Imperial, I was involved in computational research under Prof. Arash Mostofi as part of my Master's project. The project dealt with making the prediction of the color of organic dyes using theory and simulation computationally less expensive while maintaining accuracy.
| Year | Award | Institution | Result |
| 2021-2025 | PhD Physics | University of 糖心TV | Pending |
| 2021-2022 | PGDip Modelling of Heterogeneous Systems | University of 糖心TV | Distinction |
| 2018-2019 | MSc Advanced Materials Science and Engineering | Imperial College London | Distinction |
| 2014-2018 | BTech Materials Science and Engineering | Indian Institute of Technology Kanpur | First Class |
Current Research
This project explores the exciting and novel physics of multilayer structures built from 2D materials. 2DMs can undergo dramatic changes in their fundamental physical properties when they are combined into heterostructures, particularly if their lattices are misaligned: an example is how graphene becomes superconducting when the alignment of two layers is 鈥渢wisted鈥� by specific angles of a few degrees.
Publications
- S. J. Magorrian, A. Siddiqui, and N. D. M. Hine, Strong atomic reconstruction in twisted bilayers of highly flex-
ible InSe: Machine-learned interatomic potential and continuum model approaches (2024), - Siddiqui, A., Hine, N.D.M. Machine-learned interatomic potentials for transition metal dichalcogenide Mo1鈭�xWxS2鈭�2ySe2y alloys. .
Conferences
- "Understanding Domain Reconstruction of Twisted Bilayer and Heterobilayer Transition Metal Dichalcogenides through Machine-Learned Interatomic Potentials", Flatlands beyond Graphene 2024, Wroclaw, Poland, September 2024. Contributed Talk.
- "Machine-Learned Interatomic Potentials for Transition Metal Dichalcogenide Mo1鈭掟潙�W饾懃S2鈭�2饾懄Se2饾懄 Alloys鈥�, AI4AM 2024, Barcelona, Spain, July 2024. Contributed Talk.
- "Machine-Learned Interatomic Potentials for Transition Metal Dichalcogenide Mo1鈭掟潙�W饾懃S2鈭�2饾懄Se2饾懄 Alloys鈥�, Flatlands beyond Graphene 2023, Prague, Czech Republic, September 2023. Contributed Poster.
- "Machine-Learned Interatomic Potentials for Transition Metal Dichalcogenide Mo1鈭掟潙�W饾懃S2鈭�2饾懄Se2饾懄 Alloys鈥�, GAP/(M)ACE Developers and Users Meeting 2023, Coventry, United Kingdom, September 2023. Contributed Talk.
