Fetching the paper…
Reading the bibliography…
Materials synthesis is vital for innovations such as energy storage, catalysis, electronics, and biomedical devices.
Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 1904
Earlier work this paper cites.
Intraclass correlations: uses in assessing rater reliability
Patrick E Shrout and Joseph L Fleiss. 1979 · 1979
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Text-mined dataset of inorganic materials synthesis recipes
Olga Kononova, Haoyan Huo, Tanjin He, Ziqin Rong, Tiago Botari, Wenhao Sun, Vahe Tshitoyan, and Gerbrand Ceder. 2019 · 2019
Earlier work this paper cites.
Benchmarking materials property prediction methods: the matbench test set and automatminer reference algorithm
Alexander Dunn, Qi Wang, Alex Ganose, Daniel Dopp, and Anubhav Jain. 2020 · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
Earlier work this paper cites.
Data-driven materials research enabled by natural language processing and information extraction
Elsa A Olivetti, Jacqueline M Cole, Edward Kim, Olga Kononova, Gerbrand Ceder, Thomas Yong-Jin Han, and Anna M Hiszpanski. 2020 · 2020
Earlier work this paper cites.
Synthesis of a three-dimensional cross-linked ni–v 2 o 5 nanomaterial in an ionic liquid for lithium-ion batteries
Yu Zhao, Dongru Gao, Ruxin Guan, Hongwei Li, Ning Li, Guixian Li, and Shiyou Li. 2020 · 2020
Earlier work this paper cites.
Datasets: A community library for natural language processing
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander Rush, and Thomas Wolf. 2021 · 2021
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature
Zheren Wang, Olga Kononova, Kevin Cruse, Tanjin He, Haoyan Huo, Yuxing Fei, Yan Zeng, Yingzhi Sun, Zijian Cai, Wenhao Sun, et al. 2022 · 2022
Cited alongside, same era.
Application of machine learning in material synthesis and property prediction
Guannan Huang, Yani Guo, Ye Chen, and Zhengwei Nie. 2023 · 2023
Cited alongside, same era.
Scaling deep learning for materials discovery
Amil Merchant, Simon Batzner, Samuel S Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin Dogus Cubuk. 2023 · 2023
Cited alongside, same era.
Artificial intelligence for learning material synthesis processes of thermoelectric materials
Gyoung S Na. 2023 · 2023
Cited alongside, same era.
Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, and Janosh Riebesell. 2024 · 2024
Later among the works it cites.
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou. 2024 · 2024
Later among the works it cites.
Llamat: Large language models for materials science
Vaibhav Mishra, Somaditya Singh, Mohd Zaki, Hargun Singh Grover, Santiago Miret, NM Anoop Krishnan, et al · 2024
Later among the works it cites.
Fine-tuning large language models for specialized use cases
DM Anisuzzaman, Jeffrey G Malins, Paul A Friedman, and Zachi I Attia. 2025 · 2025
Closest in time.
Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, Saizhuo Wang, Kun Zhang, Yuanzhuo Wang, Wen Gao, Lionel Ni, and Jian Guo. 2025 · 2025
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yu Song, Santiago Miret, and Bang Liu. 2023 · 2023
Cited alongside, same era.
Small data machine learning in materials science
Pengcheng Xu, Xiaobo Ji, Minjie Li, and Wencong Lu. 2023 · 2023
Cited alongside, same era.
Pymupdf4llm: Pdf text extraction library for llm applications
Artifex Software. 2024 · 2024
Cited alongside, same era.
Text and data mining under u.s. copyright law: Landscape, flaws & recommendations
Authors Alliance. 2024 · 2024
Cited alongside, same era.
Closest in time.
Shrinidhi Kumbhar, Venkatesh Mishra, Kevin Coutinho, Divij Handa, Ashif Iquebal, and Chitta Baral. 2025 · 2025
Closest in time.
Introducing text and code embeddings
OpenAI. 2022 · 2025
Closest in time.
Semantic scholar academic graph api
Semantic Scholar. 2023 · 2025
Closest in time.
A critical reflection on attempts to machine-learn materials synthesis insights from text-mined literature recipes
Wenhao Sun and Nicholas David. 2025 · 2025
Closest in time.