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Nature Materials|March 16, 2010
Nanoconfinement controls stiffness, strength and mechanical toughness of beta-sheet crystals in silkSinan Keten, Zhiping Xu, Britni Ihle, et al.Nature Communications|September 24, 2016
Intercalated water layers promote thermal dissipation at bio-nano interfacesYanlei Wang, Zhao Qin, Markus J Buehler, et al.Journal of the Mechanical Behavior of Biomedical Materials|July 25, 2009
Nanomechanics of collagen fibrils under varying cross-link densities: atomistic and continuum studiesMarkus J BuehlerPatterns (New York, N.Y.)|March 24, 2023
Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designsMarkus J BuehlerJournal of Applied Mechanics|November 17, 2022
Modeling Atomistic Dynamic Fracture Mechanisms Using a Progressive Transformer Diffusion ModelMarkus J BuehlerProceedings of the National Academy of Sciences of the United States of America|August 10, 2006
Nature designs tough collagen: explaining the nanostructure of collagen fibrilsMarkus J BuehlerOxford Open Materials Science|February 9, 2023
Generating 3D architectured nature-inspired materials and granular media using diffusion models based on language cuesMarkus J BuehlerJournal of the Mechanical Behavior of Biomedical Materials|January 26, 2011
Multiscale aspects of mechanical properties of biological materialsMarkus J BuehlerMRS Bulletin|October 29, 2013
Materials by Design-A Perspective From Atoms to StructuresMarkus J BuehlerMaterials Advances|August 18, 2022
Prediction of atomic stress fields using cycle-consistent adversarial neural networks based on unpaired and unmatched sparse datasetsMarkus J BuehlerPageof 53