Papers citing Data-driven materials research enabled by natural language processing and information extraction
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 ↗ ·Band gap information extraction from materials science literature – a pilot study
Aslib Journal of Information Management · 2022
Satanu Ghosh, Kun Lü
Read original paper ↗ ·Image-based machine learning for materials science
Journal of Applied Physics · 2022
Lei Zhang, Shaofeng Shao
Read original paper ↗ ·Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing
Research Square · 2022
Naveen S. Pagad, N Pradeep, Tulika Chakrabarti, Prąsun Chakrabarti, Ahmed A. Elngar, Martin Margala, Mohammad Nami, Neha Sharma, Samuel Frimpong
Read original paper ↗ ·Superconductivity information extraction from the literature: A new corpus and its evaluations
Advanced Engineering Informatics · 2022
Kyosuke Yamaguchi, Ryoji Asahi, Yutaka Sasaki
Read original paper ↗ ·Text Summarization towards Scientific Information Extraction
IEEE International Conference on eScience · 2022
Abigail Keller, Jacob David Furst, Daniela Stan Raicu, Peter Hastings, Roselyne Tchoua
Read original paper ↗ ·Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives
Advanced Energy Materials · 2022
Chang Woo Myung, Amir Hajibabaei, Ji‐Hyun Cha, Miran Ha, Junu Kim, Kwang S. Kim
Read original paper ↗ ·On scientific understanding with artificial intelligence
Nature Reviews Physics · 2022
Mario Krenn, Robert Pollice, Si Yue Guo, Matteo Aldeghi, Alba Cervera-Lierta, Pascal Friederich, Gabe Gomes, Florian Häse, Adrián Jinich, AkshatKumar Nigam, Zhenpeng Yao, Alán Aspuru‐Guzik
Read original paper ↗ ·Modeling materials under coupled extremes: Enabling better predictions of performance
MRS Bulletin · 2022
Aaron A. Kohnert, Brian D. Wirth, Chris M. Wolverton, Prasanna V. Balachandran, Laurent Capolungo
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 ↗ ·Data driven knowledge summarization of friction stir welded magnesium alloys literature by using natural language processing algorithms
International Journal on Interactive Design and Manufacturing (IJIDeM) · 2022
Akshansh Mishra
Read original paper ↗ ·Environmentally-Assisted Fatigue at Small Scales
Elsevier eBooks · 2022
Zhiping Xu
Read original paper ↗ ·Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing
Research Square · 2022
Naveen S. Pagad, N Pradeep, Tulika Chakrabarti, Prąsun Chakrabarti, Ahmed A. Elngar, Martin Margala, Mohammad Nami, Neha Sharma, Samuel Frimpong
Read original paper ↗ ·14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
Digital Discovery · 2023
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al‐Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M Bran, Stefan A. Bringuier, L. Catherine Brinson, Kamal Kumar Choudhary, Defne Çırcı, Sam Cox, Wibe Albert de Jong, Matthew L. Evans, Nicolas Gastellu, Jérôme Genzling, M.V. Gil, Ankur Kumar Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Galen Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Ranković, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Herck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T Foster, Andrew Dickson White, Ben J. Blaiszik
Read original paper ↗ ·A high-quality dataset construction method for text mining in materials science
Acta Physica Sinica · 2023
Yue Liu, Dahui Liu, Xianyuan Ge, Zhengwei Yang, Shuchang Ma, Zheyi Zou, Siqi Shi
Read original paper ↗ ·ChemDataWriter: a transformer-based toolkit for auto-generating books that summarise research
Digital Discovery · 2023
Shu Huang, Jacqueline M. Cole
Read original paper ↗ ·Data-driven design of electrocatalysts: principle, progress, and perspective
Journal of Materials Chemistry A · 2023
Shan Zhu, Kezhu Jiang, Biao Chen, Shijian Zheng
Read original paper ↗ ·Extracting structured seed-mediated gold nanorod growth procedures from scientific text with LLMs
Digital Discovery · 2023
Nicholas Walker, Sanghoon Lee, John M. Dagdelen, Kevin Cruse, Samuel Gleason, Alexander Dunn, Gerbrand Ceder, A. Paul Alivisatos, Kristin Aslaug Persson, Anubhav Jain
Read original paper ↗ ·Failure Case Reporting in Materials Informatics — What Is Documented and What Is Silenced
Journal of Artificial Intelligence for Materials Science · 2023
Ahmed Mansour, Omar Saeed, Lina Hassan
Read original paper ↗ ·HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science
Venue not supplied by source · 2023
Yu Song, Santiago Miret, Huan Zhang, Bang Liu
Read original paper ↗ ·Large Language Models as Master Key: Unlocking the Secrets of Materials Science
SSRN Electronic Journal · 2023
Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex
Read original paper ↗ ·Made of Steel? Learning Plausible Materials for Components in the Vehicle Repair Domain
Conference of the European Chapter of the Association for Computational Linguistics · 2023
Annerose Eichel, Helena Schlipf, Sabine Schulte im Walde
Read original paper ↗ ·MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling
Annual Meeting of the Association for Computational Linguistics (ACL) · 2023
Yu Song, Santiago Miret, Bang Liu
Read original paper ↗ ·Perceptions of the use of IsiZulu Termbank Technology at University of KwaZulu-Natal.
Venue not supplied by source · 2023
Njabulo Hadebe
Read original paper ↗ ·Realizing the cooking recipe of materials synthesis through large language models
Journal of Materials Chemistry A · 2023
Jaydeep Thik, Siwen Wang, Chuhong Wang, Hadi Mansourifar, Honghong Lin, Keiichi Okubo, Chen Ling
Read original paper ↗ ·Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Nature Reviews Materials · 2023
Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, John Sheridan Fisher, James Kirkpatrick, Tonio Buonassisi
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 ↗ ·Deep language models for interpretative and predictive materials science
APL Machine Learning · 2023
Yiwen Hu, Markus J. Buehler
Read original paper ↗ ·Scientific novelty beyond the experiment
Microbial Biotechnology · 2023
John Edward Hallsworth, Zulema Udaondo, Carlos Pedrós‐Alió, Juan Höfer, Kathleen C. Benison, Karen G. Lloyd, Radamés J. B. Cordero, Cláudia Barbosa Ladeira de Campos, Michail M. Yakimov, Ricardo Amils
Read original paper ↗ ·Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects
Advanced Functional Materials · 2023
Yiming Liu, Xinyu Tan, Jie Liang, Hongwei Han, Peng Xiang, Wensheng Yan
Read original paper ↗ ·Rational design of high-entropy ceramics based on machine learning – A critical review
Current Opinion in Solid State and Materials Science · 2023
Jun Zhang, Xuepeng Xiang, Biao Xu, Shasha Huang, Yaoxu Xiong, Shihua Ma, Haijun Fu, Yi Ma, Hongyu Chen, Zhenggang Wu, Shijun Zhao
Read original paper ↗ ·Data-driven thermal and percolation analyses of 3D composite structures with interface resistance
Materials & Design · 2023
Mozhdeh Fathidoost, Yangyiwei Yang, Matthias Oechsner, Bai‐Xiang Xu
Read original paper ↗ ·High‐Entropy Perovskites for Energy Conversion and Storage: Design, Synthesis, and Potential Applications
Small Methods · 2023
Yuhao Wang, Jiapeng Liu, Yufei Song, Jing Hua Yu, Yunfeng Tian, Matthew James Robson, Jian Wang, Zhiqi Zhang, Xidong Lin, Guodong Zhou, Zheng Wang, Longyun Shen, Hailei Zhao, Salvatore Grasso, Francesco Ciucci
Read original paper ↗ ·Extracting Accurate Materials Data from Research Papers with Conversational Language Models and Prompt Engineering
arXiv (Cornell University) · 2023
Maciej P. Polak, Dane D. Morgan
Read original paper ↗ ·AI-Based Knowledge Extraction from the Bioprinting Literature for Identifying Technology Trends
3D Printing and Additive Manufacturing · 2023
Amedeo Franco Bonatti, Filippo Chiarello, Giovanni Vozzi, Carmelo De Maria
Read original paper ↗ ·High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap
Materials Today Communications · 2023
Wenguang Hu, Lei Zhang
Read original paper ↗ ·Common Elements Approaches to Implementation Research and Practice: Methods and Integration with Intervention Science
Global Implementation Research and Applications · 2023
Thomas Engell, Nicole A. Stadnick, Gregory A. Aarons, Miya L. Barnett
Read original paper ↗ ·Accelerating the design of compositionally complex materials via physics-informed artificial intelligence
Nature Computational Science · 2023
Dierk Raabe, Jaber Rezaei Mianroodi, Jörg Neugebauer
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 ↗ ·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 ↗ ·Automatic knowledge acquisition from superconductivity information in literature
Science and Technology of Advanced Materials Methods · 2023
Kento Mitsui, Yutaka Sasaki, Ryoji Asahi
Read original paper ↗ ·Testing open-source tools for optical chemical structure recognition on novel nitrogen-rich energetic materials
Journal of Energetic Materials · 2023
Sabrina Wahler, Thomas Matthias Klapötke, William Graham Proud
Read original paper ↗ ·Ab-initio computation of structural, elastic, mechanical and optical properties of Cs2ScAgI6 double perovskite semiconductor compound
MRS Advances · 2023
Robinson Juma Musembi, Mwende Mbilo
Read original paper ↗ ·Methods, progresses, and opportunities of materials informatics
InfoMat · 2023
Chen Li, Kun Zheng
Read original paper ↗ ·First-principles, machine learning and symbolic regression modelling for organic molecule adsorption on two-dimensional CaO surface
Journal of Molecular Graphics and Modelling · 2023
Wenguang Hu, Lei Zhang
Read original paper ↗ ·Functional Material Systems Enabled by Automated Data Extraction and Machine Learning
Advanced Functional Materials · 2023
Payam Kalhor, Nicole Jung, Stefan Bräse, Christof Wöll, Manuel M. Tsotsalas, Pascal Friederich
Read original paper ↗ ·Modeling ionic conductivity and activation energy in garnet-structured solid electrolytes: The role of composition, grain boundaries and processing
Solid State Ionics · 2023
Natalia V. Kireeva, Aslan Yu. Tsivadze, Vladislav S. Pervov
Read original paper ↗ ·Natural Language Processing in Higher Education
Bulletin of Social Informatics Theory and Application · 2023
Nastiti Susetyo Fanany Putri, Prasetya Widiharso, Agung Bella Putra Utama, Maharsa Caraka Shakti, Urvi Ghosh
Read original paper ↗ ·FFMDFPA: A FAIRification Framework for Materials Data with No-Code Flexible Semi-Structured Parser and Application Programming Interfaces
Journal of Chemical Information and Modeling · 2023
Bing He, Zhuming Gong, Maxim Avdeev, Siqi Shi
Read original paper ↗ ·Enhancing corrosion-resistant alloy design through natural language processing and deep learning
Science Advances · 2023
Kasturi Narasimha Sasidhar, Nima Hamidi Siboni, Jaber Rezaei Mianroodi, Michael Rohwerder, Jörg Neugebauer, Dierk Raabe
Read original paper ↗ ·