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

A deep learning approach to the inverse problem of modulus identification in elasticity

(2021) Bo Ni et al.   MRS BULLETIN

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

(2021) Zhenze Yang et al.   Science Advances

Improved protein structure prediction using potentials from deep learning

(2020) Andrew W. Senior et al.   NATURE

Mechanical MNIST: A benchmark dataset for mechanical metamodels

(2020) Emma Lejeune   Extreme Mechanics Letters

Damage-tolerant architected materials inspired by crystal microstructure

(2019) Minh-Son Pham et al.   NATURE

Applications of machine learning in drug discovery and development

(2019) Jessica Vamathevan et al.   NATURE REVIEWS DRUG DISCOVERY

A Self-Consistent Sonification Method to Translate Amino Acid Sequences into Musical Compositions and Application in Protein Design Using Artificial Intelligence

(2019) Chi-Hua Yu et al.   ACS Nano

Experimental and DFT study on the adsorption of VOCs on activated carbon/metal oxides composites

(2019) Ke Zhou et al.   CHEMICAL ENGINEERING JOURNAL

Electrochemically reconfigurable architected materials

(2019) Xiaoxing Xia et al.   NATURE

Sounds interesting: can sonification help us design new proteins?

(2019) Sebastian L. Franjou et al.   Expert Review of Proteomics

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

(2018) Han Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Inverse molecular design using machine learning: Generative models for matter engineering

(2018) Benjamin Sanchez-Lengeling et al.   SCIENCE

Optimization of Composite Fracture Properties: Method, Validation, and Applications

(2016) Grace X. Gu et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Structure and mechanics of interfaces in biological materials

(2016) Francois Barthelat et al.   Nature Reviews Materials

Additive manufacturing of multi-directional preforms for composites: opportunities and challenges

(2015) Zhenzhen Quan et al.   Materials Today

Deep learning

(2015) Yann LeCun et al.   NATURE

Micromechanics modeling of creep fracture of zirconium diboride–silicon carbide composites at 1400–1700°C

(2014) C.H. Yu et al.   JOURNAL OF THE EUROPEAN CERAMIC SOCIETY

Biological and Bioinspired Composites with Spatially Tunable Heterogeneous Architectures

(2013) André R. Studart   ADVANCED FUNCTIONAL MATERIALS

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

(2013) Anubhav Jain et al.   APL Materials