:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shargh, A. K., Stiles, C. D., El-Awady, J. A.
Format:	Preprint
Published:	2026
Subjects:	Materials Science
Online Access:	https://arxiv.org/abs/2604.18322
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temperature-dependent discovery of BCC refractory multi-principal element alloys: Integrating deep learning and CALPHAD calculations
by: Shargh, A. K., et al.
Published: (2024)

Deep Learning Accelerated Phase Prediction of Refractory Multi-Principal Element Alloys
by: Shargh, A. K., et al.
Published: (2024)

Effect of ice nucleating proteins on the structure-property relationships of ice: A molecular dynamics study
by: Shargh, A. K., et al.
Published: (2025)

A Statistical Perspective for Predicting the Strength of Metals: Revisiting the Hall-Petch Relationship using Machine Learning
by: Gu, Yejun, et al.
Published: (2022)

Deep learning accelerated the discovery of multi‐principal element alloys with various strength‐toughness trade‐offs
by: Chunhui Fan, et al.
Published: (2025)

Composition based machine learning to predict phases & strength of refractory high entropy alloys
by: Iyengar, M. Sreenidhi, et al.
Published: (2025)

Atomistic and data-driven insights into the local slip resistances in random refractory multi-principal element alloys
by: Jian, Wu-Rong, et al.
Published: (2026)

Current progress in corrosion of multi principal element alloys
by: Ghorbani, M., et al.
Published: (2024)

From Papers to Property Tables: A Priority-Based LLM Workflow for Materials Data Extraction
by: Rameshbabu, Koushik, et al.
Published: (2026)

Diffusion coefficients of multi-principal element alloys from first principles
by: Lee, Damien K. J., et al.
Published: (2026)

Efficient small-cell sampling for machine-learning potentials of multi-principal element alloys
by: Liu, Yan, et al.
Published: (2025)

Ubiquitous short-range order in multi-principal element alloys
by: Han, Ying, et al.
Published: (2024)

VAE for Modified 1-Hot Generative Materials Modeling, A Step Towards Inverse Material Design
by: El-Awady, Khalid
Published: (2023)

Nine-element machine-learned interatomic potentials for multiphase refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2026)

Decoding the hidden dynamics of super-Arrhenius hydrogen diffusion in multi-principal element alloys via machine learning
by: Shuang, Fei, et al.
Published: (2024)

A survey of energies from pure metals to multi-principal element alloys
by: Chen, Ruitian, et al.
Published: (2024)

Machine learning descriptors for predicting the high temperature oxidation of refractory complex concentrated alloys
by: Bejjipurapu, Akhil, et al.
Published: (2025)

Understanding the phase stability in multi-principal-component AlCuFeMn alloy
by: Swarnakar, Palash, et al.
Published: (2024)

Tuning chemical short-range order for stainless behavior at reduced chromium concentrations in multi-principal element alloys
by: Blades, W. H., et al.
Published: (2024)

Short-range order and its impacts on the BCC NbMoTaW multi-principal element alloy by the machine-learning potential
by: Santos-Florez, Pedro A., et al.
Published: (2022)

A simple model for short-range ordering kinetics in multi-principal element alloys
by: Abu-Odeh, Anas, et al.
Published: (2024)

Composition design of refractory compositionally complex alloys using machine learning models
by: Liang, Tao, et al.
Published: (2026)

Uncertainty-Aware Machine-Learning Framework for Predicting Dislocation Plasticity and Stress-Strain Response in FCC Alloys
by: Luo, Jing, et al.
Published: (2025)

Machine learning‐based research of new refractory high‐entropy alloys using guided multiobjectives search strategy
by: Gang Xu, et al.
Published: (2025)

Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys
by: Byggmästar, Jesper, et al.
Published: (2024)

Self-supervised learning for crystal property prediction via denoising
by: New, Alexander, et al.
Published: (2024)

Accelerating active learning materials discovery with FAIR data and workflows: a case study for alloy melting temperatures
by: Harwani, Mohnish, et al.
Published: (2024)

Experimentally validated and empirically compared machine learning approach for predicting yield strength of additively manufactured multi-principal element alloys from Co-Cr-Fe-Mn-Ni system
by: Chandraker, Abhinav, et al.
Published: (2023)

OptiMat Alloys: a FAIR, living database of multi-principal element alloys enabled by a conversational agent
by: Hu, Yang, et al.
Published: (2026)

Machine learning accelerated discovery of corrosion-resistant high-entropy alloys
by: Zeng, Cheng, et al.
Published: (2023)

Machine learning potential as a guide for eutectic in ultra-refractory multicomponent ceramics
by: Valiulin, V. E., et al.
Published: (2026)

Physical discovery in representation learning via conditioning on prior knowledge: applications for ferroelectric domain dynamics
by: Liu, Yongtao, et al.
Published: (2022)

Itinerant magnetism vis-à-vis structural phases in AlCuFeMn multi-principal-component medium entropy alloy
by: Swarnakar, Palash, et al.
Published: (2024)

Machine Learning-guided accelerated discovery of structure-property correlations in lean magnesium alloys for biomedical applications
by: Raguraman, Sreenivas, et al.
Published: (2024)

Threshold displacement energies in refractory high-entropy alloys
by: Byggmästar, Jesper, et al.
Published: (2024)

Machine learning guided discovery of stable, spin-resolved topological insulators
by: Tyner, Alexander C.
Published: (2024)

Exploring the impact of Ti/Al on L12 nanoprecipitation and deformation behavior in CoNiFeAlTi multi-principal element alloys through atomistic simulations
by: Esfandiarpour, Amin, et al.
Published: (2025)

Nanoindentation induced plasticity in equiatomic MoTaW alloys by experimentally guided machine learning molecular dynamics simulations
by: Dominguez-Gutierrez, F. J., et al.
Published: (2026)

Phase discovery with active learning: Application to structural phase transitions in equiatomic NiTi
by: Vandermause, Jonathan, et al.
Published: (2024)

Electronic manifolds for extrapolative alloy discovery
by: Ray, Pranoy, et al.
Published: (2026)