Papers citing Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation
A brief overview of deep generative models and how they can be used to discover new electrode materials
Current Opinion in Electrochemistry · 2024
Anders Hellman
Read original paper ↗ ·Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes
Expert Opinion on Drug Delivery · 2024
Hirak Mazumdar, Kamil Reza Khondakar, Suparna Das, Animesh Halder, Ajeet Kumar Kaushik
Read original paper ↗ ·A review of large language models and autonomous agents in chemistry
Chemical Science · 2024
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Read original paper ↗ ·Kolmogorov–Arnold Network Made Learning Physics Laws Simple
The Journal of Physical Chemistry Letters · 2024
Yue Wu, Tianhao Su, Bingsheng Du, Shunbo Hu, Jie Xiong, Deng Pan
Read original paper ↗ ·Machine Learning Advances in High-Entropy Alloys: A Mini-Review
Entropy · 2024
Yibo Sun, Jun Ni
Read original paper ↗ ·Applications of machine learning in high-entropy alloys: a review of recent advances in design, discovery, and characterization
Nanoscale · 2025
Mohammad Hossein Golbabaei, Mohammad Zohrevand, Ning Zhang
Read original paper ↗ ·Artificial Intelligence and Generative Models for Materials Discovery: A Review
World Scientific Annual Review of Functional Materials · 2025
Albertus Denny Handoko, Riko I Made
Read original paper ↗ ·Efficient Prediction of Quasi-Phase Equilibrium in KKS Phase Field Model via Grey Wolf-Optimized Neural Network
Computers, materials & continua/Computers, materials & continua (Print) · 2025
Changsheng Zhu, Jintao Miao, Zihao Gao, Shuo Liu, Jingjie Li
Read original paper ↗ ·Molecular representation learning: cross-domain foundations and future Frontiers
Digital Discovery · 2025
Rahul Sheshanarayana, Fengqi You
Read original paper ↗ ·Navigating materials design spaces with efficient Bayesian optimization: a case study in functionalized nanoporous materials
Digital Discovery · 2025
Panagiotis Krokidas, Vassilis Gkatsis, J. Theocharis, George Giannakopoulos
Read original paper ↗ ·Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research
Indian Chemical Engineer · 2025
Muthuraja Velpandian, Suddhasatwa Basu
Read original paper ↗ ·Generative AI designs the next generation of smart materials from pixels to products
The International Journal of Advanced Manufacturing Technology · 2025
Muhammad Shafiq, Kalpana Thakre, Raji Pandurangan, R. V. S. Lalitha
Read original paper ↗ ·Advancing PFAS Remediation through Physics-Based Modeling of 2D Materials: Recent Progress, Challenges, and Opportunities
Industrial & Engineering Chemistry Research · 2025
Monzure-Khoda Kazi, Sunith Varghese, Nahid Sarker, Nirupam Aich, Venkataramana R. Gadhamshetty
Read original paper ↗ ·Mechanical property prediction and configuration effect exploration of particulate reinforced metal matrix composites via an interpretable deep learning approach
Materials Science and Engineering A · 2025
Xushun Chai, Yishi Su, Zheli Lin, Caihao Qiu, Xuyang Liu, Xin Zhang, Jingyu Yang, Jingyu Yang, Di Zhang
Read original paper ↗ ·Finite element analysis, machine learning, and digital twins for soft robots: state-of-arts and perspectives
Smart Materials and Structures · 2025
Liuchao Jin, Xiaoya Zhai, Wenbo Xue, Kang Zhang, Jingchao Jiang, Mahdi Bodaghi, Wei‐Hsin Liao
Read original paper ↗ ·Multimodal foundation models for material property prediction and discovery
Newton · 2025
Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Qi Chen, Samuel Kim, Peter Y. Lu, Thomas Christensen, Marin Soljačić
Read original paper ↗ ·Inverse design of high-performance piezoelectric semiconductors via advanced crystal representation and large language models
Applied Physics Letters · 2025
Chen Zhang, Siyuan Lv, Haojie Gong, Qianxi Cheng, Jianxiu Guo, Zheng Duanmu, Hang Xiao
Read original paper ↗ ·Artificial Intelligence in Gas Sensing: A Review
ACS Sensors · 2025
M. Arshad Zahangir Chowdhury, Matthew A. Oehlschlaeger
Read original paper ↗ ·445High-throughput screening for novel medical materials: machine learning-enabled approaches
De Gruyter eBooks · 2025
Spoorthi P. Shetty, N. Pragadish, Ashish Verma, K. N. V. Satyanarayana
Read original paper ↗ ·THE EFFECTIVENESS OF HEALTHCARE INTERVENTIONS FOR HIGH-INTENSITY INTERVAL TRAINING UNDER GENERATIVE ARTIFICIAL INTELLIGENCE TECHNOLOGY
Journal of Mechanics in Medicine and Biology · 2025
MIN FAN, MARIUSZ LIPOWSKI, XINGHAO WANG, Taofeng Liu
Read original paper ↗ ·Towards an automated workflow in materials science for combining multi-modal simulation and experimental information using data mining and large language models
Materials Today Communications · 2025
Balduin Katzer, Steffen Klinder, Katrin Schulz
Read original paper ↗ ·Employing Modern Technologies in Drawing Inspiration from Nature to Develop Form in Industrial Products
IEEE International Conference on Computing and Machine Intelligence (ICMI) · 2025
Safa Jaafar Sadiq, أنيس حاتم مانع
Read original paper ↗ ·Deep learning-driven medical image analysis for computational material science applications
Frontiers in Materials · 2025
Lu Li, Mingpei Liang
Read original paper ↗ ·Inverse design of catalytic active sites via interpretable topology-based deep generative models
npj Computational Materials · 2025
Bingxu Wang, Shisheng Zheng, Jie Wu, Jingyan Li, Feng Ming Pan
Read original paper ↗ ·Applications of generative artificial intelligence in battery research: Current status and prospects
Acta Physico-Chimica Sinica · 2025
Hengrui Zhang, Xijun Xu, Xun‐Lu Li, Xiangwen Gao
Read original paper ↗ ·Enhancing Computational Design by integrating Visual Programming Language with Natural Language Processing Models
Venue not supplied by source · 2025
Laura Sardone
Read original paper ↗ ·Generative Design for Engineering Applications: A State-of-the-Art Review
Archives of Computational Methods in Engineering · 2025
Mohad Tanveer, Muhammad Muzammil Azad, Dohoon Kim, Salman Khalid, Heung Soo Kim
Read original paper ↗ ·Machine learning for 2D material–based devices
Materials Science and Engineering R Reports · 2025
Yuan Yan, Yimu Yang, Yinchang Ma, Kadin Reed, Shengzhi Li, Shichao Pei, Zhenwen Liang, Xixiang Zhang, Xixiang Zhang, Yi Wan, Xiangliang Zhang, Xiangliang Zhang, Rongyu Lin
Read original paper ↗ ·A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics
npj Computational Materials · 2025
Weijiang Zhao, Zhaoqi Chen, Yinghui Shang, Qing Wang, Li Wang, Bin Liu, Yong Liu, Yong Gang Yang
Read original paper ↗ ·AI Design for High Entropy Alloys: Progress, Challenges and Future Prospects
Metals · 2025
Enzhi Xie, Chao Yang
Read original paper ↗ ·Machine learning-driven materials discovery: Unlocking next-generation functional materials – A review
Computational Condensed Matter · 2025
Dilshod Nematov, Mirabbos Hojamberdiev
Read original paper ↗ ·A survey of AI-supported materials informatics
Computer Science Review · 2025
Sanjay Chakraborty, Jonas Björk, Martin Dahlqvist, Johanna Rosen, Fredrik Heintz
Read original paper ↗ ·Data-driven optimization of boron-doped graphene work function for enhanced anode materials
Fuel · 2025
Qingwei Zhang, Lai Li, Yunhua Lu, Chao Zhang, Junan Zhang
Read original paper ↗ ·Metal oxide candidates for thermochemical water splitting obtained with a generative diffusion model
Journal of Physics Energy · 2025
Matthew David Witman, Reese E. Jones, Andrew J. E. Rowberg, Stephan Lany
Read original paper ↗ ·Artificial intelligence/machine learning of polymer materials and discovery chemistry
MRS Bulletin · 2025
Jihua Chen, Panagiotis Christakopoulos, Ilia N. Ivanov, Rama Krishnan Vasudevan, Rajeev Kumar, Bobby G. Sumpter, Rigoberto C. Advincula
Read original paper ↗ ·Artificial intelligence transforming materials research: possible road ahead for India
Proceedings of the Indian National Science Academy · 2025
Prasenjit Sen
Read original paper ↗ ·EcoCurrentNet an integrated DNN-CatBoost model for predicting optoelectronic material performance under varying conditions
Scientific Reports · 2025
Sun Xiaoying
Read original paper ↗ ·Simulation-conditioned generative modeling for biologically realistic pattern prediction
bioRxiv (Cold Spring Harbor Laboratory) · 2025
Kinshuk Sahu, Hugh C. Davis, Jia Grace Lu, César A. Villalobos, Avi Heyman, Emrah Şimşek, Lingchong You
Read original paper ↗ ·Predicting and designing properties of twelve alloy families using artificial neural networks and generative adversarial networks
Bulletin of Materials Science · 2025
O Borgard, Natthaphol Chomsaeng, Komkrisd Wongtimnoi, Laurent Mezeix
Read original paper ↗ ·Conceptual Foundations of Scientific Evaluation for Generative Materials AI: A Review Study
Journal of Artificial Intelligence for Materials Science · 2026
Nikolai Ivanov, Sergey Volkov, Elena Morozova
Read original paper ↗ ·Generative AI for Sustainable Problem Solving in I5.0
IFIP advances in information and communication technology · 2026
Cristina Rosaria Monsone, Eunika Mercier‐Laurent, Ádám Csapó
Read original paper ↗ ·Harnessing generative AI for efficient organic materials discovery in low-data regimes
Digital Discovery · 2026
Jun Hyeong Kim, Kyung-Hoon Lee, Hyeonsu Kim, MinSoo Kang, Suk-Ku Chang, Yinglan Jin, Dongwook Kim, Woo Youn Kim
Read original paper ↗ ·Next-gen VOC sensing: AI-driven non-invasive detection
Elsevier eBooks · 2026
Akhilesh Kumar Pathak, Charusluk Viphavakit, Sridhar Krishnaswamy
Read original paper ↗ ·Smart Nanoelectronics: Integrating AI and ML in Materials Design and Nanoscale Device Optimisation
Micro & Nano Letters · 2026
Yashu Swami
Read original paper ↗ ·Predicting Materials Using Variational Autoencoders: A Systematic Literature Review
Archives of Computational Methods in Engineering · 2026
Mohammad Mazedul Islam, T. M. A. Iqbal Bin Belal, Md. Arif Hossain Chowdhury Anik, Ahmed Sharif
Read original paper ↗ ·Mechanically active polymeric adhesives (MAPAs) for tissue regeneration
Progress in Materials Science · 2026
Ziming Zhao, Se Ran Yang, Binggang Chen, Chao Wang, Shujun Zhang, Changhong Linghu, Ping Wang, Shifang Luan, Huajian Gao, K. Jimmy Hsia
Read original paper ↗ ·Machine Learning-Assisted Polymer and Polymer Composite Design for Additive Manufacturing
AI Materials · 2026
Kingsley Yeboah Gyabaah, Bernard Mahoney, Anthony Kwasi Martey, Cheng Yan, Patrick F. Mensah, Guoqiang Li
Read original paper ↗ ·CTGAN-based multi-objective optimization of rotary tillage blade design for coastal saline alkaline soils
Computers and Electronics in Agriculture · 2026
Han Sun, Xiaoliang Li, Xuan Luo, Qing Ma, Ning Jin, Chengpeng Qin, Haoran Bai
Read original paper ↗ ·Future-oriented precision creation: recent advances in the intelligent design and synthesis of fine chemicals
ENGINEERING Chemical Engineering · 2026
Jie Chen, Qilei Liu, Lei Zhang
Read original paper ↗ ·AI-powered open-source infrastructure for accelerating materials discovery and advanced manufacturing
Communications Materials · 2026
Mariangeles Salas, Anand Singh, Carlos Pignataro, Lokendra Pal
Read original paper ↗ ·