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 …
Recent progress in active mechanical metamaterials and construction principles
Active mechanical metamaterials (AMMs)(or smart mechanical metamaterials) that combine
the configurations of mechanical metamaterials and the active control of stimuli‐responsive …
the configurations of mechanical metamaterials and the active control of stimuli‐responsive …
Deep learning in mechanical metamaterials: from prediction and generation to inverse design
Mechanical metamaterials are meticulously designed structures with exceptional
mechanical properties determined by their microstructures and constituent materials …
mechanical properties determined by their microstructures and constituent materials …
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 …
Path planning strategies to optimize accuracy, quality, build time and material use in additive manufacturing: a review
Additive manufacturing (AM) is the process of joining materials layer by layer to fabricate
products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex …
products based on 3D models. Due to the layer-by-layer nature of AM, parts with complex …
3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies
The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …
democratization of patient-specific wearable devices and smart biomedical implants for …
Emerging 3D printing technologies for drug delivery devices: Current status and future perspective
Abstract The 'one-size-fits-all'approach followed by conventional drug delivery platforms
often restricts its application in pharmaceutical industry, due to the incapability of adapting to …
often restricts its application in pharmaceutical industry, due to the incapability of adapting to …
Harnessing 4D printing bioscaffolds for advanced orthopedics
The development of programmable functional biomaterials makes 4D printing add a new
dimension, time (t), based on 3D structures (x, y, z), therefore, 4D printed constructs could …
dimension, time (t), based on 3D structures (x, y, z), therefore, 4D printed constructs could …
Deep learning-accelerated designs of tunable magneto-mechanical metamaterials
Metamaterials are artificially structured materials with unusual properties, such as negative
Poisson's ratio, acoustic band gap, and energy absorption. However, metamaterials made of …
Poisson's ratio, acoustic band gap, and energy absorption. However, metamaterials made of …
Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
Shape transformations of active composites (ACs) depend on the spatial distribution of
constituent materials. Voxel-level complex material distributions can be encoded by 3D …
constituent materials. Voxel-level complex material distributions can be encoded by 3D …