标题
Text-mined dataset of inorganic materials synthesis recipes
作者
关键词
-
出版物
Scientific Data
Volume 6, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-10-15
DOI
10.1038/s41597-019-0224-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design
- (2019) Turab Lookman et al. npj Computational Materials
- Materials informatics: From the atomic-level to the continuum
- (2019) J.M. Rickman et al. ACTA MATERIALIA
- Semi-supervised machine-learning classification of materials synthesis procedures
- (2019) Haoyan Huo et al. npj Computational Materials
- Understanding crystallization pathways leading to manganese oxide polymorph formation
- (2018) Bor-Rong Chen et al. Nature Communications
- Auto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction
- (2018) Callum J. Court et al. Scientific Data
- Inverse design in search of materials with target functionalities
- (2018) Alex Zunger Nature Reviews Chemistry
- NOMAD: The FAIR concept for big data-driven materials science
- (2018) Claudia Draxl et al. MRS BULLETIN
- Machine learning for molecular and materials science
- (2018) Keith T. Butler et al. NATURE
- Planning chemical syntheses with deep neural networks and symbolic AI
- (2018) Marwin H. S. Segler et al. NATURE
- PubChem 2019 update: improved access to chemical data
- (2018) Sunghwan Kim et al. NUCLEIC ACIDS RESEARCH
- Machine-learned and codified synthesis parameters of oxide materials
- (2017) Edward Kim et al. Scientific Data
- Materials Data Infrastructure: A Case Study of the Citrination Platform to Examine Data Import, Storage, and Access
- (2016) Jordan O’Mara et al. JOM
- ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature
- (2016) Matthew C. Swain et al. Journal of Chemical Information and Modeling
- Machine-learning-assisted materials discovery using failed experiments
- (2016) Paul Raccuglia et al. NATURE
- Organic Synthesis: March of the Machines
- (2015) Steven V. Ley et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
- Performance and resource considerations of Li-ion battery electrode materials
- (2015) Leila Ghadbeigi et al. Energy & Environmental Science
- In situ studies of a platform for metastable inorganic crystal growth and materials discovery
- (2014) D. P. Shoemaker et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Chemical named entities recognition: a review on approaches and applications
- (2014) Safaa Eltyeb et al. Journal of Cheminformatics
- Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)
- (2013) James E. Saal et al. JOM
- The high-throughput highway to computational materials design
- (2013) Stefano Curtarolo et al. NATURE MATERIALS
- Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
- (2013) Anubhav Jain et al. APL Materials
- AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations
- (2012) Stefano Curtarolo et al. COMPUTATIONAL MATERIALS SCIENCE
- OSCAR4: a flexible architecture for chemical text-mining
- (2011) David M Jessop et al. Journal of Cheminformatics
- ChemicalTagger: A tool for semantic text-mining in chemistry
- (2011) Lezan Hawizy et al. Journal of Cheminformatics
- Finding Nature’s Missing Ternary Oxide Compounds Using Machine Learning and Density Functional Theory
- (2010) Geoffroy Hautier et al. CHEMISTRY OF MATERIALS
- Computer Software Review: Reaxys Reaxys . Elsevier Properties SA 360 Park Avenue South, New York, NY 10010-1710 . www.info.reaxys.com
- (2009) Jonathan Goodman Journal of Chemical Information and Modeling
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