Papers citing Deep materials informatics: Applications of deep learning in materials science
Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks
Journal of Cheminformatics · 2024
Vishu Gupta, Youjia Li, Alec Peltekian, Muhammed Nur Talha Kilic, Wei‐keng Liao, Alok Choudhary, Ankit Agrawal
Read original paper ↗ ·Using a simple radial basis function neural network to predict the glass transition temperature of alkali borate glasses
Journal of Non-Crystalline Solids · 2024
Leonardo dos Santos Vitoria, Daniel R. Cassar, Susana de Souza Lalic, Márcio Luis Ferreira Nascimento
Read original paper ↗ ·Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)
Molecular Informatics · 2024
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Read original paper ↗ ·A machine learning approach to predict the efficiency of corrosion inhibition by natural product-based organic inhibitors
Physica Scripta · 2024
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Read original paper ↗ ·Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys
Materials Research Letters · 2024
Sofia Sheikh, Brent Vela, Vahid Attari, Xueqin Huang, Peter Morcos, James Hanagan, Cafer Acemi, İbrahim Karaman, Alaa H. Elwany, Raymundo Arróyave
Read original paper ↗ ·Applications of generative adversarial networks in materials science
Materials Genome Engineering Advances · 2024
Yuan Jiang, Jinshan Li, Xianglin Yang, Ruihao Yuan
Read original paper ↗ ·Graph Similarity-Based Data Management Platform for Advancing Material Informatics
International Conference on Big Data Analytics (ICBDA) · 2024
Amit Kumar, Hideya Yoshiuchi
Read original paper ↗ ·From Deep Learning to ChatGPT for Materials Design
Venue not supplied by source · 2024
Mohammed Mudabbiruddin, Amir Hosein Mosavi, Felde Imre
Read original paper ↗ ·A Data-Driven Approach for the Fast Prediction of Macrosegregation
Metallurgical and Materials Transactions A · 2024
Xiaowei Xu, Neng Ren, Ziqing Lu, Wajira U. Mirihanage, Eric C.C. Tsang, Alex Po Leung, Jun Li, Jun Li, Mingxu Xia, Hongbiao Dong, Jianguo Li, Jianguo Li
Read original paper ↗ ·Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning
Computational and Theoretical Chemistry · 2024
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Read original paper ↗ ·Chapter 4: Physically informed deep learning networks for simulating microstructure evolution of 3D polycrystals
Venue not supplied by source · 2024
Ashley Lenau, USDOE National Nuclear Security Administration (NNSA), The Ohio State Univ., Columbus, OH (United States), Reeju Pokharel, Alexander Scheinker, Stephen R. Niezgoda
Read original paper ↗ ·JARVIS-Leaderboard: a large scale benchmark of materials design methods
npj Computational Materials · 2024
Kamal Kumar Choudhary, Daniel Wines, Kangming Li, Kevin F. Garrity, Vishu Gupta, Aldo Humberto Romero, Jaron T. Krogel, Kayahan Saritas, Addis Fuhr, Panchapakesan Ganesh, Paul R. C. Kent, Keqiang Yan, Yuchao Lin, Shuiwang Ji, Ben J. Blaiszik, Patrick Reiser, Pascal Friederich, Ankit Agrawal, Pratyush Tiwary, Eric R. Beyerle, Peter Minch, Trevor David Rhone, Ichiro Takeuchi, Robert B. Wexler, Arun Mannodi‐Kanakkithodi, Elif Ertekin, Avanish Mishra, Nithin Mathew, Mitchell A. Wood, Andrew Rohskopf, Jason R. Hattrick-Simpers, Shih‐Han Wang, Luke E. K. Achenie, Hongliang Xin, Maureen E. Williams, Adam J. Biacchi, Francesca Tavazza
Read original paper ↗ ·Tunable Energy Absorption in 3D-Printed Data-Driven Diatom-Inspired Architected Materials
ACS Materials Letters · 2024
Ludovico Musenich, Alessandro Stagni, Lucio Derin, Flavia Libonati
Read original paper ↗ ·Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization
ChemRxiv · 2024
Ramsey Issa, Robert Sorenson, Taylor D. Sparks
Read original paper ↗ ·A framework for general-purpose microscopic image analysis via self-supervised learning
Materials Characterization · 2024
Zhiwei Zheng, Xuezheng Yue, Jincheng Wang, Juan Hou
Read original paper ↗ ·Selective adsorption of coalbed methane on multilayer defective graphene nanostructures and their Mn-modified nanostructures: A DFT study
Surfaces and Interfaces · 2024
Chenxiaoyu Zhang, Dongwu Yang, Shaobin Yang, Dingjin He, Yingkai Xia, Jiarui Li
Read original paper ↗ ·Comparative Study on Different CNN Architectures Developed on Microstructural Classification in Al-Si Alloys
Archives of Metallurgy and Materials · 2024
Mahmut Furkan Kalkan, Mehmet Aladağ, Krzysztof Jan Kurzydłowski, Necip Fazıl Yilmaz, Abdulcabbar Yavuz
Read original paper ↗ ·Implementation of quantum machine learning in predicting corrosion inhibition efficiency of expired drugs
Materials Today Communications · 2024
Muhammad Reesa Rosyid, Lubna Mawaddah, Akbar Priyo Santosa, Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Read original paper ↗ ·Machine Learning to Predict the Effect of Stress on Iron Loss and Its Frequency Dependence in Non-Oriented Electrical Steels
MATERIALS TRANSACTIONS · 2024
Kyohei Hayakawa, Isao Matsui, Yuichi Sekine, Takaharu Maeguchi
Read original paper ↗ ·Advancements and prospects of deep learning in biomaterials evolution
Cell Reports Physical Science · 2024
Shuailin You, Ying Fan, Yeyun Chen, Xiran Jiang, Wanting Liu, Xin-yue Zhou, Jin Zhang, Jing Zheng, Huazhe Yang, Xu Hou
Read original paper ↗ ·Metallurgical Alchemy: Synthesizing Steel Microstructure Images Using DCGANs
Applied Sciences · 2024
Jorge Muñoz-Ródenas, Francisco García‐Sevilla, V. Miguel, J. Coello, Alberto Martínez-Martínez
Read original paper ↗ ·Investigasi Model Machine Learning Regresi Pada Senyawa Obat Sebagai Inhibitor Korosi
Jurnal Algoritma · 2024
Muhammad Reesa Rosyid, Lubna Mawaddah, Muhamad Akrom
Read original paper ↗ ·A feature restoration for machine learning on anti-corrosion materials
Case Studies in Chemical and Environmental Engineering · 2024
Supriadi Rustad, Muhamad Akrom, Totok Sutojo, Hermawan Kresno Dipojono
Read original paper ↗ ·Human movement monitoring system for classification of strength exercises and verification of their execution technique
Journal of Modern Science · 2024
Beata Wójcik, Michał Błaszczykowski, Edmund Wąsik
Read original paper ↗ ·A deep learning-based crystal plasticity finite element model
Scripta Materialia · 2024
Yuwei Mao, Shahriyar Keshavarz, Muhammed Nur Talha Kilic, Kewei Wang, Youjia Li, Andrew C. E. Reid, Wei‐keng Liao, Alok Choudhary, Ankit Agrawal
Read original paper ↗ ·Technology Roadmapping: Data Science Roadmapping of Networked Organizations' Strategic Planning for Artificial Intelligence
Venue not supplied by source · 2024
Kerem Kayabay, Atilla Kılınç, Mert Onuralp Gökalp, Ebru Gökalp, Tugrul Unsal Daim
Read original paper ↗ ·Deep learning revealed statistics of the MgO particles dissolution rate in a CaO–Al2O3–SiO2–MgO slag
Scientific Reports · 2024
Fereshteh Falah Chamasemani, Florian Lenzhofer, Roland Brunner
Read original paper ↗ ·Evolution of prediction models for road surface irregularity: Trends, methods and future
Construction and Building Materials · 2024
Yanan Wu, Yafeng Pang, Xingyi Zhu
Read original paper ↗ ·Three-dimensional reconstruction of porous media by fusing multi-grid image features based on extended feature pyramid network
Geoenergy Science and Engineering · 2024
Juan Li, Qizhi Teng, Xiaohong Wu, Honggang Chen, Xiaohai He
Read original paper ↗ ·A micromechanics-based artificial neural networks model for rapid prediction of mechanical response in short fiber reinforced rubber composites
International Journal of Solids and Structures · 2024
Shenghao Chen, Qun Li, Yingxuan Dong, Junling Hou
Read original paper ↗ ·Performance assessment of sustainable asphalt concrete using steel slag, with an artificial neural network prediction of asphalt concrete behavior
Case Studies in Construction Materials · 2024
Lahcen Es-samlali, Yassine El Haloui, Fahd Oudrhiri Hassani, Abdelmonaim Tlidi, Abderrahman bekri
Read original paper ↗ ·Graph neural network guided design of novel deep-ultraviolet optical materials with high birefringence
Science China Materials · 2024
Ivan A. Kruglov, Liudmila A. Bereznikova, Congwei Xie, Dongdong Chu, Ke Li, Evgenii Tikhonov, Abudukadi Tudi, Arslan Mazitov, Min Zhang, Shilie Pan, Zhihua Yang
Read original paper ↗ ·Proton transfer driven by the fluctuation of water molecules in chitin film
The Journal of Chemical Physics · 2024
Hiroshi Matsui, Y. Takebe, T. Takahashi, Yuka Ikemoto, Yasumitsu Matsuo
Read original paper ↗ ·Deep Learning and Machine Learning for Materials Design
IEEE International Symposium on Logistics and Industrial Informatics (LINDI) · 2024
Mohammed Mudabbiruddin, Judit Takacs, Amir Hosein Mosavi, Felde Imre, Narjes Nabipour
Read original paper ↗ ·XElemNet: towards explainable AI for deep neural networks in materials science
Scientific Reports · 2024
Kewei Wang, Vishu Gupta, C. S. George Lee, Yuwei Mao, Muhammed Nur Talha Kilic, Youjia Li, Zanhua Huang, Wei‐keng Liao, Alok Choudhary, Ankit Agrawal
Read original paper ↗ ·Superconductor Discovery in the Emerging Paradigm of Materials Informatics
Chemistry of Materials · 2024
Tran Doan Huan, Hieu‐Chi Dam, Christopher Künneth, Vu Ngoc Tuoc, Hiori Kino
Read original paper ↗ ·DYAD: Locality-aware Data Management for accelerating Deep Learning Training
IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) · 2024
Hariharan Devarajan, Ian Gordon Lumsden, Chen Wang, Konstantia Georgouli, Tom Scogland, Jae-Seung Yeom, Michela Taufer
Read original paper ↗ ·Analysis of the possibility of using exploration and learning algorithms in the production of castings
Archives of Civil and Mechanical Engineering · 2024
Adam Bitka, Mateusz Witkowski, Krzysztof Jaśkowiec, Marcin Małysza, Łukasz Marcjan, Dorota Wilk-Kołodziejczyk
Read original paper ↗ ·Matini-Net: Versatile Material Informatics Research Framework for Feature Engineering and Deep Neural Network Design
Journal of Chemical Information and Modeling · 2024
Myeonghun Lee, Taehyun Park, Kyoungmin Min
Read original paper ↗ ·Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility
Machine Learning Science and Technology · 2024
Ryan M. Jacobs, Lane E. Schultz, Aristana Scourtas, K. J. Schmidt, Owen Price-Skelly, Will Engler, Ian T Foster, Ben J. Blaiszik, Paul M. Voyles, Dane D. Morgan
Read original paper ↗ ·Artificial Intelligence in Metamaterial Informatics for Sonic Frequency Mechanical Identification Tags
Advanced Functional Materials · 2024
Daniel Saatchi, Myung‐Joon Lee, Tushar Prashant Pandit, Manmatha Mahato, Il‐Kwon Oh
Read original paper ↗ ·A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors
Theoretical Chemistry Accounts · 2024
Gustina Alfa Trisnapradika, Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai
Read original paper ↗ ·Application and feasibility analysis of knowledge-based machine learning in predicting fatigue performance of stainless steel
Case Studies in Construction Materials · 2024
Jia Wang, Dongkui Fan, C.S. Cai
Read original paper ↗ ·Combining Transfer Learning and Representation Learning to Improve Predictive Analytics on Small Materials Data
International Conference on Machine Learning and Applications · 2024
Vishu Gupta, Wei‐keng Liao, Alok Choudhary, Ankit Agrawal
Read original paper ↗ ·Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing
International Conference on Machine Learning and Applications · 2024
Kewei Wang, Yuwei Mao, Mahmudul Hasan, Md. Maruf Billah, Muhammed Nur Talha Kilic, Vishu Gupta, Wei‐keng Liao, Alok Choudhary, Pınar Acar, Ankit Agrawal
Read original paper ↗ ·Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder
International Conference on Machine Learning and Applications · 2024
Muhammed Nur Talha Kilic, Yuwei Mao, Vishu Gupta, Alok Choudhary, Wei‐keng Liao, Ankit Agrawal
Read original paper ↗ ·Research Methods Utilizing Materials Informatics and Molecular Dynamics for the Development of Road-Pavement Materials (II): Material Research Trends Using Artificial Intelligence Technology
International Journal of Highway Engineering · 2024
Hyun Jin Joo, Tae Young Yun, Seung Bo Shim
Read original paper ↗ ·A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images
SSRN Electronic Journal · 2025
Kungang Zhang, Daniel W. Apley, Wei Chen, Wing Kam Liu, L. Catherine Brinson
Read original paper ↗ ·Advanced computational techniques: Bridging metaheuristic optimization and deep learning for material design through image enhancement
Elsevier eBooks · 2025
Jagrati Talreja, Divya Chauhan
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 ↗ ·