Andrew Briggs

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Professor

University of Oxford

United Kingdom

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About

Professor Andrew Briggs is a faculty member at the University of Oxford, UK. His research primarily focuses on quantum devices, including the performance of single-molecule transistors and the application of machine learning in quantum systems. Recent contributions include exploring thermoelectric limitations in graphene nanodevices and the dynamics of charge transport through nanoscale materials.

Recent Grants

Grant: Close

Molecular quantum devices

Open Date: 2013-01-30

Close Date: 2018-01-29

Grant: Close

Putting spin into carbon nanoelectronics

Open Date: 2010-04-30

Close Date: 2013-10-31

Grant: Close

NSF: Templated Ordered Endohedral Fullerenes as Building Blocks for Quantum Computing

Open Date: 2008-06-30

Close Date: 2011-12-31

Grant: Close

Platform Grant Support for Materials Characterisation at Oxford

Open Date: 2008-05-31

Close Date: 2013-05-30

Grant: Close

Diamond microstructures for quantum information technologies

Open Date: 2007-11-01

Close Date: 2008-03-30

Articles (17)

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2025

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (19)

Jan A. Mol

Queen Mary University of London

UNITED KINGDOM

Andrew Briggs

Research Interests

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About

Recent Grants

Articles (17)

Two-terminal analog memory comprising self-assembled monolayers of edge-fused porphyrin oligomers

Connections to the Electrodes Control the Transport Mechanism in Single‐Molecule Transistors

Connections to the Electrodes Control the Transport Mechanism in Single‐Molecule Transistors

Quantum interference enhances the performance of single-molecule transistors

Thermoelectric Limitations of Graphene Nanodevices at Ultrahigh Current Densities

Stability of long-sustained oscillations induced by electron tunneling

Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning

Phase-Coherent Charge Transport through a Porphyrin Nanoribbon

Identifying Pauli spin blockade using deep learning

Charge-State Dependent Vibrational Relaxation in a Single-Molecule Junction

Statistical signature of electrobreakdown in graphene nanojunctions

Ultrastrong coupling between electron tunneling and mechanical motion

Radio-frequency characterization of a supercurrent transistor made of a carbon nanotube

Charge transport through extended molecular wires with strongly correlated electrons

Deep reinforcement learning for efficient measurement of quantum devices

Measuring the Thermodynamic Cost of Timekeeping

Quantum device fine-tuning using unsupervised embedding learning

Collaborators (19)

Jan A. Mol

Oleg Kolosov

Lapo Bogani

Jie-Ren Deng

Colin Lambert

James Thomas

Peter Leek

Jonathan Baugh

Bart Limburg

Qingqing Wu

Charalambos Evangeli

Dominic Lennon

Vu Nguyen

Natalia Ares

Dominik Zumbühl

Harry Anderson

Edward McCann

Edward Laird

Dino Sejdinovic

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