Computational materials science PhD student at UC Berkeley, research intern at Google Brain. High-throughput screening and machine learning for materials.
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Univerity of California, Berkeley
- Berkeley, CA
- jdagdelen.github.io
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Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
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materialsproject/pymatgen Public
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials …
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hackingmaterials/atomate Public
atomate is a powerful software for computational materials science and contains pre-built workflows.
341 contributions in the last year
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March 2023
Created 7 commits in 1 repository
Created 2 repositories
- jdagdelen/dialogue-flow-ai Python
- jdagdelen/chessGPT Python
15
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Mar 1 – Mar 29