Killian Sheriff
Ph.D. candidate @ MIT DMSE
About me: I am a Ph.D. candidate in the Department of Materials Science and Engineering at MIT, advised by Prof. Rodrigo Freitas. Prior to MIT, I graduated with an BSc. in Mathematics and Physics from McGill University in 2021. I am originally from Cannes, a beautiful city nestled in the South of France.
Research interests: My research interests lie at the intersection of materials science, machine learning and mathematics. Broadly, I am interested in combining data science techniques with cross-scale atomistic simulations to unravel physical phenomenon at an unprecedented resolution. I also enjoy designing computational workflows facilitating the characterization and discovery of materials.
selected publications
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Quantifying chemical short-range order in metallic alloysProceedings of the National Academy of Sciences, 2024 -
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Chemical-motif characterization of short-range order with E(3)-equivariant graph neural networks2024
news
| Jun 13, 2024 | News: Our work got featured in MIT News, NSF Access, and 10+ news outlet. |
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| Jun 13, 2024 | Paper alert: Our work on Quantifying chemical short-range order in metallic alloys has been published in the Proceedings of the National Academy of Sciences (PNAS)! |
| May 28, 2024 | Thrilled to be joining Toyota Research Insitute as a Machine Learning for Molecular Dynamics Resarch Intern over the summer to work on the prediction of solid-state materials synthesis. |
| May 15, 2024 | Preprint alert: Our work on Chemical-motif characterization of short-range order with E(3)-equivariant graph neural networks is out on arXiv! |
| Jan 14, 2024 | Preprint alert: Our work on Capturing short-range order in high-entropy alloys with machine learning potentials is out on arXiv! |
| Nov 2, 2023 | Conference alert: I will be presenting our latest work at HEA 2023, MRS Fall 2023 and TMS 2024. Would love to chat if anyone is around! |
| Nov 1, 2023 | Preprint alert: Our work on Quantifying chemical short-range order in metallic alloys is out on arXiv! |
| Oct 1, 2023 | Code release: We released AtomisticReverseMonteCarlo, an Ovito python modifier that enables the generation of atomic systems matching a set of target Warren-Cowley parameters. |
| Sep 25, 2023 | Code release: We released WarrenCowleyParameters, an Ovito python modifier that enables the computation of Warren-Cowley parameters in atomistic simulations. |
| Feb 16, 2023 | I officially passed my Ph.D. qualifying exam! |
| Dec 1, 2022 | Our blog post on Demistifying E(3)-equivariant neural networks is out! |
| May 2, 2022 | Code release: I created LovelyPlots, a collection of matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator. |
| Sep 1, 2021 | I started my Ph.D. at the Massachusetts Institute of Technology. |