Papers citing Similarity of Precursors in Solid-State Synthesis as Text-Mined from Scientific Literature
Harnessing GPT-3.5 for text parsing in solid-state synthesis – case study of ternary chalcogenides
Digital Discovery · 2024-01-01
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 · 2024-01-01
Na Qin, Lai Wei, Haibiao Chen
Read original paper ↗ ·Semantic knowledge graph as a companion for catalyst recommendation
National Science Open · 2024-02-01
Zhiying Zhang, Shengming Ma, Shisheng Zheng, Zhiwei Nie, Bingxu Wang, Kai Lei, Shunning Li, Feng Pan
Read original paper ↗ ·Structured information extraction from scientific text with large language models
Nature Communications · 2024-02-15
John M. Dagdelen, Alexander Dunn, Sang‐Hoon Lee, Nicholas Walker, Andrew Rosen, Gerbrand Ceder, Kristin Aslaug Persson, Anubhav Jain
Read original paper ↗ ·Large language model enhanced corpus of CO2 reduction electrocatalysts and synthesis procedures
Scientific Data · 2024-04-06
Xueqing Chen, Yang Gao, Ludi Wang, Wenjuan Cui, Jiamin Huang, Yi Du, Bin Wang
Read original paper ↗ ·Navigating phase diagram complexity to guide robotic inorganic materials synthesis
Nature Synthesis · 2024-04-09
Jiadong Chen, Samuel R. Cross, Lincoln J. Miara, Jeong‐Ju Cho, Yan Eric Wang, Wenhao Q. Sun
Read original paper ↗ ·Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design
Advanced Intelligent Systems · 2024-05-12
Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge, Xiaokang Ma, Zhike Liu, Jiaxue You, Alex K.‐Y. Jen, Shengzhong Frank Liu
Read original paper ↗ ·Descriptor Design for Perovskite Material with Compatible Molecules via Language Model and First-Principles
Journal of Chemical Theory and Computation · 2024-07-22
Yiru Huang, Lei Zhang
Read original paper ↗ ·A critical reflection on attempts to machine-learn materials synthesis insights from text-mined literature recipes
Faraday Discussions · 2024-08-13
Wenhao Q. Sun, Nicholas David
Read original paper ↗ ·Concluding remarks: Faraday Discussion on data-driven discovery in the chemical sciences
Faraday Discussions · 2024-11-04
Andrew Ian Cooper
Read original paper ↗ ·Data-driven analysis of text-mined seed-mediated syntheses of gold nanoparticles
Digital Discovery · 2024-11-22
Sanghoon Lee, Kevin Cruse, Samuel P. Gleason, A. Paul Alivisatos, Gerbrand Ceder, Anubhav Jain
Read original paper ↗ ·A Cellular Automaton Simulation for Predicting Phase Evolution in Solid-State Reactions
Chemistry of Materials · 2024-12-18
Max C. Gallant, Matthew J. McDermott, Bryant Y. Li, Kristin Aslaug Persson
Read original paper ↗ ·Deep reinforcement learning for inverse inorganic materials design
npj Computational Materials · 2024-12-19
Christopher J. Karpovich, Elton Pan, Elsa Olivetti
Read original paper ↗ ·Solid-state synthesizability predictions using positive-unlabeled learning from human-curated literature data
Digital Discovery · 2025-01-01
Vincent Chung, Aron Walsh, David J. Payne
Read original paper ↗ ·Exploring the development of electrocatalysts through an automated comprehensive literature review using NLP
Journal of Alloys and Compounds Communications · 2025-02-24
Na Qin, Lei Liu, Lai Wei, Haibiao Chen
Read original paper ↗ ·Applications of natural language processing and large language models in materials discovery
npj Computational Materials · 2025-03-23
Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su
Read original paper ↗ ·Advancements of Large Language Models for Enhancing Carbon Capture Technologies: A Comprehensive Review
CHAIN · 2025-06-01
Yangyimin Xue, Manying Liu, Kuiyuan Wang, Yuwan Yang, Yongqiang Cheng, Xinhui Ma, Yuanting Qiao
Read original paper ↗ ·A one-shot automated framework based on large language model and AutoML: Accelerating the design of porous carbon materials and carbon capture optimization
Separation and Purification Technology · 2025-06-02
Lin Hu, Zhaorong Zhou, Guozhu Jia
Read original paper ↗ ·Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature
Advanced Intelligent Discovery · 2025-06-04
Bowen Zheng, Grace X. Gu
Read original paper ↗ ·A knowledge acquisition automatizing framework from literature exemplified by Na+ activation energy prediction of NASICON solid-state electrolyte
Energy storage materials · 2025-06-09
Yue Liu, Dahui Liu, Zhengwei Yang, Xianyuan Ge, Wenxuan Yao, Jie Wu, Maxim Avdeev, Siqi Shi
Read original paper ↗ ·Accelerated data-driven materials science with the Materials Project
Nature Materials · 2025-07-03
Matthew K. Horton, Patrick Huck, Ruoxi Yang, Jason M. Munro, Shyam Dwaraknath, Alex M. Ganose, Ryan Kingsbury, Mingjian Wen, Jimmy X. Shen, Tyler S. Mathis, Aaron D. Kaplan, Karlo Berket, Janosh Riebesell, Janine George, Andrew Rosen, Evan Walter Clark Spotte‐Smith, Matthew J. McDermott, Orion Cohen, Alexander Dunn, Matthew C. Kuner, Gian‐Marco Rignanese, Guido Petretto, David Waroquiers, Sinéad M. Griffin, Jeffrey B. Neaton, D. C. Chrzan, Mark Asta, Geoffroy Hautier, Shreyas Cholia, Gerbrand Ceder, Shyue Ping Ong, Anubhav Jain, Kristin Aslaug Persson
Read original paper ↗ ·Text Mining for Process–Structure–Properties Relationships in Metals
Integrating materials and manufacturing innovation · 2025-09-26
Amit K. Verma, Zhisong Zhang, Junwon Seo, Robin Kuo, Runbo Jiang, Emma Strubell, Anthony D. Rollett
Read original paper ↗ ·Recent advances in machine learning-driven discovery of alloy electrocatalysts for hydrogen evolution reaction
Chinese Chemical Letters · 2025-10-24
Na Qin, Wenxin Guo, Fangxiu Li, Houfeng Zhang, Houfeng Zhang, Hong Liu, Chang Zhang, Chang Zhang, Lipiao Bao, Lei Liu, Muneerah Amer Alomar, Siqi Zhao, Jian Zhang, Xing Lu
Read original paper ↗ ·MatSciES: Automated Knowledge Extraction and Summarization from Materials Science Literature with Large Language Models
Lecture notes in computer science · 2025-11-18
Jialin Xu, Jinguo You, Chuhan Zhang, Huaze Huang, Jingmei Tao, Jianhong Yi
Read original paper ↗ ·Praseodymium Decorated Pyrimidine COFs for Visible Light Photocatalysis and Optical Applications
Journal of Photochemistry and Photobiology A Chemistry · 2025-12-11
Abdulla Yahya Abdullah Alzahrani, Vinayak M. Adimule, Rangappa Sangappa Keri, Santosh Nandi, D.V. Sunitha, Sana Ben Moussa, Karthik Kannan, Shankramma Nesargi, Praveen Barmavatu
Read original paper ↗ ·Large Language Models (LLMs) for Materials Design
Advanced Functional Materials · 2025-12-16
Lei Zhang, Zhaorui Liu, Ben Ni, Quan Wang
Read original paper ↗ ·Text-mined dataset of solid-state syntheses with impurity phases using Large Language Model
Scientific Data · 2025-12-16
Sanghoon Lee, Kevin Cruse, Viktoriia Baibakova, Gerbrand Ceder, Anubhav Jain
Read original paper ↗ ·MaterialBrain: High-Performance Material Synthesis Extraction via Human–AI-Curated Few-Shot Large Language Models
Journal of Chemical Information and Modeling · 2025-12-25
Yi Yang, Zhimeng Liu, Wei Wu, Yuyang Zhang, Yuyang Zhang, Hongbo Zhang, Jing Lin, Siyu Wu, Zihan Chen, Ye Sun, Ruiming Li, Nan Wang, Rui Wang, Zipeng Liu, Huobin Tan, Lei Shi, Yue Zhang, Yue Zhang, Hongyi Gao, Ge Wang
Read original paper ↗ ·Development of an AI Tool for Systematic Review of Scientific Articles Containing IR-Spectra of Boron Nitride Nano- and Microparticles
Reviews on advanced materials and technologies · 2025-12-30
Ilya M. Sosnin, A.R. Reznikova, A.V. Frolova
Read original paper ↗ ·From literature to lab: LLM-powered catalyst synthesis protocol generation
Digital Discovery · 2026-01-01
Yue Zhang, Song Luo, Dongxia Liu, Dionisios G. Vlachos, Hui Fang
Read original paper ↗ ·Informatics for thermodynamics: Stability to synthesizability
Elsevier eBooks · 2026-01-01
Krishna Rajan
Read original paper ↗ ·Quantitative analysis of operating conditions and performance trends in CO2 capture from large-scale literature
Chemical Engineering Journal Advances · 2026-03-28
So Yun Jeong, Kyuri Choi, Jeongho Choi, Kwanghwi Kim, Hong Woo Lee, Byung Chul Yeo
Read original paper ↗ ·Protonation-state engineering enables low-temperature and phase-selective synthesis of lanthanide tellurites and high-entropy derivatives
Progress in Solid State Chemistry · 2026-04-01
Yiyun Wang, Hongbo Cui, Guijian Guan, Ming‐Yong Han
Read original paper ↗ ·Artificial Intelligence for Materials Science: Transforming Research Paradigms
Chemical Reviews · 2026-05-20
Yue Li, Shurui Wang, Jianping Wang, Liu Q, Jin Zhang
Read original paper ↗ ·AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization
Chemical Reviews · 2026-08-03
Jiwoo Choi, Seongmin Kim, Junkil Park, Junyoung Choi, Sunggi An, Yousung Jung
Read original paper ↗ ·