Papers citing Statistical inference and adaptive design for materials discovery
Machine Learning Assisted Composition Effective Design for Precipitation Strengthened Copper Alloys
Acta Materialia · 2021-01-01
Hongtao Zhang, Huadong Fu, Shuaicheng Zhu, Wei Yong, Jianxin Xie
Read original paper ↗ ·Machine learning-guided design and development of metallic structural materials
Journal of Materials Informatics · 2021-01-01
Jinxin Yu, Shengkun Xi, Shaobin Pan, Yongjie Wang, Qinghua Peng, Rongpei Shi, Cuiping Wang, Xingjun Liu
Read original paper ↗ ·Sparse quantum Gaussian processes to counter the curse of dimensionality
Quantum Machine Intelligence · 2021-02-17
Gaweł Kuś, Sybrand van der Zwaag, Miguel Aníbal Bessa
Read original paper ↗ ·Prediction of the Electronic Work Function by Regression Algorithm in Machine Learning
IEEE International Conference on Big Data Analytics (ICBDA) · 2021-03-05
Na Li, Tianxin Zong, Zhigang Zhang
Read original paper ↗ ·Efficient sampling for decision making in materials discovery*
Chinese Physics B · 2021-03-24
Yuan Tian, Turab Lookman, Dezhen Xue
Read original paper ↗ ·Predictive descriptors in machine learning and data-enabled explorations of high-entropy alloys
Computational Materials Science · 2021-03-31
Ankit Roy, Ganesh Balasubramanian
Read original paper ↗ ·Machine-learning micropattern manufacturing
Nano Today · 2021-04-19
Si Wang, Ziao Shen, Zhenyu Shen, Yuanjun Dong, Yanran Li, Yuxin Cao, Yanmei Zhang, Shengshi Guo, Jianwei Shuai, Yun Mo Yang, Changjian Lin, Xun Chen, Xingcai Zhang, Qiaoling Huang
Read original paper ↗ ·A new active learning approach for global optimization of atomic clusters
Theoretical Chemistry Accounts · 2021-05-17
Maicon Pierre Lourenço, Breno R. L. Galvão, Lizandra Barrios-Herrera, Jiří Hostaš, Alain Tchagang, Mateus Xavier Silva, Dennis Russell Salahub
Read original paper ↗ ·Porous Metal Properties Analysis: A Machine Learning Approach
JOM · 2021-06-10
Edgar Avalos-Gauna, Yuyuan Zhao, Leon F. Palafox, Pedro Ortiz-Monasterio
Read original paper ↗ ·Bayesian optimization for goal-oriented multi-objective inverse material design
iScience · 2021-06-24
Kyohei Hanaoka
Read original paper ↗ ·Autonomous experimentation systems for materials development: A community perspective
Matter · 2021-07-26
Eric A. Stach, Brian DeCost, Aaron Gilad Kusne, Jason R. Hattrick-Simpers, Keith A. Brown, Kristofer G. Reyes, Joshua Schrier, Simon J. L. Billinge, Tonio Buonassisi, Ian T Foster, Carla Pedro Gomes, John M. Gregoire, Apurva Mehta, Joseph H. Montoya, Elsa Olivetti, Chiwoo Park, Eli Rotenberg, Semion K. Saikin, Sylvia Smullin, Valentin Stanev, Benji Maruyama
Read original paper ↗ ·Machine learning workflow for microparticle composite thin-film process–structure linkages
Journal of Coatings Technology and Research · 2021-08-06
Peter R. Griffiths, Tequila A. L. Harris
Read original paper ↗ ·Machine learning-based discovery of molecules, crystals, and composites: A perspective review
Korean Journal of Chemical Engineering · 2021-09-08
Sangwon Lee, Ha-Eun Byun, Mujin Cheon, Jihan Kim, Jay H. Lee
Read original paper ↗ ·Bayesian optimization for chemical products and functional materials
Current Opinion in Chemical Engineering · 2021-10-22
Ke Wang, Alexander W. Dowling
Read original paper ↗ ·Polymer Sequence Design via Active Learning
arXiv (Cornell University) · 2021-11-18
Praneeth S Ramesh, Tarak K. Patra
Read original paper ↗ ·Disentangling the effect of doping chemistry on the energy storage properties of barium titanate ferroelectrics using data science tools
Journal of Materials Chemistry C · 2022-01-01
Ruihao Yuan, Deqing Xue, Jinshan Li, Dezhen Xue, Turab Lookman
Read original paper ↗ ·Review on Data-driven Method for Property Prediction of Iron and Steel Wear-resistant Materials
Journal of Mechanical Engineering · 2022-01-01
Yuan Liu, WEI Shizhong
Read original paper ↗ ·Uncertainty Quantification in Computational Materials Engineering: Methods and Deployment Contexts
Journal of Computational and Data-Driven Materials Engineering · 2022-01-01
Ahmed Mansour, Omar Saeed
Read original paper ↗ ·Global‐Oriented Strategy for Searching Ultrastrength Martensitic Stainless Steels
Advanced Theory and Simulations · 2022-01-24
Xiaobing Hu, Jiajun Zhao, Junjie Li, Zhijun Wang, Yi-Ming Chen, Jincheng Wang
Read original paper ↗ ·Dissimilar welding and brazing of zirconium and its alloys: Methods, parameters, metallurgy and properties of joints
Journal of Manufacturing Processes · 2022-02-03
Mikhail S. Slobodyan
Read original paper ↗ ·Efficient Exploration of Microstructure-Property Spaces via Active Learning
Frontiers in Materials · 2022-02-14
Lukas Morand, Norbert Link, Tarek Iraki, Johannes Dornheim, Dirk Helm
Read original paper ↗ ·Comparison of conceptually different multi-objective Bayesian optimization methods for material design problems
Materials Today Communications · 2022-03-25
Kyohei Hanaoka
Read original paper ↗ ·Accelerated materials design using batch Bayesian optimization: A case study for solving the inverse problem from materials microstructure to process specification
Computational Materials Science · 2022-04-21
Pejman Honarmandi, Vahid Attari, Raymundo Arróyave
Read original paper ↗ ·Rapid design of secondary deformation-aging parameters for ultra-low Co content Cu-Ni-Co-Si-X alloy via Bayesian optimization machine learning
International Journal of Minerals Metallurgy and Materials · 2022-05-23
Hongtao Zhang, Huadong Fu, Yuheng Shen, Jianxin Xie
Read original paper ↗ ·Machine learning-assisted design of biomedical high entropy alloys with low elastic modulus for orthopedic implants
Journal of Materials Science · 2022-06-01
Huseyin Can Ozdemir, E. Bedir, Rifat Yilmaz, Mustafa Baris Yagci, Demircan Canadinç
Read original paper ↗ ·Optimal Weighted Multiple-Testing Procedure for Clinical Trials
Mathematics · 2022-06-09
Hanan M . Hammouri, Marwan Alquran, Ruwa Abdel Muhsen, Jaser Altahat
Read original paper ↗ ·A Data-Driven Framework to Select a Cost-Efficient Subset of Parameters to Qualify Sourced Materials
Integrating materials and manufacturing innovation · 2022-07-12
Nishan M. Senanayake, Jennifer L. W. Carter, Cheryl L. Bowman, David L. Ellis, Joshua Stuckner
Read original paper ↗ ·Design of super-hard high-entropy ceramics coatings via machine learning
Ceramics International · 2022-07-30
Xiaoqian Xu, Xiaobo Wang, Shaoyu Wu, Luchun Yan, Tao Guo, Kewei Gao, Xiaolu Pang, Alex A. Volinsky
Read original paper ↗ ·Now What Sequence? Pre-trained Ensembles for Bayesian Optimization of Protein Sequences
bioRxiv (Cold Spring Harbor Laboratory) · 2022-08-06
Ziyue Yang, Katarina A. Milas, Andrew D. White
Read original paper ↗ ·A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems
Integrating materials and manufacturing innovation · 2022-10-31
Rohan Casukhela, Sriram Vijayan, Joerg Ralf Jinschek, Stephen R. Niezgoda
Read original paper ↗ ·Machine learning overcomes human bias in the discovery of self-assembling peptides
Nature Chemistry · 2022-10-31
Rohit Batra, Troy D. Loeffler, Henry Chan, Srilok Srinivasan, Honggang Cui, Ivan V. Korendovych, Vikas Nanda, Liam C. Palmer, Lee A. Solomon, Harry Christopher Fry, Subramanian K. R. S. Sankaranarayanan
Read original paper ↗ ·Recent developments in the application of machine-learning towards accelerated predictive multiscale design and additive manufacturing
Virtual and Physical Prototyping · 2022-11-20
Sandeep Suresh Babu, Abdel‐Hamid I. Mourad, Khalifa Hamad Harib, Sanjairaj Vijayavenkataraman
Read original paper ↗ ·Polymer sequence design via molecular simulation-based active learning
Soft Matter · 2022-12-07
Praneeth S Ramesh, Tarak K. Patra
Read original paper ↗ ·Accelerated discovery of cost-effective Nd–Fe–B magnets through adaptive learning
Journal of Materials Chemistry A · 2023-01-01
Jie Chen, Jian Liu, Minjuan Zhang, Zhanji Dong, Zhongjie Peng, Xinyi Ji, Mei Liu, Lanting T. Zhang, Anqi Zhang, Hong Min Zhu
Read original paper ↗ ·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 ↗ ·Accelerated design of lead-free high-performance piezoelectric ceramics with high accuracy via machine learning
Journal of Advanced Ceramics · 2023-05-04
Wei Jie Gu, Bin Yang, Dengfeng Li, Xunzhong Shang, Zhiyong Zhou, Jinming Guo
Read original paper ↗ ·Autonomous x-ray scattering
Nanotechnology · 2023-05-04
Kevin G. Yager, Pawel W Majewski, Marcus M. Noack, Masafumi Fukuto
Read original paper ↗ ·Three-step learning strategy for designing 15Cr ferritic steels with enhanced strength and plasticity at elevated temperature
Journal of Material Science and Technology · 2023-06-01
Xiaobing Hu, Yiming Chen, Jianlin Lu, Chen Xing, Jiajun Zhao, Qingfeng Wu, Yuhao Jia, Junjie Li, Zhijun Wang, Jincheng Wang, Jincheng Wang
Read original paper ↗ ·Recent applications of machine learning in alloy design: A review
Materials Science and Engineering R Reports · 2023-06-16
Mingwei Hu, Qiyang Tan, Ruth Knibbe, Miao Xu, Bin Jiang, Sen Wang, Xue Li, Mingxing Zhang
Read original paper ↗ ·Hybrid Data‐Driven Discovery of High‐Performance Silver Selenide‐Based Thermoelectric Composites
Advanced Materials · 2023-07-26
Wenjie Shang, Minxiang Zeng, A. N. M. Tanvir, Ke Wang, Mortaza Saeidi‐Javash, Alexander W. Dowling, Tengfei Luo, Yanliang Zhang
Read original paper ↗ ·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, W. O. Soboyejo
Read original paper ↗ ·Rapid discovery of promising materials via active learning with multi-objective optimization
Materials Today Communications · 2023-10-05
Taehyun Park, Eunsong Kim, Jiwon Sun, Minseon Kim, 홍은화, Kyoungmin Min
Read original paper ↗ ·Discrete and mixed-variable experimental design with surrogate-based approach
Digital Discovery · 2024-01-01
Mengjia Zhu, Austin M. Mroz, Lingfeng Gui, Kim E. Jelfs, Alberto Bemporad, Ehecatl Antonio del Rio‐Chanona, Ye Seol Lee
Read original paper ↗ ·Advances in materials informatics: a review
Journal of Materials Science · 2024-02-01
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, Veena Raj, Izan Izwan Misnon, Seeram Ramakrishna, Rajan Jose
Read original paper ↗ ·Toward ultra-high strength high entropy alloys via feature engineering
Journal of Material Science and Technology · 2024-03-30
Yan Zhang, Cheng Wen, Pengfei Dang, Turab Lookman, Dezhen Xue, Yanjing Su
Read original paper ↗ ·Guided experimental design for static nonparametric modeling
Chemical Engineering Science · 2024-06-06
Byanne Malluhi, Radhia Fezai, Costas Kravaris, Hazem Numan Nounou, Ma'moun Al‐Rawashdeh, Mohamed Numan Nounou
Read original paper ↗ ·Multi-objective design of Ni-B-Al master alloy by adaptive machine learning-driven aluminothermic reduction experiment
Journal of Alloys and Compounds · 2024-11-05
Xiaobing Hu, Huan Li, Cheng Liu, Jialong Kang, Lin Wang, Chen Xing, Jinping Wu, Jincheng Wang
Read original paper ↗ ·A study of the role of data and model uncertainty in active learning
Computational Materials Science · 2024-11-07
Yahao Li, Errui Jiang, Ziqi Ni, Wudi Li, Ming Huang, Fengyuan Zhao, Fengqi Liu, Yicong Ye, Shuxin Bai
Read original paper ↗ ·Machine‐Learned Modeling for Accelerating Organic Solvent Design in Metal‐Ion Batteries
Advanced Theory and Simulations · 2024-11-19
Wiwittawin Sukmas, Jiaqian Qin, Rungroj Chanajaree
Read original paper ↗ ·Active learning-enabled the discovery of ultra-high saturation magnetization soft magnetic alloys
Scripta Materialia · 2024-12-04
Yahao Li, Errui Jiang, Kaijia Hu, Yongqian Peng, Ziqi Ni, Fengqi Liu, Yicong Ye, Shun Li, Shuxin Bai
Read original paper ↗ ·