Papers citing Semi-supervised machine-learning classification of materials synthesis procedures
Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature
Scientific Data · 2022
Zheren Wang, Olga Kononova, Kevin Cruse, Tanjin He, Haoyan Huo, Yuxing Fei, Yan Zeng, Yingzhi Sun, Zijian Cai, Wenhao Q. Sun, Gerbrand Ceder
Read original paper ↗ ·Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities
Scientific Data · 2022
Kevin Cruse, Amalie Trewartha, Sang‐Hoon Lee, Zheren Wang, Haoyan Huo, Tanjin He, Olga Kononova, Anubhav Jain, Gerbrand Ceder
Read original paper ↗ ·Machine learning in concrete science: applications, challenges, and best practices
npj Computational Materials · 2022
Zhanzhao Li, Jinyoung Yoon, Rui Zhang, Farshad Rajabipour, Wil V. Srubar, Ismaïla Dabo, Aleksandra Radlińska
Read original paper ↗ ·Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
Chemical Reviews · 2022
Haoxin Mai, Tu C. Le, Dehong Chen, David Alan Winkler, Rachel A. Caruso
Read original paper ↗ ·Emerging machine learning strategies for diminishing measurement uncertainty in SPM nanometrology
Surface Topography Metrology and Properties · 2022
Linh Thi Phuong Nguyen, Bernard Haochih Liu
Read original paper ↗ ·Image-based machine learning for materials science
Journal of Applied Physics · 2022
Lei Zhang, Shaofeng Shao
Read original paper ↗ ·Prediction and screening of glass properties based on high-throughput molecular dynamics simulations and machine learning
Journal of Non-Crystalline Solids · 2022
Yong An Yang, Han Jiang, Hua Zhai, Jiarui Chen, Qi Jiang, Shuyong Chen, Bao Li, Xin Cao
Read original paper ↗ ·Machine learning for a sustainable energy future
Nature Reviews Materials · 2022
Zhenpeng Yao, Yanwei Lum, Andrew K. Johnston, L.M. Mejía-Mendoza, Xin Zhou, Yonggang Wen, Alán Aspuru‐Guzik, Edward Hartley Sargent, Zhi Wei Seh
Read original paper ↗ ·Machine Learning in the Development of Adsorbents for Clean Energy Application and Greenhouse Gas Capture
Advanced Science · 2022
Haoxin Mai, Tu C. Le, Dehong Chen, David Alan Winkler, Rachel A. Caruso
Read original paper ↗ ·Artificial intelligence for materials research at extremes
MRS Bulletin · 2022
Benji Maruyama, Jason R. Hattrick-Simpers, William D. Musinski, Lori L. Graham-Brady, Kang Li, Jonathan D. Hollenbach, A. Singh, Mitra L. Taheri
Read original paper ↗ ·Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Progress in Materials Science · 2022
Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin
Read original paper ↗ ·Big Data in a Nano World: A Review on Computational, Data-Driven Design of Nanomaterials Structures, Properties, and Synthesis
ACS Nano · 2022
Ruoxi Yang, Caitlin A. McCandler, Oxana Andriuc, Martin Siron, Rachel Woods‐Robinson, Matthew K. Horton, Kristin Aslaug Persson
Read original paper ↗ ·Exploring Optimal Reaction Conditions Guided by Graph Neural Networks and Bayesian Optimization
ACS Omega · 2022
Youngchun Kwon, Dongseon Lee, Jin Woo Kim, Youn-Suk Choi, Sun Kim
Read original paper ↗ ·How machine learning can accelerate electrocatalysis discovery and optimization
Materials Horizons · 2022
Stephan N. Steinmann, Qing Wang, Zhi Wei Seh
Read original paper ↗ ·Development of a baseline model for MAX/MXene synthesis recipes extraction via pre-trained model with domain knowledge
Journal of Materials Research and Technology · 2022
Meiting Zhao, Erxiao Wu, Dongyang Li, Junfei Luo, Xin Zhang, Zhuquan Wang, Qing Huang, Shiyu Du, Yiming Zhang
Read original paper ↗ ·Process-Informatics-Assisted Preparation of Lithium Titanate Crystals with Various Sizes and Morphologies
Industrial & Engineering Chemistry Research · 2022
Daigo Kaneko, Hiromasa Kaneko, Fumitaka Hayashi, Kohei Fukaishi, Tetsuya Yamada, Katsuya Teshima
Read original paper ↗ ·A database of molecular properties integrated in the Materials Project
Digital Discovery · 2023
Evan Walter Clark Spotte‐Smith, Orion Cohen, Samuel M. Blau, Jason M. Munro, Ruoxi Yang, Rishabh D. Guha, Hetal D. Patel, Sudarshan Vijay, Patrick Huck, Ryan Kingsbury, Matthew K. Horton, Kristin Aslaug Persson
Read original paper ↗ ·Algorithmic Novelty vs Chemical Novelty: Rethinking Innovation Metrics
Journal of Computational and Data-Driven Materials Engineering · 2023
Lucas Andrade, Mariana Lopes
Read original paper ↗ ·Deep learning of electrochemical CO 2 conversion literature reveals research trends and directions
Journal of Materials Chemistry A · 2023
Jiwoo Choi, Kihoon Bang, Suji Jang, Jaewoong Choi, Juanita Ordoñez, David J. Buttler, Anna M. Hiszpanski, T. Yong-Jin Han, Seok Su Sohn, Byungju Lee, Kwang‐Ryeol Lee, Sang Soo Han, Dong-Hun Kim
Read original paper ↗ ·Machine Learning Application in Battery Prediction: A Systematic Literature Review and Bibliometric Study
E3S Web of Conferences · 2023
Azure Kamul, Nico Hananda, Christian Harito, Endang Djuana, Gregorius Natanael Elwirehardja, Bens Pardamean, Fergyanto Efendy GUNAWAN, Arief Suriadi Budiman, Muhammad Asrol, Anak Agung Ngurah Perwira Redi, Tim Pasang
Read original paper ↗ ·Machine learning in energy chemistry: introduction, challenges and perspectives
Energy Advances · 2023
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Read original paper ↗ ·Materials synthesizability and stability prediction using a semi-supervised teacher-student dual neural network
Digital Discovery · 2023
Daniel Gleaves, Nihang Fu, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu
Read original paper ↗ ·Optimization without Causality: Limits of Correlation-Driven Materials Design
Journal of Computational and Data-Driven Materials Engineering · 2023
Ravi Kumar, Neha Sharma, Arjun Nair
Read original paper ↗ ·Interpretable Machine Learning Enabled Inorganic Reaction Classification and Synthesis Condition Prediction
Chemistry of Materials · 2023
Christopher J. Karpovich, Elton Pan, Zach Jensen, Elsa Olivetti
Read original paper ↗ ·Probe microscopy is all you need *
Machine Learning Science and Technology · 2023
Sergei V. Kalinin, Rama Krishnan Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin M. Roccapriore, Maxim A Ziatdinov
Read original paper ↗ ·Showing Flow: Comparing Usability of Chord and Sankey Diagrams
CHI Conference on Human Factors in Computing Systems · 2023
Carl A. Gutwin, Aristides Mairena, Venkat Bandi
Read original paper ↗ ·Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys
Science China Technological Sciences · 2023
Yue Liu, Lin Ding, Zhengwei Yang, Xianyuan Ge, DaHui Liu, Wei Liu, Tao Yu, Maxim Avdeev, Siqi Shi
Read original paper ↗ ·Designing materials acceleration platforms for heterogeneous CO2 photo(thermal)catalysis
Matter · 2023
Andrew Wang, Carlota Bozal‐Ginesta, Sai Govind Hari Kumar, Alán Aspuru‐Guzik, Geoffrey Alan Ozin
Read original paper ↗ ·Reinforced active learning for CVD-grown two-dimensional materials characterization
IISE Transactions · 2023
Zebin Li, Fei Yao, Hongyue Sun
Read original paper ↗ ·Machine-Learning-Enabled Framework in Engineering Plastics Discovery: A Case Study of Designing Polyimides with Desired Glass-Transition Temperature
ACS Applied Materials & Interfaces · 2023
Songyang Zhang, Xiaojie He, Xuejian Xia, Peng Xiao, Qi Wu, Feng Zheng, Qinghua Lu
Read original paper ↗ ·Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques
Energy · 2023
Mohammad Rahimi, Hossein Mashhadimoslem, Hung Vo Thanh, Benyamin Ranjbar, Mobin Safarzadeh Khosrowshahi, Abbas Rohani, Ali Elkamel
Read original paper ↗ ·Accurate, interpretable predictions of materials properties within transformer language models
Patterns · 2023
Vadim Korolev, Pavel V. Protsenko
Read original paper ↗ ·Data driven design of compositionally complex energy materials
Computational Materials Science · 2023
Lin Wang, Zhengda He, Bin Ouyang
Read original paper ↗ ·Machine learning in physics: A short guide
Europhysics Letters (EPL) · 2023
Francisco A. Rodrigues
Read original paper ↗ ·Alloy synthesis and processing by semi-supervised text mining
npj Computational Materials · 2023
Weiren Wang, Xue Feng Jiang, Shaohan Tian, Pei Liu, Turab Lookman, Yanjing Su, Jianxin Xie
Read original paper ↗ ·MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Advanced Materials · 2023
Zhilong Wang, An Chen, Kehao Tao, Yanqiang Han, Jinjin Li
Read original paper ↗ ·Machine learning-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectra
Computational Materials Science · 2023
Natalia V. Kireeva, Vladislav S. Pervov, Aslan Yu. Tsivadze
Read original paper ↗ ·Combining text mining, in situ characterization, and ab initio calculations to rationalize BiFeO3 crystallization pathways
Matter · 2023
Maged Abdelsamie, Kootak Hong, Kevin Cruse, Christopher J. Bartel, Viktoriia Baibakova, Amalie Trewartha, Anubhav Jain, Gerbrand Ceder, Carolin M. Sutter‐Fella
Read original paper ↗ ·Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials
Journal of Chemical Information and Modeling · 2023
Tong Xie, Yuwei Wan, Haoran Wang, Ina Østrøm, Shaozhou Wang, Mingrui He, Rong Dong Deng, Xinyuan Wu, Clara Grazian, Chunyu Kit, Bram Hoex
Read original paper ↗ ·Machine learning–assisted colloidal synthesis: A review
Materials Today Chemistry · 2023
Dayana Gulevich, Igor R. Nabiev, Pavel S. Samokhvalov
Read original paper ↗ ·Quantitative Topic Analysis of Materials Science Literature Using Natural Language Processing
ACS Applied Materials & Interfaces · 2023
Jaewoong Choi, Byungju Lee
Read original paper ↗ ·Text Mining the Literature to Inform Experiments and Rationalize Impurity Phase Formation for BiFeO3
Chemistry of Materials · 2023
Kevin Cruse, Viktoriia Baibakova, Maged Abdelsamie, Kootak Hong, Christopher J. Bartel, Amalie Trewartha, Anubhav Jain, Carolin M. Sutter‐Fella, Gerbrand Ceder
Read original paper ↗ ·Automated extraction of synthesis parameters of pulsed laser-deposited materials from scientific literature
Digital Discovery · 2024
Rajan Kumar, Ablokit Joshi, Salman A. Khan, Shikhar Misra
Read original paper ↗ ·Computational chemistry for water-splitting electrocatalysis
Chemical Society Reviews · 2024
Licheng Miao, Wenqi Jia, Xuejie Cao, Lifang Jiao
Read original paper ↗ ·Harnessing GPT-3.5 for text parsing in solid-state synthesis – case study of ternary chalcogenides
Digital Discovery · 2024
Maung Thway, Andre K. Y. Low, Samyak Khetan, Haiwen Dai, Jose Recatala‐Gomez, Andy Paul Chen, Kedar Hippalgaonkar
Read original paper ↗ ·Insights into the Development of Electrocatalysts Based on Information Extracted from Literatures Using Natural Language Processing
SSRN Electronic Journal · 2024
Na Qin, Lai Wei, Haibiao Chen
Read original paper ↗ ·Leveraging machine learning in porous media
Journal of Materials Chemistry A · 2024
Mostafa Delpisheh, Benyamin Ebrahimpour, Abolfazl Fattahi, Majid Siavashi, Hamed Mir, Hossein Mashhadimoslem, Mohammad Ali Abdol, Mina Ghorbani, Javad Shokri, Daniel Niblett, Khabat Khosravi, Shayan Rahimi, Seyed Mojtaba Alirahmi, Haoshui Yu, Ali Elkamel, Vahid Niasar, Mohamed Mamlouk
Read original paper ↗ ·Natural Language Processing
Machine intelligence for materials science · 2024
N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Read original paper ↗ ·Unsupervised learning and pattern recognition in alloy design
Digital Discovery · 2024
Ninad Bhat, N. Birbilis, Amanda Susan Barnard
Read original paper ↗ ·XRDMatch: a semi-supervised learning framework to efficiently discover room temperature lithium superionic conductors
Energy & Environmental Science · 2024
Zheng Wan, Zhenying Chen, Hao Chen, Yizhi Jiang, Jinhuan Zhang, Yidong Wang, Jindong Wang, Hao Sun, Zhongjie Zhu, Jinhui Zhu, Linyi Yang, Wei Ye, Shikun Zhang, Xing Xie, Yue Zhang, Xiaodong Zhuang, Xiao Dong He, Jinrong Yang
Read original paper ↗ ·