Jacqueline Cole

Jacqueline Cole

University of Cambridge

H-index: 47

Europe-United Kingdom

About Jacqueline Cole

Jacqueline Cole, With an exceptional h-index of 47 and a recent h-index of 31 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of molecular engineering, dye sensitized solar cells, non linear optical materials, photoisomerism, optomechanical transduction.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

A database of thermally activated delayed fluorescent molecules auto-generated from scientific literature with ChemDataExtractor

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

Multi-task scattering-model classification and parameter regression of nanostructures from small-angle scattering data

Digitizing images of electrical-circuit schematics

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

ChemDataWriter: a transformer-based toolkit for auto-generating books that summarise research

Snowball 2.0: Generic Material Data Parser for ChemDataExtractor

Jacqueline Cole Information

University

Position

___

Citations(all)

9388

Citations(since 2020)

4868

Cited By

6273

hIndex(all)

47

hIndex(since 2020)

31

i10Index(all)

142

i10Index(since 2020)

93

Email

University Profile Page

University of Cambridge

Google Scholar

View Google Scholar Profile

Jacqueline Cole Skills & Research Interests

molecular engineering

dye sensitized solar cells

non linear optical materials

photoisomerism

optomechanical transduction

Top articles of Jacqueline Cole

Title

Journal

Author(s)

Publication Date

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

Journal of Chemical Information and Modeling

Son Gyo Jung

Guwon Jung

Jacqueline M Cole

2024/2/6

A database of thermally activated delayed fluorescent molecules auto-generated from scientific literature with ChemDataExtractor

Scientific Data

Dingyun Huang

Jacqueline M Cole

2024/1/17

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

Journal of Chemical Information and Modeling

Taketomo Isazawa

Jacqueline M Cole

2024/3/27

Multi-task scattering-model classification and parameter regression of nanostructures from small-angle scattering data

Digital Discovery

Batuhan Yildirim

James Doutch

Jacqueline M Cole

2024

Digitizing images of electrical-circuit schematics

APL Machine Learning

Charles R Kelly

Jacqueline M Cole

2024/3/1

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

Journal of Chemical Information and Modeling

Son Gyo Jung

Guwon Jung

Jacqueline M Cole

2024/2/29

ChemDataWriter: a transformer-based toolkit for auto-generating books that summarise research

Digital Discovery

Shu Huang

Jacqueline M Cole

2023

Snowball 2.0: Generic Material Data Parser for ChemDataExtractor

Journal of Chemical Information and Modeling

Qingyang Dong

Jacqueline M Cole

2023/11/7

Automatic materials characterization from infrared spectra using convolutional neural networks

Chemical Science

Guwon Jung

Son Gyo Jung

Jacqueline M Cole

2023

automated Construction of a Photocatalysis Dataset for Water-Splitting applications

Scientific Data

Taketomo Isazawa

Jacqueline M Cole

2023/9/22

ReactionDataExtractor 2.0: A deep learning approach for data extraction from chemical reaction schemes

Journal of Chemical Information and Modeling

Damian M Wilary

Jacqueline M Cole

2023/9/20

OpticalBERT and OpticalTable-SQA: text-and table-based language models for the optical-materials domain

Journal of Chemical Information and Modeling

Jiuyang Zhao

Shu Huang

Jacqueline M Cole

2023/3/20

Gradient boosted and statistical feature selection workflow for materials property predictions

The Journal of Chemical Physics

Son Gyo Jung

Guwon Jung

Jacqueline M Cole

2023/11/14

In‐Silico Device Performance Prediction of Cosensitizer Dye Pairs for Dye‐Sensitized Solar Cells

Advanced Energy Materials

Leon R Devereux

Álvaro Vázquez‐Mayagoitia

Michael G Sternberg

Jacqueline M Cole

2023/2

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

Yogesh K Dwivedi

Laurie Hughes

Harshad KDH Bhadeshia

Sophia Ananiadou

Anthony G Cohn

...

2023/11/7

Characterizing Interfacial Structures of Dye-Sensitized Solar Cell Working Electrodes

Langmuir

Jacqueline M Cole

Ulrich FJ Mayer

2022/1/11

A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor

Scientific data

Jiuyang Zhao

Jacqueline M Cole

2022/5/3

Auto-generating databases of yield strength and grain size using chemdataextractor

Scientific Data

Pankaj Kumar

Saurabh Kabra

Jacqueline M Cole

2022/6/9

BatteryDataExtractor: battery-aware text-mining software embedded with BERT models

Chemical Science

Shu Huang

Jacqueline M Cole

2022

Clustering a database of optically absorbing organic molecules via a hierarchical fingerprint scheme that categorizes similar functional molecular fragments

The Journal of Chemical Physics

Padraic J Flanagan

Jacqueline M Cole

2022/4/21

See List of Professors in Jacqueline Cole University(University of Cambridge)