Papers citing Machine-learned and codified synthesis parameters of oxide materials
Artificial intelligence and machine learning in design of mechanical materials
Materials Horizons · 2020
Kai Guo, Zhenze Yang, Chi‐Hua Yu, Markus J. Buehler
Read original paper ↗ ·Literature mining for alternative cementitious precursors and dissolution rate modeling of glassy phases
Journal of the American Ceramic Society · 2020
Hugo Uvegi, Zach Jensen, Trong Nghia Hoang, Brian Traynor, Tunahan Aytaş, Richard Goodwin, Elsa Olivetti
Read original paper ↗ ·Analyzing Research Trends in Inorganic Materials Literature Using NLP
Lecture notes in computer science · 2021
Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa
Read original paper ↗ ·Far-from-equilibrium effects of electric and electromagnetic fields in ceramics synthesis and processing
MRS Bulletin · 2021
B. Reeja‐Jayan, Jian Luo
Read original paper ↗ ·Topic modeling and its applications in materials science and engineering
Materials Today Proceedings · 2021
Seema Rani, Mukesh Kumar
Read original paper ↗ ·Toward autonomous design and synthesis of novel inorganic materials
Materials Horizons · 2021
Nathan J. Szymanski, Yan Zeng, Haoyan Huo, Christopher J. Bartel, Haegyeom Kim, Gerbrand Ceder
Read original paper ↗ ·Opportunities and challenges of text mining in materials research
iScience · 2021
Olga Kononova, Tanjin He, Haoyan Huo, Amalie Trewartha, Elsa Olivetti, Gerbrand Ceder
Read original paper ↗ ·Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective
arXiv (Cornell University) · 2021
Rajendra Prasad Joshi, Neeraj Kumar
Read original paper ↗ ·MatScIE: An automated tool for the generation of databases of methods and parameters used in the computational materials science literature
Computational Materials Science · 2021
Souradip Guha, Ankan Mullick, Jatin Agrawal, Swetarekha Ram, Samir Ghui, Seung‐Cheol Lee, Satadeep Bhattacharjee, Pawan Goyal
Read original paper ↗ ·Data Science in Chemical Engineering: Applications to Molecular Science
Annual Review of Chemical and Biomolecular Engineering · 2021
Chowdhury M. Ashraf, Nisarg Joshi, David A. C. Beck, Jim Pfaendtner
Read original paper ↗ ·EXSCLAIM! -- An automated pipeline for the construction of labeled materials imaging datasets from literature
arXiv (Cornell University) · 2021
Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola Ferrier, Oliver Cossairt, Maria K. Y. Chan
Read original paper ↗ ·Functional and Material Properties in Nanocatalyst Design: A Data Handling and Sharing Problem
International Journal of Molecular Sciences · 2021
Daniel Lach, Uladzislau Zhdan, Adam Smoliński, Jarosław Polański
Read original paper ↗ ·Device Fabrication Knowledge Extraction from Materials Science Literature
Proceedings of the AAAI Conference on Artificial Intelligence · 2021
Neelanshi Wadhwa, S Sarath, Sapan Shah, Sreedhar Reddy, Pritwish Mitra, Deepak Jain, Beena Rai
Read original paper ↗ ·Machine learning-optimized synthesis of doped TiO2 with improved photocatalytic performance: A multi-step workflow supported by designed wet-lab experiments
Journal of Alloys and Compounds · 2021
Bowen Gao, Mingxuan Sun, Zhipeng Ding, Wenzhu Liu
Read original paper ↗ ·Looking through glass: Knowledge discovery from materials science literature using natural language processing
Patterns · 2021
Vineeth Venugopal, Sourav Sahoo, Mohd Faiz Mohammad Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
Read original paper ↗ ·Annotation and Classification of Graphs of Property Values Reported in Material Science Literature
Research Square · 2021
Naoki Iinuma, Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa
Read original paper ↗ ·Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
Chemical Reviews · 2021
John A. Keith, Valentín Vassilev-Galindo, Bingqing Cheng, Stefan Chmiela, Michael Gastegger, Klaus‐Robert Müller, Alexandre Tkatchenko
Read original paper ↗ ·Autonomous reinforcement learning agent for chemical vapor deposition synthesis of quantum materials
npj Computational Materials · 2021
Pankaj Rajak, Aravind Krishnamoorthy, Ankit Mishra, Rajiv K. Kalia, Aiichiro Nakano, Priya D. Vashishta
Read original paper ↗ ·An automated domain-independent text reading, interpreting and extracting approach for reviewing the scientific literature
arXiv (Cornell University) · 2021
Amauri Jardim de Paula
Read original paper ↗ ·An exploratory analysis: extracting materials science knowledge from unstructured scholarly data
The Electronic Library · 2021
Xintong Zhao, Jane Greenberg, Vanessa Meschke, Eric S. Toberer, Xiaohua Tony Hu
Read original paper ↗ ·Synthesis‐condition recommender system discovers novel inorganic oxides
Journal of the American Ceramic Society · 2021
Hiroyuki Hayashi, Keita Kouzai, Yuta Morimitsu, Isao Tanaka
Read original paper ↗ ·Recent machine learning guided material research - A review
Computational Condensed Matter · 2021
Mohammad Asaduzzaman Chowdhury, Nayem Hossain, Md. Bengir Ahmed Shuvho, Mohamad Fotouhi, Md Sakibul Islam, Md. Ramjan Ali, Mohammod Abul Kashem
Read original paper ↗ ·CrabNet for explainable deep learning in materials science: bridging the gap between academia and industry
Venue not supplied by source · 2021
Anthony Wang, Mahamad Salah Mahmoud, Mathias Czasny, Aleksander Gurlo
Read original paper ↗ ·Artificial Intelligence for Autonomous Molecular Design: A Perspective
Molecules · 2021
Rajendra Prasad Joshi, Neeraj Kumar
Read original paper ↗ ·Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature
arXiv (Cornell University) · 2021
Zheren Wang, Kononova, Olga, Kevin Cruse, Tanjin He, Haoyan Huo, Yuxing Fei, Yan Zeng, Yingzhi Sun, Zijian Cai, Wenhao Q. Sun, Gerbrand Ceder
Read original paper ↗ ·Annotation and Classification of Graphs of Property Values Reported in Material Science Literature
Research Square · 2021
Naoki Iinuma, Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa
Read original paper ↗ ·Progress towards machine learning reaction rate constants
Physical Chemistry Chemical Physics · 2021
Evan Komp, Nida Janulaitis, Stéphanie Valleau
Read original paper ↗ ·Biomimicry for natural and synthetic composites and use of machine learning in hierarchical design
Elsevier eBooks · 2022
Mario Milazzo, Flavia Libonati, Shengfei Zhou, Kai Guo, Markus J. Buehler
Read original paper ↗ ·Extracting and Analyzing Inorganic Material Synthesis Procedures in the Literature
IEEE Access · 2022
Kohei Makino, Fusataka Kuniyoshi, Jun Ozawa, Makoto Miwa
Read original paper ↗ ·Measurement Extraction with Natural Language Processing: A Review
Venue not supplied by source · 2022
Jan Göpfert, Patrick Kuckertz, Jann Michael Weinand, Leander Kotzur, Detlef Stolten
Read original paper ↗ ·ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols
Digital Discovery · 2022
Zheren Wang, Kevin Cruse, Yuxing Fei, Ann Chia, Yan Zeng, Haoyan Huo, Tanjin He, Bowen Deng, Olga Kononova, Gerbrand Ceder
Read original paper ↗ ·Machine Learning and Natural Language Processing Enable a Data-Oriented Experimental Design Approach for Producing Biochar and Hydrochar from Biomass
Chemistry of Materials · 2022
Amauri Jardim de Paula, Odair P. Ferreira, A. G. Souza Filho, Francisco Nepomuceno Filho, Carlos E. Andrade, Andréia Fonseca de Faria
Read original paper ↗ ·CrabNet for Explainable Deep Learning in Materials Science: Bridging the Gap Between Academia and Industry
Integrating materials and manufacturing innovation · 2022
Anthony Wang, Mahamad Salah Mahmoud, Mathias Czasny, Aleksander Gurlo
Read original paper ↗ ·Automated pipeline for superalloy data by text mining
npj Computational Materials · 2022
Weiren Wang, Xue Feng Jiang, Shaohan Tian, Pei Liu, Depeng Dang, Yanjing Su, Turab Lookman, Jianxin Xie
Read original paper ↗ ·A review of the recent progress in battery informatics
npj Computational Materials · 2022
Chen Ling
Read original paper ↗ ·Mining Insights on Metal–Organic Framework Synthesis from Scientific Literature Texts
Journal of Chemical Information and Modeling · 2022
Hyunsoo Park, Yeonghun Kang, Wonyoung Choe, Jihan Kim
Read original paper ↗ ·Artificial intelligence to bring nanomedicine to life
Advanced Drug Delivery Reviews · 2022
Nikita Serov, Vladimir V. Vinogradov
Read original paper ↗ ·Inverse Material Search and Synthesis Verification by Hand Drawings via Transfer Learning and Contour Detection
Small Methods · 2022
Nikita Serov, Vladimir V. Vinogradov
Read original paper ↗ ·Text Mining for Energy Materials
Journal of Research in Science and Engineering · 2022
Read original paper ↗ ·Challenges in Information-Mining the Materials Literature: A Case Study and Perspective
Chemistry of Materials · 2022
Andrew K. Smith, Vinayak Bhat, Qianxiang Ai, Chad M. Risko
Read original paper ↗ ·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 ↗ ·Distilling seed-assisted zeolite synthesis conditions by machine learning
Microporous and Mesoporous Materials · 2022
Duozheng Ma, Xin Li, Jun Liang, Zhendong Wang, Weimin Yang
Read original paper ↗ ·Perovskite- and Dye-Sensitized Solar-Cell Device Databases Auto-generated Using ChemDataExtractor
Scientific Data · 2022
Edward J. Beard, Jacqueline M. Cole
Read original paper ↗ ·Unleashing the Power of Knowledge Extraction from Scientific Literature in Catalysis
Journal of Chemical Information and Modeling · 2022
Yue Zhang, Cong Wang, Mya Soukaseum, Dionisios G. Vlachos, Hui Fang
Read original paper ↗ ·Coordination polymers as precursors of simple and complex oxides
International Journal of Applied Ceramic Technology · 2022
Hiroyuki Hayashi, Yuta Morimitsu, Ikko Tatsumi, Isao Tanaka
Read original paper ↗ ·Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions
Chemistry of Materials · 2022
Haoyan Huo, Christopher J. Bartel, Tanjin He, Amalie Trewartha, Alexander Dunn, Bin Ouyang, Anubhav Jain, Gerbrand Ceder
Read original paper ↗ ·An automatic descriptors recognizer customized for materials science literature
Journal of Power Sources · 2022
Yue Liu, Xianyuan Ge, Zhengwei Yang, Shiyu Sun, Dahui Liu, Maxim Avdeev, Siqi Shi
Read original paper ↗ ·Uncertainty Informed Screening for Safer Solvents used in the Synthesis of Perovskite Based Solar Cells via Machine Learning
ChemRxiv · 2022
Deepesh Giri, Arpan Mukherjee, Krishna Rajan
Read original paper ↗ ·Hydrogen Storage Prediction in Dibenzyltoluene as Liquid Organic Hydrogen Carrier Empowered with Weighted Federated Machine Learning
Mathematics · 2022
Ahsan Ali, Muhammad Adnan Khan, Hoimyung Choi
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 ↗ ·