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

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

(2020) Jacqueline M. Cole   ACCOUNTS OF CHEMICAL RESEARCH

The Devices, Experimental Scaffolds, and Biomaterials Ontology (DEB): A Tool for Mapping, Annotation, and Analysis of Biomaterials' Data

(2020) Osnat Hakimi et al.   ADVANCED FUNCTIONAL MATERIALS

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks

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

Predicting research trends with semantic and neural networks with an application in quantum physics

(2020) Mario Krenn et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

ChemSchematicResolver: A Toolkit to Decode 2D Chemical Diagrams with Labels and R-Groups into Annotated Chemical Named Entities

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

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

Machine-learning-guided discovery of the gigantic magnetocaloric effect in HoB2 near the hydrogen liquefaction temperature

(2020) Pedro Baptista de Castro et al.   NPG Asia Materials

Self-driving laboratory for accelerated discovery of thin-film materials

(2020) B. P. MacLeod et al.   Science Advances

Artificial Chemist: An Autonomous Quantum Dot Synthesis Bot

(2020) Robert W. Epps et al.   ADVANCED MATERIALS

Generalizable Framework for Algorithmic Interpretation of Thin Film Morphologies in Scanning Probe Images

(2020) Wesley K. Tatum et al.   Journal of Chemical Information and Modeling

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

(2019) Artem Maksov et al.   npj Computational Materials

Automatic identification of relevant chemical compounds from patents

(2019) Saber A Akhondi et al.   Database-The Journal of Biological Databases and Curation

Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels

(2019) Jessica Gola et al.   COMPUTATIONAL MATERIALS SCIENCE

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

Anthropogenic biases in chemical reaction data hinder exploratory inorganic synthesis

(2019) Xiwen Jia et al.   NATURE

Foreword to the Focus Issue on Machine Intelligence in Astronomy and Astrophysics

(2019) Giuseppe Longo et al.   PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC

Graph similarity drives zeolite diffusionless transformations and intergrowth

(2019) Daniel Schwalbe-Koda et al.   NATURE MATERIALS

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

(2019) Graham Roberts et al.   Scientific Reports

Text-mined dataset of inorganic materials synthesis recipes

(2019) Olga Kononova et al.   Scientific Data

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

Comparative dataset of experimental and computational attributes of UV/vis absorption spectra

(2019) Edward J. Beard et al.   Scientific Data

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

Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions

(2018) Chiho Kim et al.   Journal of Physical Chemistry C

Network Dynamics of Innovation Processes

(2018) Iacopo Iacopini et al.   PHYSICAL REVIEW LETTERS

Science of science

(2018) Santo Fortunato et al.   SCIENCE

An open experimental database for exploring inorganic materials

(2018) Andriy Zakutayev et al.   Scientific Data

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

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

The landscape of NeuroImage-ing research

(2018) Jordan D. Dworkin et al.   NEUROIMAGE

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

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

The science of science: From the perspective of complex systems

(2017) An Zeng et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

Polymer Informatics: Opportunities and Challenges

(2017) Debra J. Audus et al.   ACS Macro Letters

Machine-learned and codified synthesis parameters of oxide materials

(2017) Edward Kim et al.   Scientific Data

Virtual screening of inorganic materials synthesis parameters with deep learning

(2017) Edward Kim et al.   npj Computational Materials

High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds

(2016) Anton O. Oliynyk et al.   CHEMISTRY OF MATERIALS

Image Super-Resolution Using Deep Convolutional Networks

(2016) Chao Dong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Informatics Infrastructure for the Materials Genome Initiative

(2016) Alden Dima et al.   JOM

The Materials Data Facility: Data Services to Advance Materials Science Research

(2016) B. Blaiszik et al.   JOM

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

Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach

(2016) Rafael Gómez-Bombarelli et al.   NATURE MATERIALS

Efficient chemical-disease identification and relationship extraction using Wikipedia to improve recall

(2016) Daniel M. Lowe et al.   Database-The Journal of Biological Databases and Curation

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Machine Learning Strategy for Accelerated Design of Polymer Dielectrics

(2016) Arun Mannodi-Kanakkithodi et al.   Scientific Reports

Choosing experiments to accelerate collective discovery

(2015) Andrey Rzhetsky et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Prediction of the potency of mammalian cyclooxygenase inhibitors with ensemble proteochemometric modeling

(2015) Isidro Cortes-Ciriano et al.   Journal of Cheminformatics

Machines first, humans second: on the importance of algorithmic interpretation of open chemistry data

(2015) Alex M Clark et al.   Journal of Cheminformatics

Chemical entity extraction using CRF and an ensemble of extractors

(2015) Madian Khabsa et al.   Journal of Cheminformatics

CHEMDNER: The drugs and chemical names extraction challenge

(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

Quantifying the cognitive extent of science

(2015) Staša Milojević   Journal of Informetrics

Discovery of Wall-Selective Carbon Nanotube Growth Conditions via Automated Experimentation

(2014) Pavel Nikolaev et al.   ACS Nano

Mapping the Semantic Structure of Cognitive Neuroscience

(2014) Elizabeth Beam et al.   JOURNAL OF COGNITIVE NEUROSCIENCE

Data mining with molecular design rules identifies new class of dyes for dye-sensitised solar cells

(2014) Jacqueline M. Cole et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Technology: Sharing data in materials science

(2013)   NATURE

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

AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations

(2012) Stefano Curtarolo et al.   COMPUTATIONAL MATERIALS SCIENCE

Virgo: a laser interferometer to detect gravitational waves

(2012) T Accadia et al.   Journal of Instrumentation

Automated cognome construction and semi-automated hypothesis generation

(2012) Jessica B. Voytek et al.   JOURNAL OF NEUROSCIENCE METHODS

OSCAR4: a flexible architecture for chemical text-mining

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

Mining chemical information from open patents

(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

The semantics of Chemical Markup Language (CML): dictionaries and conventions

(2011) Peter Murray-Rust et al.   Journal of Cheminformatics

Automated extraction of chemical structure information from digital raster images

(2009) Jungkap Park et al.   Chemistry Central Journal

The Unreasonable Effectiveness of Data

(2009) Alon Halevy et al.   IEEE INTELLIGENT SYSTEMS

Optical Structure Recognition Software To Recover Chemical Information: OSRA, An Open Source Solution

(2009) Igor V. Filippov et al.   Journal of Chemical Information and Modeling

CLiDE Pro: The Latest Generation of CLiDE, a Tool for Optical Chemical Structure Recognition

(2009) Aniko T. Valko et al.   Journal of Chemical Information and Modeling

LIGO: the Laser Interferometer Gravitational-Wave Observatory

(2009) B P Abbott et al.   REPORTS ON PROGRESS IN PHYSICS