A deep learning augmented genetic algorithm approach to polycrystalline 2D material fracture discovery and design

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

(2021) Bo Ni et al.   MRS BULLETIN

Data-Driven Strategies for Accelerated Materials Design

(2021) Robert Pollice et al.   ACCOUNTS OF CHEMICAL RESEARCH

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

(2021) Zhenze Yang et al.   Science Advances

Deep learning model to predict fracture mechanisms of graphene

(2021) Andrew J. Lew et al.   npj 2D Materials and Applications

Designing and fabricating materials from fire using sonification and deep learning

(2021) Mario Milazzo et al.   iScience

Liquified protein vibrations, classification and cross-paradigm de novo image generation using deep neural networks

(2020) Markus J Buehler   Nano Futures

Designing optical glasses by machine learning coupled with a genetic algorithm

(2020) Daniel R. Cassar et al.   CERAMICS INTERNATIONAL

Polymer design using genetic algorithm and machine learning

(2020) Chiho Kim et al.   COMPUTATIONAL MATERIALS SCIENCE

Crack path-engineered 2D octet-truss lattice with bio-inspired crack deflection

(2020) Zhenyang Gao et al.   Additive Manufacturing

The machine learning revolution in materials?

(2019) Kristofer G. Reyes et al.   MRS BULLETIN

Can machine learning find extraordinary materials?

(2019) Steven K. Kauwe et al.   COMPUTATIONAL MATERIALS SCIENCE

Interlocking Friction Governs the Mechanical Fracture of Bilayer MoS2

(2018) Gang Seob Jung et al.   ACS Nano

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

(2018) Grace X. Gu et al.   Materials Horizons

Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases

(2015) K. Williams et al.   Journal of the Royal Society Interface

Deep learning

(2015) Yann LeCun et al.   NATURE

The size effect in mechanical properties of finite-sized graphene nanoribbon

(2013) Yanbiao Chu et al.   COMPUTATIONAL MATERIALS SCIENCE

Atomistic simulations of nanoindentation on the basal plane of crystalline molybdenum disulfide (MoS2)

(2013) J A Stewart et al.   MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING

Graphene Edge from Armchair to Zigzag: The Origins of Nanotube Chirality?

(2010) Yuanyue Liu et al.   PHYSICAL REVIEW LETTERS

Nanoengineering Heat Transfer Performance at Carbon Nanotube Interfaces

(2009) Zhiping Xu et al.   ACS Nano

A molecular dynamics study of the mechanical properties of hydrogen functionalized graphene

(2009) Q.X. Pei et al.   CARBON

Size and Chirality Dependent Elastic Properties of Graphene Nanoribbons under Uniaxial Tension

(2009) H. Zhao et al.   NANO LETTERS

Formation of multiwall fullerenes from nanodiamonds studied by atomistic simulations

(2009) Jan H. Los et al.   PHYSICAL REVIEW B

Parametrization of a reactive many-body potential for Mo–S systems

(2009) Tao Liang et al.   PHYSICAL REVIEW B

The Automation of Science

(2009) Ross D. King et al.   SCIENCE