Genetic programming-assisted micromechanical models of graphene origami-enabled metal metamaterials
Graphene origami (GOri) enabled metallic metamaterials are novel nanomaterials
simultaneously possessing negative Poisson's ratio (NPR) and enhanced mechanical …
simultaneously possessing negative Poisson's ratio (NPR) and enhanced mechanical …
[HTML][HTML] A perspective on the microscopic pressure (stress) tensor: History, current understanding, and future challenges
The pressure tensor (equivalent to the negative stress tensor) at both microscopic and
macroscopic levels is fundamental to many aspects of engineering and science, including …
macroscopic levels is fundamental to many aspects of engineering and science, including …
Learning the stress-strain fields in digital composites using Fourier neural operator
Increased demands for high-performance materials have led to advanced composite
materials with complex hierarchical designs. However, designing a tailored material …
materials with complex hierarchical designs. However, designing a tailored material …
Grain Boundary Tailors the Local Chemical Environment on Iridium Surface for Alkaline Electrocatalytic Hydrogen Evolution
Even though grain boundaries (GBs) have been previously employed to increase the
number of active catalytic sites or tune the binding energies of reaction intermediates for …
number of active catalytic sites or tune the binding energies of reaction intermediates for …
Imaging of atomic stress at grain boundaries based on machine learning
The mechanical behaviors of crystalline materials, in particular the atomic scale deformation
and failure processes, are strongly influenced by the local atomic stress near crystalline …
and failure processes, are strongly influenced by the local atomic stress near crystalline …
Computing grain boundary “phase” diagrams
J Luo - Interdisciplinary Materials, 2023 - Wiley Online Library
Grain boundaries (GBs) can be treated as two‐dimensional (2‐D) interfacial phases (also
called “complexions”) that can undergo interfacial phase‐like transitions. As bulk phase …
called “complexions”) that can undergo interfacial phase‐like transitions. As bulk phase …
A machine learning–based framework for mapping hydrogen at the atomic scale
Hydrogen, the lightest and most abundant element in the universe, plays essential roles in a
variety of clean energy technologies and industrial processes. For over a century, it has …
variety of clean energy technologies and industrial processes. For over a century, it has …
Crack path predictions in heterogeneous media by machine learning
M Worthington, HB Chew - Journal of the Mechanics and Physics of Solids, 2023 - Elsevier
The interaction between stress fields at the crack-tip and nearby microstructural
heterogeneities influences the crack path, and in turn, the effective fracture toughness of a …
heterogeneities influences the crack path, and in turn, the effective fracture toughness of a …
A database construction method for data-driven computational mechanics of composites
A new method combining computational homogenization and the Artificial Neural Network
(ANN) is proposed to construct elastoplastic composites database efficiently for data-driven …
(ANN) is proposed to construct elastoplastic composites database efficiently for data-driven …
[HTML][HTML] Numerical and experimental crack-tip cohesive zone laws with physics-informed neural networks
The cohesive zone law represents the constitutive traction versus separation response
along the crack-tip process zone of a material, which bridges the microscopic fracture …
along the crack-tip process zone of a material, which bridges the microscopic fracture …