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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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Developments in 4D-printing: a review on current smart materials, technologies, and applications

International journal of smart and nano materials, 2019-07, Vol.10 (3), p.205-224

2019

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Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning

Advanced science, 2020-03, Vol.7 (5), p.1902607-n/a

2020

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Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment

Materials horizons, 2018-01, Vol.5 (5), p.939-945

2018

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Bone-Inspired Materials by Design: Toughness Amplification Observed Using 3D Printing and Testing

Advanced engineering materials, 2016-08, Vol.18 (8), p.1354-1363

2016

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Printing nature: Unraveling the role of nacre's mineral bridges

Journal of the mechanical behavior of biomedical materials, 2017-12, Vol.76, p.135-144

2017

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Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems

Advanced science, 2023-06, Vol.10 (18), p.e2300439-n/a

2023

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Deep learning framework for material design space exploration using active transfer learning and data augmentation

npj computational materials, 2021-09, Vol.7 (1), p.1-7, Article 140

2021

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Physics-informed deep learning for digital materials

Theoretical and applied mechanics letters, 2021-01, Vol.11 (1), p.100220, Article 100220

2021

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Nano-topology optimization for materials design with atom-by-atom control

Nature communications, 2020-07, Vol.11 (1), p.3745-3745, Article 3745

2020

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Towards silent and efficient flight by combining bioinspired owl feather serrations with cicada wing geometry

Nature communications, 2024-05, Vol.15 (1), p.4337-4337, Article 4337

2024

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Investigation of mechanical properties and structural integrity of graphene aerogels via molecular dynamics simulations

Physical chemistry chemical physics : PCCP, 2023-08, Vol.25 (33), p.21897-21907

2023

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Ca2+-supplying black phosphorus-based scaffolds fabricated with microfluidic technology for osteogenesis

Bioactive materials, 2021-11, Vol.6 (11), p.4053-4064

2021

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Machine learning and experiments: A synergy for the development of functional materials

MRS bulletin, 2023, Vol.48 (2), p.142-152

2023

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Machine Learning-Based Detection of Graphene Defects with Atomic Precision

Nano-micro letters, 2020-09, Vol.12 (1), p.181-181, Article 181

2020

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Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach

Materials, 2021-09, Vol.14 (18), p.5378

2021

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Designing mechanically tough graphene oxide materials using deep reinforcement learning

npj computational materials, 2022-11, Vol.8 (1), p.1-9, Article 225

2022

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Tunable mechanical properties through texture control of polycrystalline additively manufactured materials using adjoint-based gradient optimization

Acta mechanica, 2018-10, Vol.229 (10), p.4033-4044

2018

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Prediction of composite microstructure stress-strain curves using convolutional neural networks

Materials & design, 2020-04, Vol.189, p.108509, Article 108509

2020

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Tuning the graphene mechanical anisotropy via defect engineering

Carbon (New York), 2019-12, Vol.155, p.697-705

2019

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4D Printing of Electroactive Materials

Advanced intelligent systems, 2021-12, Vol.3 (12), p.n/a

2021

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Deep Learning Accelerated Design of Mechanically Efficient Architected Materials

ACS applied materials & interfaces, 2023-05, Vol.15 (18), p.22543-22552

2023

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Generative machine learning algorithm for lattice structures with superior mechanical properties

Materials horizons, 2022-03, Vol.9 (3), p.952-96

2022

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Learning hidden elasticity with deep neural networks

Proceedings of the National Academy of Sciences - PNAS, 2021-08, Vol.118 (31), p.1

2021

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Data-driven airfoil shape optimization framework for enhanced flutter performance

Physics of fluids (1994), 2024-10, Vol.36 (10)

2024

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Hierarchically Enhanced Impact Resistance of Bioinspired Composites

Developments in 4D-printing: a review on current smart materials, technologies, and applications

Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning

Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment

Bone-Inspired Materials by Design: Toughness Amplification Observed Using 3D Printing and Testing

Printing nature: Unraveling the role of nacre's mineral bridges

Physics‐Informed Deep‐Learning For Elasticity: Forward, Inverse, and Mixed Problems

Deep learning framework for material design space exploration using active transfer learning and data augmentation

Physics-informed deep learning for digital materials

Nano-topology optimization for materials design with atom-by-atom control

Towards silent and efficient flight by combining bioinspired owl feather serrations with cicada wing geometry

Investigation of mechanical properties and structural integrity of graphene aerogels via molecular dynamics simulations

Ca2+-supplying black phosphorus-based scaffolds fabricated with microfluidic technology for osteogenesis

Machine learning and experiments: A synergy for the development of functional materials

Machine Learning-Based Detection of Graphene Defects with Atomic Precision

Modeling Bioinspired Fish Scale Designs via a Geometric and Numerical Approach

Designing mechanically tough graphene oxide materials using deep reinforcement learning

Tunable mechanical properties through texture control of polycrystalline additively manufactured materials using adjoint-based gradient optimization

Prediction of composite microstructure stress-strain curves using convolutional neural networks

Tuning the graphene mechanical anisotropy via defect engineering

4D Printing of Electroactive Materials

Deep Learning Accelerated Design of Mechanically Efficient Architected Materials

Generative machine learning algorithm for lattice structures with superior mechanical properties

Learning hidden elasticity with deep neural networks

Data-driven airfoil shape optimization framework for enhanced flutter performance

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