BetaCitation Atlas

RESEARCH PAPER · Progress in Materials Science · 2022

Machine learning for high-entropy alloys: Progress, challenges and opportunities

Xianglin Liu, Jiaxin Zhang, Zongrui Pei

Read original paper ↗

See where this research leads.

393 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine learning for high-entropy alloys: Progress, challenges and opportunitiesOriginalA Framework for Assessing Compositional Generalizability in High-Entropy Alloy ML Potentials0High-entropy alloys in electrocatalysis: from fundamentals to applications540Optimization strategies of high-entropy alloys for electrocatalytic applications173Why Most ML Potential Benchmarks Overestimate Real-World Accuracy on Disordered Alloys0Toward the design of ultrahigh-entropy alloys via mining six million texts100Descriptor-Enabled Rational Design of High-Entropy Materials Over Vast Chemical Spaces0Rational design of high-entropy ceramics based on machine learning – A critical review52A general framework for dislocation models5Prediction of phase selection of amorphous alloys and high entropy alloys by artificial neural network19Nanoscale fluctuation of stacking fault energy strengthens multi-principal element alloys13Diseño de aleación de alta entropía de alto desempeño mecánico en condiciones de bajas y altas temperaturas para aplicaciones energéticas y aeroespaciales.0Diseño de aleación de alta entropía de alto desempeño mecánico en condiciones de bajas y altas temperaturas para aplicaciones energéticas y aeroespaciales.0Disorder-order transition in multiprincipal element alloy: A free energy perspective6Bayesian optimization with active learning of design constraints using an entropy-based approach132Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations40Machine-learning-guided phase identification and hardness prediction of Al-Co-Cr-Fe-Mn-Nb-Ni-V containing high entropy alloys62Optimal corrosion resistance of cobalt-based dual-phase entropic alloys via compositional modulation of aluminum10Searching for medium entropy alloys with desired mechanical property by adaptive design combined with experiments4Design of advanced electrocatalysts for the high-entropy alloys: Principle, progress, and perspective50Microstructural evolution and tensile property enhancement of low-cost Fe-24Mn-22Ni-12Cr medium-entropy alloy by cryogenic caliber rolling5Transferable prediction of formation energy across lattices of increasing size1Recent advances and outstanding challenges for implementation of high entropy alloys as structural materials55Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning8Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling4High-entropy materials for electrocatalytic applications: a review of first principles modeling and simulations79Transferable prediction of formation energy across lattices of increasing size1Connecting the mechanical properties of magnesium and high-entropy alloys3Current application status of multi-scale simulation and machine learning in research on high-entropy alloys82Accelerated discovery of oxidation-resistant ultra-high temperature ceramics via data driven methodology11Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environments26Elucidating precipitation in FeCrAl alloys through explainable AI: A case study22A quantum “black box” for entropy calculation5Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations32Machine-Learning-Based Thermal Conductivity Prediction for Additively Manufactured Alloys22Forecasting the strength of micro/nano silica in cementitious matrix by machine learning approaches28Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook78Tailoring the microstructure and mechanical properties of (CrMnFeCoNi)100-C high-entropy alloys: Machine learning, experimental validation, and mathematical modeling25Experimental and computational analysis of stacking fault energy in B-doped Fe50−XMn30Co10Cr10BX multi-principal elements alloys20Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique47High‐performance ferroelectric based materials via high‐entropy strategy: Design, properties, and mechanism96Phase Selection Rules of Multi‐Principal Element Alloys37Design of high bulk moduli high entropy alloys using machine learning27Machine learning aided process design of Fe-Cr-Ni-Al/Ti multi-principal element alloys for excellent mechanical properties12Artificial intelligence aided design for heterogeneous integration system in display2Enhanced Interband Transition in FeCoNiAlTi High‐Entropy Alloy for Ultrafast Nonlinear Optical Applications17Portfolio Optimization Using Machine Learning Techniques2Interconnection network analysis through ve-degree-based information functional entropy and complexity2Low-Cost Vibrational Free Energies in Solid Solutions with Machine Learning Force Fields11Data-driven analysis and prediction of stable phases for high-entropy alloy design50A machine learning-driven framework for the property prediction and generative design of multiple principal element alloys33Efficient screening of single phase forming low-activation high entropy alloys19Machine learning – informed development of high entropy alloys with enhanced corrosion resistance35Accelerated design of L1 2 -strengthened single crystal high entropy alloys based on machine learning and multi-objective optimization9Chemical Order/Disorder Phase Transitions in NiCoFeAlTiB High-Entropy Alloys: A Monte Carlo Analysis0Development of Light-Weight High Entropy Alloys for Aerospace Applications: Perspective of Artificial Intelligence7Discovery and Current Status of High-Entropy Alloy Superconductors0Flawed Assumptions in Uncertainty Quantification for High-Entropy Alloys: A Critique of Ensemble Diversity Metrics0Future prospects of high-entropy alloys as next-generation industrial electrode materials104High-temperature oxidation behavior of transition metal complex concentrated alloys (TM-CCAs): a comprehensive review5Introduction to high-entropy alloys: new frontiers and advanced applications0Microstructural Characterization and Phase Prediction of High Entropy Alloys using Empirical and Machine Learning Based Methodologies0Perspective: Bridging ML and CALPHAD for Multicomponent Alloy Design — A Position on Hybrid Workflows0Prediction of energy production in a building-integrated photovoltaic system using machine learning algorithms8Unsupervised learning and pattern recognition in alloy design15What Does “Sparsity” Mean in High-Dimensional Materials Design? A Boundary Problem for Active Learning0X-ray absorption spectroscopy in high-entropy material research9Machine learning assisted design of high-entropy alloys with ultra-high microhardness and unexpected low density70Enhancing the mechanical properties of high-entropy alloys through severe plastic deformation: A review52Neural network for predicting Peierls barrier spectrum and its influence on dislocation motion17Fabrication of High Entropy Alloy by Powder Metallurgy Process3Irradiation performance of high entropy ceramics: A comprehensive comparison with conventional ceramics and high entropy alloys97Short-term oxidation behavior of powder metallurgy Al0.8Co0.5Cr1.5CuFeNi HEA in high-temperature solid and semi-solid intervals15Mixed Enthalpy–Entropy Descriptor for the Rational Design of Synthesizable High-Entropy Materials Over Vast Chemical Spaces25Design and Selection of High Entropy Alloys for Hardmetal Matrix Applications Using a Coupled Machine Learning and Calculation of Phase Diagrams Methodology16Feature purify: An examination of spurious correlations in high-entropy alloys9Molecular Dynamics on Hf-Nb-Ta-Ti-Zr High Entropy Alloy1Applications of generative adversarial networks in materials science42Improving the mechanical properties of Cantor-like alloys with Bayesian optimization14Machine learning assisted optimization of soft magnetic properties in ternary Fe–Si–Al alloys16High‐Entropy Photothermal Materials141A quantum procedure for estimating information gain in Boolean classification task2Multi-objective optimization and machine learning assisted design and synthesis of magnesium based novel non-equiatomic medium entropy alloy17Mechanical properties and high-pressure behavior of high entropy carbide (Mo, Nb, Ta, V, W)C14High-entropy alloys in thermoelectric application: A selective review13Machine Learning Aided Design and Optimization of Thermal Metamaterials195Comprehensive insights into recent innovations: Magnesium-inclusive high-entropy alloys40Designing of high entropy alloys with high hardness: a metaheuristic approach39Transferring predictions of formation energy across lattices of increasing size*4Emerging high-entropy compounds for electrochemical energy storage and conversion112Materials design for hypersonics478An investigation on the jet formation and penetration characteristics of the CuCoCrFeNi high-entropy alloy liner7Mechanical properties of dual-phase eutectic high-entropy alloys41Efficient design of lightweight AlCrFeNiTi-based high-entropy alloys via computational thermodynamics and interpretable machine learning19Machine learning-enabled prediction of high-temperature oxidation resistance for Ni-based alloys29Data mining accelerated the design strategy of high‐entropy alloys with the largest hardness based on genetic algorithm optimization22Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys26Unveiling yield strength of metallic materials using physics-enhanced machine learning under diverse experimental conditions35Prediction of the Cohesion Energy, Shear Modulus and Hardness of Single-Phase Metals and High-Entropy Alloys9A machine learning framework for the prediction of grain boundary segregation in chemically complex environments12A new route to bulk nanostructured multiphase alloys with ultrahigh hardness6Multiscale microstructural consideration for high strength diffusion bonding of Ti2AlNb alloy to GH4169 superalloy with (TiZrHfNb)95Al5 interlayer13Designing complex concentrated alloys with quantum machine learning and language modeling13Machine learning-enabled prediction and optimization of hardness for Nb-Ti-V-Zr refractory high entropy alloy12Accelerating the Exploration of High‐Entropy Alloys: Synergistic Effects of Integrating Computational Simulation and Experiments40Materials Containing Single‐, Di‐, Tri‐, and Multi‐Metal Atoms Bonded to C, N, S, P, B, and O Species as Advanced Catalysts for Energy, Sensor, and Biomedical Applications94Machine learned interatomic potentials for ternary carbides trained on the AFLOW database18Entropy-stabilized homologous catalysts for high performance Li-S batteries: Progress and prospects39Deformation-induced martensitic transformations: A strategy for overcoming the strength-ductility trade-off in high-entropy alloys46Machine‐Learning Aided First‐Principles Prediction of Earth‐Abundant Pnictogen Chalcohalide Solid Solutions for Solar‐Cell Devices18An Application of Interpolation Search Algorithm to Curb the Impact of Outliers on the Dual-Axis Solar Tracking System0Microstructure and mechanical properties of CoCrFeNiAl0.5Ti0.1 high entropy alloy rod11Supervised machine learning for multi-principal element alloy structural design5Diffusion enhancement by spontaneous formation of Frenkel defects in NaCl-type high-entropy materials3Frontiers in high entropy alloys and high entropy functional materials169Recent progress in high‐entropy nanocatalysts23Analysis and Prediction of Morphology and Properties of Laser-Directed Energy Deposition CoCrFeNi High-Entropy Alloy Using Response Surface Methodology and Non-dominated Sorting Genetic Algorithm II5Machine learning assisted design of new ductile high-entropy alloys: Application to Al-Cr-Nb-Ti-V-Zr system25Multicomponent alloys design and mechanical response: From high entropy alloys to complex concentrated alloys71Towards the holistic design of alloys with large language models16Improved phase prediction of high-entropy alloys assisted by imbalance learning15Exploring the effects of climate change and urban policies on lake water quality using remote sensing and explainable artificial intelligence33Machine learning-driven insights into phase prediction for high entropy alloys18Layered-Structured Sodium-Ion Cathode Materials: Advancements through High-Entropy Approaches77Multifunctional high-entropy materials231Data Mining Evoking Scintillators Auto‐Discovery for Low‐LoD High‐Resolution Deep‐Penetrating X‐Ray Imaging of Portable Digital Radiography28Critical review of high-entropy alloys for catalysts: Design, synthesis, and applications27Machine-learning synergy in high-entropy alloys: A review43High-entropy catalysts for electrocatalytic reduction reaction8The path towards plasma facing components: A review of state-of-the-art in W-based refractory high-entropy alloys39Feature extraction and classification of microstructure and magnetic tomography images of an advanced Nd-Fe-B sintered magnet0Harnessing machine learning for predictive modelling of high entropy alloy phases11Elastic constants from charge density distribution in FCC high-entropy alloys using CNN and DFT8Synthesis Strategies for High Entropy Nanoparticles93Standard deviation in maximum restoring force controls the intrinsic strength of face-centered cubic multi-principal element alloys10Superconductor Discovery in the Emerging Paradigm of Materials Informatics8Data-driven design of high bulk modulus high entropy alloys using machine learning21Toward a better understanding of the photothermal heating of high-entropy-alloy nanoparticles0Recent machine learning-driven investigations into high entropy alloys: A comprehensive review37Machine Learning Application for Functional Properties Prediction in Magnetic Materials7Nanotwinned thermoelectric materials1Roadmap for the development of machine learning-based interatomic potentials50Sustainable high-entropy materials?55Superior strain gauge sensitivity and elastic anisotropy in TiZrHfTa high entropy alloy11Chemical order/disorder phase transitions in NiCoFeAlTiB multi-principal element alloys: A Monte Carlo analysis4Rapid Assessment of Stable Crystal Structures in Single-Phase High-Entropy Alloys via Graph Neural Network-Based Surrogate Modelling2Machine learning-assisted design of Ti–V–Nb–Mo refractory high-entropy alloys with higher ductility and specific yield strength30Research progress on creep resistance of high entropy alloys14Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation6A Multi-Fidelity Learning Framework for High-Entropy Alloy Design with Sparse DFT and Abundant CALPHAD Data0A Synthesis of Techniques for Feature Downgrading Processing in IoT Security0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

393 direct citing papers saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. A Framework for Assessing Compositional Generalizability in High-Entropy Alloy ML Potentials

    Journal of Computational and Data-Driven Materials Engineering · 2023-01-01

    Ali Hassan, Noor Siddiqui, Bilal Khan, Sana Malik

    Read original paper ↗ ·

  2. High-entropy alloys in electrocatalysis: from fundamentals to applications

    Chemical Society Reviews · 2023-01-01

    Jin−Tao Ren, Lei Chen, Haoyu Wang, Zhong‐Yong Yuan

    Read original paper ↗ ·

  3. Optimization strategies of high-entropy alloys for electrocatalytic applications

    Chemical Science · 2023-01-01

    Liyuan Xiao, Zhenlü Wang, Jingqi Guan

    Read original paper ↗ ·

  4. Why Most ML Potential Benchmarks Overestimate Real-World Accuracy on Disordered Alloys

    Journal of Computational and Data-Driven Materials Engineering · 2023-01-01

    Jinwoo Park, Minji Kim, Seung Lee

    Read original paper ↗ ·

  5. Toward the design of ultrahigh-entropy alloys via mining six million texts

    Nature Communications · 2023-01-04

    Zongrui Pei, Junqi Yin, Peter Kaehuei Liaw, Dierk Raabe

    Read original paper ↗ ·

  6. Descriptor-Enabled Rational Design of High-Entropy Materials Over Vast Chemical Spaces

    arXiv (Cornell University) · 2023-01-16

    Dey, Dibyendu, Liangbo Liang, Liping Yu

    Read original paper ↗ ·

  7. Rational design of high-entropy ceramics based on machine learning – A critical review

    Current Opinion in Solid State and Materials Science · 2023-02-15

    Jun Zhang, Xuepeng Xiang, Biao Xu, Shasha Huang, Yaoxu Xiong, Shihua Ma, Haijun Fu, Yi Ma, Hongyu Chen, Zhenggang Wu, Shijun Zhao

    Read original paper ↗ ·

  8. A general framework for dislocation models

    Computational Materials Science · 2023-03-03

    Zongrui Pei

    Read original paper ↗ ·

  9. Prediction of phase selection of amorphous alloys and high entropy alloys by artificial neural network

    Computational Materials Science · 2023-03-16

    Lin Wang, Peiyou Li, Wei Zhang, Fangyi Wan, Junxia Wu, Longquan Yong, Xiaodi Liu

    Read original paper ↗ ·

  10. Nanoscale fluctuation of stacking fault energy strengthens multi-principal element alloys

    Journal of Material Science and Technology · 2023-03-29

    Zongrui Pei, Markus Eisenbach, Peter Kaehuei Liaw, Mingwei Chen

    Read original paper ↗ ·

  11. Diseño de aleación de alta entropía de alto desempeño mecánico en condiciones de bajas y altas temperaturas para aplicaciones energéticas y aeroespaciales.

    Unknown journal · 2023-03-31

    David Rojas Jara, Manuel Meléndrez Castro

    Read original paper ↗ ·

  12. Diseño de aleación de alta entropía de alto desempeño mecánico en condiciones de bajas y altas temperaturas para aplicaciones energéticas y aeroespaciales.

    Unknown journal · 2023-03-31

    David Rojas Jara, Manuel Meléndrez Castro

    Read original paper ↗ ·

  13. Disorder-order transition in multiprincipal element alloy: A free energy perspective

    Physical Review Materials · 2023-03-31

    Xiao-Shi Wang, Yun-Jiang Wang

    Read original paper ↗ ·

  14. Bayesian optimization with active learning of design constraints using an entropy-based approach

    npj Computational Materials · 2023-04-01

    Danial Khatamsaz, Brent Vela, Prashant Kumar Singh, Duane D. Johnson, Douglas Allaire, Raymundo Arróyave

    Read original paper ↗ ·

  15. Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations

    Science and Technology of Advanced Materials · 2023-04-11

    Jianbao Gao, Jing Zhong, Guangchen Liu, Shaoji Zhang, Jiali Zhang, Zuming Liu, Bo Song, Lijun Zhang

    Read original paper ↗ ·

  16. Machine-learning-guided phase identification and hardness prediction of Al-Co-Cr-Fe-Mn-Nb-Ni-V containing high entropy alloys

    Journal of Alloys and Compounds · 2023-04-18

    Reliance Jain, Unhae Lee, Sumanta Samal, Nokeun Park

    Read original paper ↗ ·

  17. Optimal corrosion resistance of cobalt-based dual-phase entropic alloys via compositional modulation of aluminum

    Journal of Materials Research and Technology · 2023-05-01

    Wei Wang, Hongliu Wu, Wangzhong Mu, Wenda Zhang, Zhou Li, Huahai Mao, Peikang Bai, Henrik Larsson

    Read original paper ↗ ·

  18. Searching for medium entropy alloys with desired mechanical property by adaptive design combined with experiments

    International Journal of Refractory Metals and Hard Materials · 2023-05-01

    Xuefei Wang, Hong Luo, Qiancheng Zhao, Hongxu Cheng, Zhimin Pan, Xiaogang Li

    Read original paper ↗ ·

  19. Design of advanced electrocatalysts for the high-entropy alloys: Principle, progress, and perspective

    Journal of Alloys and Compounds · 2023-05-09

    Binbin He, Yun Zu, Yi Mei

    Read original paper ↗ ·

  20. Microstructural evolution and tensile property enhancement of low-cost Fe-24Mn-22Ni-12Cr medium-entropy alloy by cryogenic caliber rolling

    Journal of Alloys and Compounds · 2023-05-23

    Jae Ho Lee, Young‐Kyun Kim, Jong Woo Won, Ka-Ram Lim, Byeong‐Joo Lee, Jae Bok Seol, Young‐Sang Na

    Read original paper ↗ ·

  21. Transferable prediction of formation energy across lattices of increasing size

    ChemRxiv · 2023-06-14

    Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach

    Read original paper ↗ ·

  22. Recent advances and outstanding challenges for implementation of high entropy alloys as structural materials

    Materials Today Communications · 2023-06-15

    Mikhail S. Slobodyan, Evgeniy Pesterev, A. B. Markov

    Read original paper ↗ ·

  23. Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning

    Materials Today Communications · 2023-06-21

    Kang Xu, Jin-hua An, Li Zhang, Chun-yan Bai, Jian Tu, Jinru Luo

    Read original paper ↗ ·

  24. Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling

    Proceedings of the AAAI Conference on Artificial Intelligence · 2023-06-26

    Sirui Bi, Victor Fung, Jiaxin Zhang

    Read original paper ↗ ·

  25. High-entropy materials for electrocatalytic applications: a review of first principles modeling and simulations

    Materials Research Letters · 2023-06-26

    Wenyi Huo, Shiqi Wang, Francisco Javier Dominguez-Gutierrez, Kai Ren, Ł. Kurpaska, Feng Fang, Stefanos Papanikolaou, Hyoung Seop Kim, Jianqing Jiang

    Read original paper ↗ ·

  26. Transferable prediction of formation energy across lattices of increasing size

    ChemRxiv · 2023-07-11

    Massimiliano Lupo Pasini, Mariia Karabin, Markus Eisenbach

    Read original paper ↗ ·

  27. Connecting the mechanical properties of magnesium and high-entropy alloys

    Journal of Alloys and Compounds · 2023-07-20

    Zongrui Pei

    Read original paper ↗ ·

  28. Current application status of multi-scale simulation and machine learning in research on high-entropy alloys

    Journal of Materials Research and Technology · 2023-08-01

    Deyu Jiang, Lechun Xie, Liqiang Wang

    Read original paper ↗ ·

  29. Accelerated discovery of oxidation-resistant ultra-high temperature ceramics via data driven methodology

    Corrosion Science · 2023-08-14

    Yonggang Yan, Yalin Liao, Kun Wang

    Read original paper ↗ ·

  30. Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environments

    Colloids and Surfaces A Physicochemical and Engineering Aspects · 2023-08-21

    Chunyu Qiao, Hong Luo, Xuefei Wang, Hongxu Cheng, Da Bi, Xiaogang Li

    Read original paper ↗ ·

  31. Elucidating precipitation in FeCrAl alloys through explainable AI: A case study

    Computational Materials Science · 2023-08-30

    Sandipp Krishnan Ravi, Indranil Roy, Subhrajit Roychowdhury, Bojun Feng, Sayan Ghosh, Christopher Reynolds, Rajnikant V. Umretiya, Raúl B. Rebak, Andrew Hoffman

    Read original paper ↗ ·

  32. A quantum “black box” for entropy calculation

    Quantum Machine Intelligence · 2023-08-31

    Michal Koren, Oded Koren, Or Peretz

    Read original paper ↗ ·

  33. Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations

    Results in Materials · 2023-09-01

    Desmond Edem Primus Klenam, Tabiri Kwayie Asumadu, Mobin Vandadi, Nima Rahbar, Fred McBagonluri, Winston Oluwole Soboyejo

    Read original paper ↗ ·

  34. Machine-Learning-Based Thermal Conductivity Prediction for Additively Manufactured Alloys

    Journal of Manufacturing and Materials Processing · 2023-09-03

    Uttam Bhandari, Yehong Chen, Huan Wen Ding, Congyuan Zeng, Selami Emanet, Paul Gradl, Shengmin Guo

    Read original paper ↗ ·

  35. Forecasting the strength of micro/nano silica in cementitious matrix by machine learning approaches

    Materials Today Communications · 2023-09-09

    Athar Zaman, Roz‐Ud‐Din Nassar, Mana Alyami, Sultan Shah, Muhammad Faisal Rehman, Ibrahim Y. Hakeem, Furqan Farooq

    Read original paper ↗ ·

  36. Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook

    Advanced Materials · 2023-09-09

    Xuhao Wan, Zeyuan Li, Wei Yu, Anyang Wang, Xue Ke, Hailing Guo, Jinhao Su, Li Li, Qingzhong Gui, Songpeng Zhao, John Robertson, Zhaofu Zhang, Yuzheng Guo

    Read original paper ↗ ·

  37. Tailoring the microstructure and mechanical properties of (CrMnFeCoNi)100-C high-entropy alloys: Machine learning, experimental validation, and mathematical modeling

    Current Opinion in Solid State and Materials Science · 2023-09-16

    Mohammad Reza Zamani, Milad Roostaei, Hamed Mirzadeh, Mehdi Malekan, Min Jung Song

    Read original paper ↗ ·

  38. Experimental and computational analysis of stacking fault energy in B-doped Fe50−XMn30Co10Cr10BX multi-principal elements alloys

    Journal of Alloys and Compounds · 2023-10-06

    José Y. Aguilar-Hurtado, Alejandro Vargas-Uscategui, Laura Gabriela Torres‐Mejia, L. Mujica Roncery, Dario F. Zambrano-Mera, Stefano Pantaleone, Bo Wang, Andreas Rosenkranz, Katherine Paredes‐Gil

    Read original paper ↗ ·

  39. Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique

    Materials Today Communications · 2023-10-11

    Sheetal Kumar Dewangan, Cheenepalli Nagarjuna, Reliance Jain, Rameshwar L. Kumawat, Vinod Kumar, Ashutosh Sharma, Byungmin Ahn

    Read original paper ↗ ·

  40. High‐performance ferroelectric based materials via high‐entropy strategy: Design, properties, and mechanism

    InfoMat · 2023-10-25

    Yueyun Zhang, Liang Chen, Hui Liu, Shiqing Deng, He Qi, Jun Chen

    Read original paper ↗ ·

  41. Phase Selection Rules of Multi‐Principal Element Alloys

    Advanced Materials · 2023-10-31

    Lin Wang, Bin Ouyang

    Read original paper ↗ ·

  42. Design of high bulk moduli high entropy alloys using machine learning

    Scientific Reports · 2023-11-22

    Manjunadh Kandavalli, Abhishek Agarwal, Ansh Poonia, Kishor Modalavalasa, Kameswari Prasada Rao Ayyagari

    Read original paper ↗ ·

  43. Machine learning aided process design of Fe-Cr-Ni-Al/Ti multi-principal element alloys for excellent mechanical properties

    Computational Materials Science · 2023-11-28

    Kang Xu, Li Zhang, Chun-yan Bai, Jian Tu, Jinru Luo

    Read original paper ↗ ·

  44. Artificial intelligence aided design for heterogeneous integration system in display

    IEEE Electronics Packaging Technology Conference (EPTC) · 2023-12-05

    Sixin Huang, Ziqing Zhou, Jiaying Gao, Haohui Long, Jianhui Li

    Read original paper ↗ ·

  45. Enhanced Interband Transition in FeCoNiAlTi High‐Entropy Alloy for Ultrafast Nonlinear Optical Applications

    Advanced Optical Materials · 2023-12-08

    Xiang Liu, Jinfeng Li, Zongsheng Li, Hongwei Chu, Zhongben Pan, Han Pan, Shengzhi Zhao, Dechun Li

    Read original paper ↗ ·

  46. Portfolio Optimization Using Machine Learning Techniques

    International Conference on Computation, Automation and Knowledge Management (ICCAKM) · 2023-12-12

    T. Sugadev, N. Sheik Hameed, S. Vijayakumar, P. Tamilarasan, Md. Sahidul Islam

    Read original paper ↗ ·

  47. Interconnection network analysis through ve-degree-based information functional entropy and complexity

    The European Physical Journal Plus · 2023-12-14

    Wenhu Wang, Asfand Fahad, Vladimir Y. Mariano, Nabeel Mujahid, Mideth Abisado

    Read original paper ↗ ·

  48. Low-Cost Vibrational Free Energies in Solid Solutions with Machine Learning Force Fields

    The Journal of Physical Chemistry Letters · 2023-12-15

    Kasper Tolborg, Aron Walsh

    Read original paper ↗ ·

  49. Data-driven analysis and prediction of stable phases for high-entropy alloy design

    Scientific Reports · 2023-12-18

    Iman Peivaste, Ericmoore E. Jossou, Ahmed A. Tiamiyu

    Read original paper ↗ ·

  50. A machine learning-driven framework for the property prediction and generative design of multiple principal element alloys

    Materials Today Communications · 2023-12-22

    Zhe Li, S. Li, N. Birbilis

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.