Data‐Driven Design for Metamaterials and Multiscale Systems: A Review
Metamaterials are artificial materials designed to exhibit effective material parameters that
go beyond those found in nature. Composed of unit cells with rich designability that are …
go beyond those found in nature. Composed of unit cells with rich designability that are …
Unleashing the power of artificial intelligence in materials design
The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …
the field of materials engineering thanks to their power to predict material properties, design …
Programming 3D curved mesosurfaces using microlattice designs
Cellular microstructures form naturally in many living organisms (eg, flowers and leaves) to
provide vital functions in synthesis, transport of nutrients, and regulation of growth. Although …
provide vital functions in synthesis, transport of nutrients, and regulation of growth. Although …
[HTML][HTML] Graph-based metamaterials: Deep learning of structure-property relations
The effective properties of metamaterials are tailored through the design of their internal
structures. According to their main building block, the family of porous three-dimensional …
structures. According to their main building block, the family of porous three-dimensional …
Generative modeling, design, and analysis of spider silk protein sequences for enhanced mechanical properties
Spider silks are remarkable materials characterized by superb mechanical properties such
as strength, extensibility, and lightweightedness. Yet, to date, limited models are available to …
as strength, extensibility, and lightweightedness. Yet, to date, limited models are available to …
Fill in the blank: transferrable deep learning approaches to recover missing physical field information
Z Yang, MJ Buehler - Advanced Materials, 2023 - Wiley Online Library
Solving materials engineering tasks is often hindered by limited information, such as in
inverse problems with only boundary data information or design tasks with a simple …
inverse problems with only boundary data information or design tasks with a simple …
Origami Metamaterials Enable Low-Stress-Driven Giant Elastocaloric Effect
Elastocaloric materials, capable of achieving reversible thermal changes in response to a
uniaxial stress, have attracted considerable attention for applications in advanced thermal …
uniaxial stress, have attracted considerable attention for applications in advanced thermal …
Study of Friction and Wear Behavior of Graphene‐Reinforced AA7075 Nanocomposites by Machine Learning
In this research, the friction and wear of AA7075 nanocomposites reinforced with graphene
and graphite were studied. Graphene's inclusion dramatically enhanced the material's …
and graphite were studied. Graphene's inclusion dramatically enhanced the material's …
Differentiable graph-structured models for inverse design of lattice materials
D Dold, DA van Egmond - Cell Reports Physical Science, 2023 - cell.com
Architected materials possessing physico-chemical properties adaptable to disparate
environmental conditions embody a disruptive new domain of materials science. Fueled by …
environmental conditions embody a disruptive new domain of materials science. Fueled by …
Decoding the origins of strength anisotropy in two-dimensional materials
Defects are inevitable in two-dimensional (2D) materials, which is widely recognized to
affect the strength of 2D materials. It is known the uniaxial tension strength is significantly …
affect the strength of 2D materials. It is known the uniaxial tension strength is significantly …