Jacqueline M. Cole

J. Chem. Inf. Model., 2025

2024

Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., March, 2024

Automatic Prediction of Band Gaps of Inorganic Materials Using a Gradient Boosted and Statistical Feature Selection Workflow.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., February, 2024

Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Predictive Modeling of High-Entropy Alloys and Amorphous Metallic Alloys Using Machine Learning.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic Materials.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

How Beneficial Is Pretraining on a Narrow Domain-Specific Corpus for Information Extraction about Photocatalytic Water Splitting?

[BibT_eX]

[DOI]

Taketomo Isazawa

Harshad K. D. H. Bhadeshia

J. Chem. Inf. Model., 2024

Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop.

[BibT_eX]

[DOI]

Yogesh K. Dwivedi

Laurie Hughes

Maunendra Sankar Desarkar

Xinwei Wang

Int. J. Inf. Manag., 2024

2023

Snowball 2.0: Generic Material Data Parser for ChemDataExtractor.

[BibT_eX]

[DOI]

Qingyang Dong

J. Chem. Inf. Model., November, 2023

ReactionDataExtractor 2.0: A Deep Learning Approach for Data Extraction from Chemical Reaction Schemes.

[BibT_eX]

[DOI]

Damian M. Wilary

J. Chem. Inf. Model., October, 2023

OpticalBERT and OpticalTable-SQA: Text- and Table-Based Language Models for the Optical-Materials Domain.

[BibT_eX]

[DOI]

Jiuyang Zhao

Shu Huang

J. Chem. Inf. Model., April, 2023

2022

PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format.

[BibT_eX]

[DOI]

Miao Zhu

J. Chem. Inf. Model., 2022

Reconstructing Chromatic-Dispersion Relations and Predicting Refractive Indices Using Text Mining and Machine Learning.

[BibT_eX]

[DOI]

Jiuyang Zhao

J. Chem. Inf. Model., 2022

Single Model for Organic and Inorganic Chemical Named Entity Recognition in ChemDataExtractor.

[BibT_eX]

[DOI]

Taketomo Isazawa

J. Chem. Inf. Model., 2022

BatteryBERT: A Pretrained Language Model for Battery Database Enhancement.

[BibT_eX]

[DOI]

Shu Huang

J. Chem. Inf. Model., 2022

2021

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification.

[BibT_eX]

[DOI]

Batuhan Yildirim

J. Chem. Inf. Model., 2021

ReactionDataExtractor: A Tool for Automated Extraction of Information from Chemical Reaction Schemes.

[BibT_eX]

[DOI]

Damian M. Wilary

J. Chem. Inf. Model., 2021

ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2021

2020

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

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2020

3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2020

Enumerating Intramolecular Charge Transfer in Conjugated Organic Compounds.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2020

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

[BibT_eX]

[DOI]

Edward J. Beard

J. Chem. Inf. Model., 2020

2018

Data-Driven Molecular Engineering of Solar-Powered Windows.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2018

2016

ChemDataExtractor: A Toolkit for Automated Extraction of Chemical Information from the Scientific Literature.

[BibT_eX]

[DOI]

Matthew C. Swain

J. Chem. Inf. Model., 2016

2011

Systematic Prediction of Dyes for Dye-Sensitized Solar Cells: Data Mining via Molecular Charge-Transfer Algorithms.

[BibT_eX]

[DOI]