Papers citing Feature engineering of material structure for AI-based materials knowledge systems
Applications of machine learning in high-entropy alloys: a review of recent advances in design, discovery, and characterization
Nanoscale · 2025-01-01
Mohammad Hossein Golbabaei, Mohammad Zohrevand, Ning Zhang
Read original paper ↗ ·Emerging trends in advanced biomimetic composite materials inspired by biological structures and functions in nature
AIMS Materials Science · 2025-01-01
Tomasz Trzepieciński, Marek Kowalik, Sherwan Mohammed Najm, Salah Eddine Laouini, Marwan T. Mezher
Read original paper ↗ ·Harnessing the leading edge: machine learning ventures in chemistry and materials science
Physical Chemistry Chemical Physics · 2025-01-01
Yuheng Li, Fengming Guo, Shui‐Yang Lien, Abd. Rashid bin Mohd Yusoff, Zhihong Zheng, Jingyun Zhang, Peng Fei Gao
Read original paper ↗ ·Solving real-life wear problems: Streamlined lab tests for diverse industrial applications. Can AI help ?
Wear · 2025-02-03
Dirk Drees, Lais Lopes, Pedro Baião, Angelos M. Koutsomichalis, Emmanuel P. Georgiou
Read original paper ↗ ·Navigating beyond the training set: A deep learning framework for inverse design of architected composite materials
Engineering Applications of Artificial Intelligence · 2025-03-19
José Pablo Quesada-Molina, Hossein Mofatteh, Abdolhamid Akbarzadeh, Stefano Mariani
Read original paper ↗ ·Recent Progress of Artificial Intelligence Application in Polymer Materials
Polymers · 2025-06-16
Teng Long, Qianqian Pang, Yanyan Deng, Xiteng Pang, Yixuan Zhang, Rui Yang, Chuanjian Zhou
Read original paper ↗ ·Reduced-order structure-property linkages for stochastic metamaterials
Physical Review Materials · 2025-07-21
Hooman Danesh, Maruthi Annamaraju, Tim Brepols, Stefanie Reese, Surya R. Kalidindi
Read original paper ↗ ·A survey of AI-supported materials informatics
Computer Science Review · 2025-10-17
Sanjay Chakraborty, Jonas Björk, Martin Dahlqvist, Johanna Rosen, Fredrik Heintz
Read original paper ↗ ·A Systematic Framework for Inverse Analysis of Critical Microstructural Features Governing Ductile Fracture in Dual-Phase Steels: Local-Scale
Metals and Materials International · 2025-11-18
Lisha Shi, Shujun Yang, Yuan Chen, Ning Nie, Yu Liu, Hui Wang
Read original paper ↗ ·A Systematic Framework for Inverse Analysis of Critical Microstructural Features Governing Ductile Fracture in Dual-Phase Steels: Global-Scale
Metallurgical and Materials Transactions A · 2025-11-22
Lisha Shi, Hui Wang, Shunjie Yao, Yu Liu, Junya Inoue
Read original paper ↗ ·Machine learning guidelines for designing next-generation nanocomposite membranes for CO 2 capture
Green Chemistry · 2025-11-25
Doaa Sallam, Basamat S. Shaheen, Nageh K. Allam
Read original paper ↗ ·Hybrid AI Systems for Tool Wear Monitoring in Manufacturing: A Systematic Review
Applied Sciences · 2025-12-24
Büşra Tan Saatçı, Mustafa Ulaş, Turan Gürgenç
Read original paper ↗ ·Metallurgy-informed Bayesian optimization: rethinking alloy discovery and design
Digital Discovery · 2026-01-01
Raymundo Arróyave
Read original paper ↗ ·Probabilistic Materials Informatics
Elsevier eBooks · 2026-01-01
Andreas E. Robertson, Aditya Venkatraman, Adam P. Generale, Surya R. Kalidindi
Read original paper ↗ ·The Future of Polymer Science: Artificial Intelligence and Beyond
Engineering materials · 2026-01-01
Akshita, Devang Shukla, Rohit Verma, Tejendra Kumar Gupta, Deepshikha Gupta, Ravi Kant Choubey, Sunil Kumar, Vijay Kumar
Read original paper ↗ ·Machine learning-aided design of two novel high entropy alloys with enhanced corrosion resistance for orthopedic implants
Electrochimica Acta · 2026-03-06
Azizeh Hosseinjany, Tatiana Blank, Demircan Canadinç, Mustafa Baris Yagci, Hans Jürgen Maier
Read original paper ↗ ·Artificial intelligence and machine learning in optoelectronics and energy storage: From materials design to device applications
Sustainable materials and technologies · 2026-03-09
Yunsheng Zhang, Muhammad Sadiq, Muhammad Moazam Fraz, Eman Ali aldhahri, Abdulwahab Ali Almazroi, Mariam Iqbal, Asif Hayat, Yu Geng, Ahmed Saad Radi Algamdi, Amber Noreen, Aiman Fatima, Junwei Liang, Hamid Ali
Read original paper ↗ ·Ionic Transport Predicting: A Machine Learning Dive into K 3 HCh (Ch: S, Se, and Te) for Next-Generation Solid State Batteries
ACS Applied Energy Materials · 2026-03-31
Bouchra Kaima Mechraoui, Rabie Arar, Mohamed Halit, Zoulikha Hebboul
Read original paper ↗ ·Machine Learning‐Triggered Auto‐Discovery and Promotion of Luminescent Materials: From Predictive Modeling to Autonomous Laboratories
Advanced Optical Materials · 2026-08-01
Chao He, Shaoan Zhang, Zonglong Guo, Jialong Xu, Shengzhi Sun, Jianrong Qiu, Yang Li
Read original paper ↗ ·A Gated Fusion-Enhanced Convolutional Neural Network–Graph Convolutional Network Model for Analyzing Key Microstructural Factors in Local Ductile Fracture Hotspots of Dual-Phase Steels
Integrating materials and manufacturing innovation · 2026-09-01
Lisha Shi, Rui Wang, Shaowei Wu, Chen Yuan, Hui Wang, Yu Liu
Read original paper ↗ ·