Artificial intelligence and machine learning in design of mechanical materials
Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering …
is becoming an important tool in the fields of materials and mechanical engineering …
A state-of-the-art review on machine learning-based multiscale modeling, simulation, homogenization and design of materials
Multiscale simulation and homogenization of materials have become the major
computational technology as well as engineering tools in material modeling and material …
computational technology as well as engineering tools in material modeling and material …
Deep learning model to predict complex stress and strain fields in hierarchical composites
Materials-by-design is a paradigm to develop previously unknown high-performance
materials. However, finding materials with superior properties is often computationally or …
materials. However, finding materials with superior properties is often computationally or …
Machine learning‐driven biomaterials evolution
Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to
achieve desired biological responses. While there is constant evolution and innovation in …
achieve desired biological responses. While there is constant evolution and innovation in …
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures
Due to the high demand for materials with superior mechanical properties and diverse
functions, designing composite materials is an integral part in materials development …
functions, designing composite materials is an integral part in materials development …
Biological material interfaces as inspiration for mechanical and optical material designs
The extraordinary properties of biological materials often result from their sophisticated
hierarchical structures. Through multilevel and cross-scale structural designs, biological …
hierarchical structures. Through multilevel and cross-scale structural designs, biological …
Pragmatic generative optimization of novel structural lattice metamaterials with machine learning
Metamaterials, otherwise known as architected or programmable materials, enable
designers to tailor mesoscale topology and shape to achieve unique material properties that …
designers to tailor mesoscale topology and shape to achieve unique material properties that …
Using deep learning to predict fracture patterns in crystalline solids
Fracture is a catastrophic process whose understanding is critical for evaluating the integrity
and sustainability of engineering materials. Here, we present a machine-learning approach …
and sustainability of engineering materials. Here, we present a machine-learning approach …
Hydration-induced reversible deformation of biological materials
The influx and efflux of water in biological structures actuates reversible deformation and
recovery processes that are crucial for mechanical functions in plants and animals. These …
recovery processes that are crucial for mechanical functions in plants and animals. These …