Tom Penfold

Tom Penfold

Newcastle University

H-index: 47

Europe-United Kingdom

About Tom Penfold

Tom Penfold, With an exceptional h-index of 47 and a recent h-index of 36 (since 2020), a distinguished researcher at Newcastle University, specializes in the field of organic electronics, x-ray spectroscopy, machine learning, ultrafast dynamics.

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

Partial Density of States Representation for Accurate Deep Neural Network Predictions of X-ray Spectra

Spin-Vibronic Intersystem Crossing and Molecular Packing Effects in Heavy Atom Free Organic Phosphor

The Photochemistry of Rydberg Excited Cyclobutanone: Photoinduced Processes and Ground State Dynamics

Mind the GAP: quantifying the breakdown of the linear vibronic coupling Hamiltonian

Factors promoting hot-exciton formation during charge recombination in organic thin films

Fine‐Tuning the Photophysics of Donor‐Acceptor (D‐A3) Thermally Activated Delayed Fluorescence Emitters Using Isomerisation

Atomic-scale observation of solvent reorganization influencing photoinduced structural dynamics in a copper complex photosensitizer

Towards the automated extraction of structural information from X-ray absorption spectra

Tom Penfold Information

University

Position

Chemistry

Citations(all)

8115

Citations(since 2020)

6106

Cited By

4466

hIndex(all)

47

hIndex(since 2020)

36

i10Index(all)

103

i10Index(since 2020)

95

Email

University Profile Page

Newcastle University

Google Scholar

View Google Scholar Profile

Tom Penfold Skills & Research Interests

organic electronics

x-ray spectroscopy

machine learning

ultrafast dynamics

Top articles of Tom Penfold

Title

Journal

Author(s)

Publication Date

Partial Density of States Representation for Accurate Deep Neural Network Predictions of X-ray Spectra

Clelia Middleton

Basile Curchod

Thomas Penfold

2024/2/9

Spin-Vibronic Intersystem Crossing and Molecular Packing Effects in Heavy Atom Free Organic Phosphor

Journal of Chemical Theory and Computation

Thomas Pope

Julien Eng

Andrew Monkman

Thomas J Penfold

2024/1/25

The Photochemistry of Rydberg Excited Cyclobutanone: Photoinduced Processes and Ground State Dynamics

arXiv preprint arXiv:2402.09140

Julien Eng

Conor Rankine

Thomas Penfold

2024/2/14

Mind the GAP: quantifying the breakdown of the linear vibronic coupling Hamiltonian

Physical Chemistry Chemical Physics

Thomas J Penfold

Julien Eng

2023

Factors promoting hot-exciton formation during charge recombination in organic thin films

Physical Review Applied

Thomas Pope

Thomas Penfold

2023/10/18

Fine‐Tuning the Photophysics of Donor‐Acceptor (D‐A3) Thermally Activated Delayed Fluorescence Emitters Using Isomerisation

ChemPhotoChem

Paloma L. dos Santos

Daniel de Sa Pereira

Julien Eng

Jonathan S Ward

Martin R Bryce

...

2023/2

Atomic-scale observation of solvent reorganization influencing photoinduced structural dynamics in a copper complex photosensitizer

Chemical Science

Tetsuo Katayama

Tae-Kyu Choi

Dmitry Khakhulin

Asmus O Dohn

Christopher J Milne

...

2023

Towards the automated extraction of structural information from X-ray absorption spectra

Digital Discovery

Tudur David

Nik Khadijah Nik Aznan

Kathryn Garside

Thomas Penfold

2023

Ionic accumulation as a diagnostic tool in perovskite solar cells: Characterizing band alignment with rapid voltage pulses

Advanced Materials

Nathan Hill

Matthew V. Cowley

Nadja Gluck

Miriam H. Fsadni

Will Clarke

...

2023/5/5

Improving the Conductivity of Amide-Based Small Molecules through Enhanced Molecular Packing and Their Application as Hole Transport Mediators in Perovskite Solar Cells

ACS Applied Energy Materials

Eman AA Alkhudhayr

Dumitru Sirbu

Miriam Fsadni

Benjamin Vella

Bening T Muhammad

...

2023/11/8

Towards panchromatic Fe (II) NHC sensitizers via HOMO inversion

Inorganic Chemistry Frontiers

Anil Reddy Marri

Bogdan Marekha

Thomas Penfold

Stefan Haacke

Philippe C Gros

2023

A deep neural network for valence-to-core X-ray emission spectroscopy

Molecular Physics

TJ Penfold

CD Rankine

2023/4/18

A deep learning framework for predictions of excited state properties of light emissive molecules

New Journal of Chemistry

Zheng Tan

Yan Li

Ziying Zhang

Thomas Penfold

Weimei Shi

...

2023

A Δ-learning strategy for interpretation of spectroscopic observables

Structural Dynamics

Luke Watson

Thomas Pope

Raphael M Jay

Ambar Banerjee

Philippe Wernet

...

2023/11/1

Synthesis and Structural Diversification of Circularly Polarised Luminescence Active, Helically Chiral, “Confused” N,N,O,C‐BODIPYs**

ChemPhotoChem

Rebecca G Clarke

Jake Weatherston

Rafid A Taj‐Aldeen

Paul G Waddell

William McFarlane

...

2023/1

Uncertainty quantification of spectral predictions using deep neural networks

Chemical Communications

Sneha Verma

Nik Khadijah Nik Aznan

Kathryn Garside

Thomas J Penfold

2023

Modelling the effect of dipole ordering on charge-carrier mobility in organic semiconductors

Organic Electronics

Thomas Pope

Yvelin Giret

Miriam Fsadni

Pablo Docampo

Chris Groves

...

2023/4/1

Disentangling the evolution of electrons and holes in photoexcited ZnO nanoparticles

Structural Dynamics

Christopher J Milne

Natalia Nagornova

Thomas Pope

Hui-Yuan Chen

Thomas Rossi

...

2023/11/1

Recent progress and application of computational chemistry to understand inorganic photochemistry

Thomas Penfold

Conor Rankine

Julien Eng

2023/1/1

An on-the-fly deep neural network for simulating time-resolved spectroscopy: Predicting the ultrafast ring opening dynamics of 1, 2-dithiane

Physical Chemistry Chemical Physics

Clelia Middleton

Conor D Rankine

Thomas J Penfold

2023

See List of Professors in Tom Penfold University(Newcastle University)

Co-Authors

H-index: 89
A Monkman

A Monkman

Durham University

H-index: 73
MAJED CHERGUI

MAJED CHERGUI

École Polytechnique Fédérale de Lausanne

H-index: 48
Fernando Baiao Dias

Fernando Baiao Dias

Durham University

H-index: 46
Graham Worth

Graham Worth

University College London

academic-engine