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Multiscale Modeling at the Interface of Molecular Mechanics and Natural Language through Attention Neural Networks

Accounts of chemical research, 2022-12, Vol.55 (23), p.3387-3403

Buehler, Markus J.

2022

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Modeling Atomistic Dynamic Fracture Mechanisms Using a Progressive Transformer Diffusion Model

Journal of applied mechanics, 2022-12, Vol.89 (12), p.121009-121009

Buehler, Markus J.

2022

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Nature Designs Tough Collagen: Explaining the Nanostructure of Collagen Fibrils

Proceedings of the National Academy of Sciences - PNAS, 2006-08, Vol.103 (33), p.12285-12290

Buehler, Markus J.

2006

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Hierarchically Enhanced Impact Resistance of Bioinspired Composites

Advanced materials (Weinheim), 2017-07, Vol.29 (28), p.n/a

2017

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Predicting mechanical fields near cracks using a progressive transformer diffusion model and exploration of generalization capacity

Journal of materials research, 2023-03, Vol.38 (5), p.1317-1331

Buehler, Markus J.

2023

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Understanding Plant Biomass via Computational Modeling

Advanced materials (Weinheim), 2021-07, Vol.33 (28), p.e2003206-n/a

2021

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Fill in the Blank: Transferrable Deep Learning Approaches to Recover Missing Physical Field Information

Advanced materials (Weinheim), 2023-06, Vol.35 (23), p.e2301449-n/a

2023

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From origami to materials informatics, to mollusc shells: Emerging topics of research

MRS bulletin, 2024, Vol.49 (1), p.7-11

Buehler, Markus J.

2024

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A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical metal metamaterials

Modelling and simulation in materials science and engineering, 2023-07, Vol.31 (5), p.54001

Buehler, Markus J

2023

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Multiscale materials innovation from the bottom up, at the nexus of biology, engineering, and computation

MRS bulletin, 2023-11, Vol.48 (11), p.1106-1109

Buehler, Markus J.

2023

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Multiscale Mechanics of Triply Periodic Minimal Surfaces of Three-Dimensional Graphene Foams

Nano letters, 2018-08, Vol.18 (8), p.4845-4853

2018

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End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures

Journal of the mechanics and physics of solids, 2021-09, Vol.154, p.104506, Article 104506

2021

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Artificial intelligence and machine learning in design of mechanical materials

Materials horizons, 2021-04, Vol.8 (4), p.1153-1172

2021

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Polydopamine and Eumelanin: From Structure–Property Relationships to a Unified Tailoring Strategy

Accounts of chemical research, 2014-12, Vol.47 (12), p.3541-3550

2014

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Nanomechanics of functional and pathological amyloid materials

Nature nanotechnology, 2011-07, Vol.6 (8), p.469-479

2011

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Hierarchical structure controls nanomechanical properties of vimentin intermediate filaments

PloS one, 2009-10, Vol.4 (10), p.e7294-e7294

2009

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Our first dedicated Impact issue: A snapshot of emerging original research

MRS bulletin, 2023, Vol.48 (1), p.6-7

Buehler, Markus J.

2023

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Polymorphic regenerated silk fibers assembled through bioinspired spinning

Nature communications, 2017-11, Vol.8 (1), p.1387-12, Article 1387

2017

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Mechanics and molecular filtration performance of graphyne nanoweb membranes for selective water purification

Nanoscale, 2013-12, Vol.5 (23), p.11801-11807

2013

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Multifunctionality and control of the crumpling and unfolding of large-area graphene

Nature materials, 2013-04, Vol.12 (4), p.321-325

2013

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Deep learning model to predict complex stress and strain fields in hierarchical composites

Science advances, 2021-04, Vol.7 (15)

2021

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Biopolymer nanofibrils: Structure, modeling, preparation, and applications

Progress in polymer science, 2018-10, Vol.85, p.1-56

2018

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Nanoconfinement controls stiffness, strength and mechanical toughness of β -sheet crystals in silk

Nature materials, 2010-04, Vol.9 (4), p.359-367

2010

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Hierarchical Structure and Nanomechanics of Collagen Microfibrils from the Atomistic Scale Up

Nano letters, 2011-02, Vol.11 (2), p.757-766

2011

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Geometry Controls Conformation of Graphene Sheets: Membranes, Ribbons, and Scrolls

ACS nano, 2010-07, Vol.4 (7), p.3869-3876

2010

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Multiscale Modeling at the Interface of Molecular Mechanics and Natural Language through Attention Neural Networks

Modeling Atomistic Dynamic Fracture Mechanisms Using a Progressive Transformer Diffusion Model

Nature Designs Tough Collagen: Explaining the Nanostructure of Collagen Fibrils

Hierarchically Enhanced Impact Resistance of Bioinspired Composites

Predicting mechanical fields near cracks using a progressive transformer diffusion model and exploration of generalization capacity

Understanding Plant Biomass via Computational Modeling

Fill in the Blank: Transferrable Deep Learning Approaches to Recover Missing Physical Field Information

From origami to materials informatics, to mollusc shells: Emerging topics of research

A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical metal metamaterials

Multiscale materials innovation from the bottom up, at the nexus of biology, engineering, and computation

Multiscale Mechanics of Triply Periodic Minimal Surfaces of Three-Dimensional Graphene Foams

End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures

Artificial intelligence and machine learning in design of mechanical materials

Polydopamine and Eumelanin: From Structure–Property Relationships to a Unified Tailoring Strategy

Nanomechanics of functional and pathological amyloid materials

Hierarchical structure controls nanomechanical properties of vimentin intermediate filaments

Our first dedicated Impact issue: A snapshot of emerging original research

Polymorphic regenerated silk fibers assembled through bioinspired spinning

Mechanics and molecular filtration performance of graphyne nanoweb membranes for selective water purification

Multifunctionality and control of the crumpling and unfolding of large-area graphene

Deep learning model to predict complex stress and strain fields in hierarchical composites

Biopolymer nanofibrils: Structure, modeling, preparation, and applications

Nanoconfinement controls stiffness, strength and mechanical toughness of β -sheet crystals in silk

Hierarchical Structure and Nanomechanics of Collagen Microfibrils from the Atomistic Scale Up

Geometry Controls Conformation of Graphene Sheets: Membranes, Ribbons, and Scrolls

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