Friction stir based welding, processing, extrusion and additive manufacturing
Friction stir welding and processing enabled the creation of stronger joints, novel ultrafine-
grained metals, new metal matrix composites, and multifunctional surfaces at user-defined …
grained metals, new metal matrix composites, and multifunctional surfaces at user-defined …
[HTML][HTML] Advances in hydrogen storage materials: harnessing innovative technology, from machine learning to computational chemistry, for energy storage solutions
The demand for clean and sustainable energy solutions is escalating as the global
population grows and economies develop. Fossil fuels, which currently dominate the energy …
population grows and economies develop. Fossil fuels, which currently dominate the energy …
[HTML][HTML] Advances and opportunities in high-throughput small-scale mechanical testing
The quest for novel materials used in technologies demanding extreme performance has
been accelerated by advances in computational materials screening, additive manufacturing …
been accelerated by advances in computational materials screening, additive manufacturing …
The materials tetrahedron has a “digital twin”
For over three decades, the materials tetrahedron has captured the essence of materials
science and engineering with its interdependent elements of processing, structure …
science and engineering with its interdependent elements of processing, structure …
Autonomous research and development of structural materials–An introduction and vision
DB Miracle, DJ Thoma - Current Opinion in Solid State and Materials …, 2024 - Elsevier
Blending artificial intelligence and automation enables the new field of autonomous
research and development for materials science. A recent review of this still new field was …
research and development for materials science. A recent review of this still new field was …
Charged particles: Unique tools to study irradiation resistance of concentrated solid solution alloys
Many multicomponent concentrated solid solution alloys (CSAs), including high-entropy
alloys (HEAs), exhibit improved radiation resistance and enhanced structural stability in …
alloys (HEAs), exhibit improved radiation resistance and enhanced structural stability in …
A high-throughput method to define additive manufacturing process parameters: Application to Haynes 282
Z Islam, AK Agrawal, B Rankouhi, C Magnin… - … Materials Transactions A, 2022 - Springer
This paper demonstrates how an analytical and experimental method can be used to rapidly
define the additive manufacturing settings for a new alloy where the process parameters …
define the additive manufacturing settings for a new alloy where the process parameters …
[HTML][HTML] Navigating the BCC-B2 refractory alloy space: Stability and thermal processing with Ru-B2 precipitates
Refractory multi-principal element alloys (RMPEAs) could provide next-generation high
temperature alloys, but their ductility and high temperature strength need significant …
temperature alloys, but their ductility and high temperature strength need significant …
Directed energy deposition combining high-throughput technology and machine learning to investigate the composition-microstructure-mechanical property …
F Zhang, K Huang, K Zhao, H Tan, Y Li, Y Qiu… - Journal of Materials …, 2023 - Elsevier
Traditional approaches to alloy design, such as" trial-and-error" experiments, are costly and
time-consuming in developing titanium alloys (and other alloys as well) for various …
time-consuming in developing titanium alloys (and other alloys as well) for various …
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures
A Jain, E Haghighat, S Nelaturi - Engineering with Computers, 2024 - Springer
This study introduces a two-scale graph neural operator (GNO), namely, LatticeGraphNet
(LGN), designed as a surrogate model for costly nonlinear finite-element simulations of three …
(LGN), designed as a surrogate model for costly nonlinear finite-element simulations of three …