Opportunities and challenges of text mining in materials research

A Design-to-Device Pipeline for Data-Driven Materials Discovery

(2020) Jacqueline M. Cole   ACCOUNTS OF CHEMICAL RESEARCH

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

(2020) Edward Kim et al.   Journal of Chemical Information and Modeling

Opportunities and Challenges for Machine Learning in Materials Science

(2020) Dane Morgan et al.   Annual Review of Materials Research

Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge

(2020) Anna M. Hiszpanski et al.   Journal of Chemical Information and Modeling

Magnetic and superconducting phase diagrams and transition temperatures predicted using text mining and machine learning

(2020) Callum J. Court et al.   npj Computational Materials

Automated extraction of chemical synthesis actions from experimental procedures

(2020) Alain C. Vaucher et al.   Nature Communications

A database of battery materials auto-generated using ChemDataExtractor

(2020) Shu Huang et al.   Scientific Data

Similarity of Precursors in Solid-State Synthesis as Text-Mined from Scientific Literature

(2020) Tanjin He et al.   CHEMISTRY OF MATERIALS

Data-driven materials research enabled by natural language processing and information extraction

(2020) Elsa A. Olivetti et al.   Applied Physics Reviews

Data-Driven Studies of Li-Ion-Battery Materials

(2019) Steven Kauwe et al.   Crystals

Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2

(2019) Artem Maksov et al.   npj Computational Materials

A framework for information extraction from tables in biomedical literature

(2019) Nikola Milosevic et al.   International Journal on Document Analysis and Recognition

A Machine Learning Approach to Zeolite Synthesis Enabled by Automatic Literature Data Extraction

(2019) Zach Jensen et al.   ACS Central Science

Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature

(2019) Leigh Weston et al.   Journal of Chemical Information and Modeling

Unsupervised word embeddings capture latent knowledge from materials science literature

(2019) Vahe Tshitoyan et al.   NATURE

Semi-supervised machine-learning classification of materials synthesis procedures

(2019) Haoyan Huo et al.   npj Computational Materials

Machine Learning and Computer Vision for the Classification of Carbon Nanotube and Nanofiber Structures from Transmission Electron Microscopy Data

(2019) Thomas Matson et al.   MICROSCOPY AND MICROANALYSIS

Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis

(2019) Xiwen Jia et al.   NATURE

Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels

(2019) Graham Roberts et al.   Scientific Reports

Representing Multiword Chemical Terms through Phrase-Level Preprocessing and Word Embedding

(2019) Liyuan Huang et al.   ACS Omega

ImageDataExtractor: A Tool To Extract and Quantify Data from Microscopy Images

(2019) Karim T. Mukaddem et al.   Journal of Chemical Information and Modeling

Data mining for better material synthesis: The case of pulsed laser deposition of complex oxides

(2018) Steven R. Young et al.   JOURNAL OF APPLIED PHYSICS

Putting hands to rest: efficient deep CNN-RNN architecture for chemical named entity recognition with no hand-crafted rules

(2018) Ilia Korvigo et al.   Journal of Cheminformatics

Advanced Steel Microstructural Classification by Deep Learning Methods

(2018) Seyed Majid Azimi et al.   Scientific Reports

Auto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction

(2018) Callum J. Court et al.   Scientific Data

Relation extraction with weakly supervised learning based on process-structure-property-performance reciprocity

(2018) Takeshi Onishi et al.   SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS

Design-to-Device Approach Affords Panchromatic Co-Sensitized Solar Cells

(2018) Christopher B. Cooper et al.   Advanced Energy Materials

Thermodynamics of Phase Selection in MnO2 Framework Structures through Alkali Intercalation and Hydration

(2017) Daniil A. Kitchaev et al.   JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

Machine-learned and codified synthesis parameters of oxide materials

(2017) Edward Kim et al.   Scientific Data

An ab initio electronic transport database for inorganic materials

(2017) Francesco Ricci et al.   Scientific Data

Virtual screening of inorganic materials synthesis parameters with deep learning

(2017) Edward Kim et al.   npj Computational Materials

Machine learning in materials informatics: recent applications and prospects

(2017) Rampi Ramprasad et al.   npj Computational Materials

Advancing the state of the art for handwritten math recognition: the CROHME competitions, 2011–2014

(2016) Harold Mouchère et al.   International Journal on Document Analysis and Recognition

Blending Education and Polymer Science: Semiautomated Creation of a Thermodynamic Property Database

(2016) Roselyne B. Tchoua et al.   JOURNAL OF CHEMICAL EDUCATION

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

Meta-analysis of cellular toxicity for cadmium-containing quantum dots

(2016) Eunkeu Oh et al.   Nature Nanotechnology

Terminology spectrum analysis of natural-language chemical documents: term-like phrases retrieval routine

(2016) Boris L. Alperin et al.   Journal of Cheminformatics

MAGNDATA: towards a database of magnetic structures. I. The commensurate case

(2016) Samuel V. Gallego et al.   JOURNAL OF APPLIED CRYSTALLOGRAPHY

MAGNDATA: towards a database of magnetic structures. II. The incommensurate case

(2016) Samuel V. Gallego et al.   JOURNAL OF APPLIED CRYSTALLOGRAPHY

Performance and resource considerations of Li-ion battery electrode materials

(2015) Leila Ghadbeigi et al.   Energy & Environmental Science

CERMINE: automatic extraction of structured metadata from scientific literature

(2015) Dominika Tkaczyk et al.   International Journal on Document Analysis and Recognition

Framework for automatic information extraction from research papers on nanocrystal devices

(2015) Thaer M Dieb et al.   Beilstein Journal of Nanotechnology

LeadMine: a grammar and dictionary driven approach to entity recognition

(2015) Daniel M Lowe et al.   Journal of Cheminformatics

The CHEMDNER corpus of chemicals and drugs and its annotation principles

(2015) Martin Krallinger et al.   Journal of Cheminformatics

tmChem: a high performance approach for chemical named entity recognition and normalization

(2015) Robert Leaman et al.   Journal of Cheminformatics

Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references

(2015) Lutz Bornmann et al.   Journal of the Association for Information Science and Technology

Charting the complete elastic properties of inorganic crystalline compounds

(2015) Maarten de Jong et al.   Scientific Data

Data-Driven Review of Thermoelectric Materials: Performance and Resource Considerations

(2013) Michael W. Gaultois et al.   CHEMISTRY OF MATERIALS

Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing

(2013) Haijun Zhai et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Challenges in mining the literature for chemical information

(2013) Harsha Gurulingappa et al.   RSC Advances

Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

(2013) Anubhav Jain et al.   APL Materials

ChemSpot: a hybrid system for chemical named entity recognition

(2012) Tim Rocktäschel et al.   BIOINFORMATICS

Probabilistic topic models

(2012) David M. Blei   COMMUNICATIONS OF THE ACM

Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature

(2012) Miguel García-Remesal et al.   Biomed Research International

Crowdsourcing systems on the World-Wide Web

(2011) Anhai Doan et al.   COMMUNICATIONS OF THE ACM

A high-throughput infrastructure for density functional theory calculations

(2011) Anubhav Jain et al.   COMPUTATIONAL MATERIALS SCIENCE

OSCAR4: a flexible architecture for chemical text-mining

(2011) David M Jessop et al.   Journal of Cheminformatics

Data Mined Ionic Substitutions for the Discovery of New Compounds

(2010) Geoffroy Hautier et al.   INORGANIC CHEMISTRY

Cascaded classifiers for confidence-based chemical named entity recognition

(2008) Peter Corbett et al.   BMC BIOINFORMATICS