State-of-the-art review on various applications of machine learning techniques in materials science and engineering
BW Yu, LQ Zhang, X Ye, Y Wang, HY Ying… - Chemical Engineering …, 2024 - Elsevier
Materials are the foundation of economy, and the development of novel materials is
essential to the growth of contemporary science and technological innovation. The …
essential to the growth of contemporary science and technological innovation. The …
Current Progress in Aqueous Corrosion of Multi-Principal Element Alloys
While multi-principal element alloys (MPEAs) remain a promising class of materials owing to
several attractive mechanical properties, their corrosion performance is also unique. In this …
several attractive mechanical properties, their corrosion performance is also unique. In this …
Inverse design of aluminium alloys using genetic algorithm: a class-based workflow
The design of aluminium alloys often encounters a trade-off between strength and ductility,
making it challenging to achieve desired properties. Adding to this challenge is the broad …
making it challenging to achieve desired properties. Adding to this challenge is the broad …
Machine Learning Prediction of the Corrosion Rate of Zinc-Based Alloys Containing Copper, Lithium, Magnesium, and Silver
A Davletshin, EA Korznikova… - The Journal of Physical …, 2024 - ACS Publications
Implementation of machine learning (ML) techniques in materials science often requires
large data sets. However, a proper choice of features and regression methods allows the …
large data sets. However, a proper choice of features and regression methods allows the …
A machine learning method based on TPE-XGBoost model for TRIP/TWIP near-β titanium alloy design
Z Wang, H Zhang, S Wang, J Cheng, C Wang… - Materials Today …, 2024 - Elsevier
The traditional design method for TRIP/TWIP near-β titanium alloys is time-consuming and
expensive. This paper proposes a machine-learning design method for a near-β titanium …
expensive. This paper proposes a machine-learning design method for a near-β titanium …
Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications
In the quest for materials that can withstand the rigors of modern engineering applications,
high-entropy alloys (HEAs) have emerged as a frontier in material science owing to their …
high-entropy alloys (HEAs) have emerged as a frontier in material science owing to their …
Multi-objective Optimization-Oriented Generative Adversarial Design for Multi-principal Element Alloys
Z Li, N Birbilis - Integrating Materials and Manufacturing Innovation, 2024 - Springer
The discovery of novel alloys, such as multi-principal element alloys (MPEAs)—inclusive of
the so-called high-entropy alloys—remains essential for technological advancement. Multi …
the so-called high-entropy alloys—remains essential for technological advancement. Multi …
Current progress in corrosion of multi principal element alloys
Whilst multi-principal element alloys (MPEAs) remain a promising class of materials owing to
several attractive mechanical properties, their corrosion performance is also unique. In this …
several attractive mechanical properties, their corrosion performance is also unique. In this …