Markus J. Buehler
Affiliations: | Civil and Environmental Engineering | Massachusetts Institute of Technology, Cambridge, MA, United States |
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"Markus Buehler"Parents
Sign in to add mentor| Huajian Gao | grad student | Brown (Physics Tree) | |
| William A. Goddard | post-doc | Caltech (Chemistry Tree) |
Children
Sign in to add trainee| Sinan Keten | grad student | (Chemistry Tree) | |
| Francisco J. Martin-Martinez | grad student | ||
| Zhao Qin | grad student | 2008-2013 | MIT (Neurotree) |
| Mario Milazzo | post-doc | 2017- | MIT (Robotree) |
| Seunghwa Ryu | post-doc | 2012-2013 | MIT (Physics Tree) |
| Zhao Qin | post-doc | 2013-2013 | MIT (Neurotree) |
| Jingjie Yeo | post-doc | 2016-2018 | MIT |
| Zhao Qin | research scientist | 2013-2019 | MIT (Neurotree) |
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Publications
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| Ni B, Kaplan DL, Buehler MJ. (2023) ForceGen: End-to-end protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model. Arxiv |
| Ni B, Kaplan DL, Buehler MJ. (2023) Generative design of proteins based on secondary structure constraints using an attention-based diffusion model. Chem. 9: 1828-1849 |
| Khare E, Peng X, Martín-Moldes Z, et al. (2023) Application of the Interagency and Modeling Analysis Group Model Verification Approach for Scientific Reproducibility in a Study of Biomineralization. Acs Biomaterials Science & Engineering |
| Milazzo M, Fitzpatrick V, Owens CE, et al. (2023) 3D Printability of Silk/Hydroxyapatite Composites for Microprosthetic Applications. Acs Biomaterials Science & Engineering |
| Shen SC, Khare E, Lee NA, et al. (2023) Computational Design and Manufacturing of Sustainable Materials through First-Principles and Materiomics. Chemical Reviews |
| Nepal D, Kang S, Adstedt KM, et al. (2022) Hierarchically structured bioinspired nanocomposites. Nature Materials |
| Khare E, Yu CH, Gonzalez Obeso C, et al. (2022) Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation. Proceedings of the National Academy of Sciences of the United States of America. 119: e2209524119 |
| Khare E, Gonzalez-Obeso C, Kaplan DL, et al. (2022) CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach. Acs Biomaterials Science & Engineering |
| López Barreiro D, Martín-Moldes Z, Blanco Fernández A, et al. (2022) Molecular simulations of the interfacial properties in silk-hydroxyapatite composites. Nanoscale. 14: 10929-10939 |
| Yu CH, Chen W, Chiang YH, et al. (2022) End-to-End Deep Learning Model to Predict and Design Secondary Structure Content of Structural Proteins. Acs Biomaterials Science & Engineering |