[HTML][HTML] Making sustainable aluminum by recycling scrap: The science of “dirty” alloys

D Raabe, D Ponge, PJ Uggowitzer, M Roscher… - Progress in materials …, 2022 - Elsevier
There are several facets of aluminum when it comes to sustainability. While it helps to save
fuel due to its low density, producing it from ores is very energy-intensive. Recycling it shifts …

Machine learning accelerates the materials discovery

J Fang, M **e, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …

[HTML][HTML] Machine learning assisted design of aluminum-lithium alloy with high specific modulus and specific strength

H Li, X Li, Y Li, W **ao, K Wen, Z Li, Y Zhang, B **ong - Materials & Design, 2023 - Elsevier
Advanced aluminum-lithium alloys are the key structural materials urgently needed for the
development of light-weighted aircraft in the aerospace field. In this study, we employ a …

[HTML][HTML] Knowledge-aware design of high-strength aviation aluminum alloys via machine learning

J Yong-fei, N Guo-shuai, Y Yang, D Yong-bing… - Journal of Materials …, 2023 - Elsevier
The development of the aviation industry is accompanied by the continuous research of high-
performance aviation aluminum alloys. Stuck in vast untapped composition space and the …

Machine learning elastic constants of multi-component alloys

V Revi, S Kasodariya, A Talapatra, G Pilania… - Computational Materials …, 2021 - Elsevier
The present manuscript explores application of machine learning methods for determining
elastic constants and other derived mechanical properties of multi-component alloys. A …

[HTML][HTML] Machine learning-based forward and inverse designs for prediction and optimization of fracture toughness of aluminum alloy

JF Fatriansyah, MRR Satrio, A Federico, I Suhariadi… - Results in …, 2024 - Elsevier
Utilization of machine learning framework to design aluminum alloy with high fracture
toughness is increasing. Nonetheless, before such model can be applied, the …

Unsupervised machine learning discovers classes in aluminium alloys

N Bhat, AS Barnard, N Birbilis - Royal Society Open …, 2023 - royalsocietypublishing.org
Aluminium (Al) alloys are critical to many applications. Although Al alloys have been
commercially widespread for over a century, their development has predominantly taken a …

[HTML][HTML] Data-driven design of biometric composite metamaterials with extremely recoverable and ultrahigh specific energy absorption

Z Gao, H Wang, N Letov, YF Zhao, X Zhang… - Composites Part B …, 2023 - Elsevier
The existing mechanical metamaterials are often designed with periodic inter-connected
structs with simple cylindrical or uniform hierarchical geometries, which relies on their parent …

[PDF][PDF] Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques

W Yi, G Liu, J Gao, L Zhang - Journal of Materials Informatics, 2021 - academia.edu
Casting aluminum alloys are commonly used in industries due to their excellent
comprehensive performance. Alloying/microalloying and post-solidification heat treatments …

Recent progress in creep-resistant aluminum alloys for diesel engine applications: a review

RI Arriaga-Benitez, M Pekguleryuz - Materials, 2024 - mdpi.com
Diesel engines in heavy-duty vehicles are predicted to maintain a stable presence in the
future due to the difficulty of electrifying heavy trucks, mine equipment, and railway cars. This …