Gert Aarts

Professor

Swansea University

United Kingdom

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About

Professor Gert Aarts is a faculty member at Swansea University in the United Kingdom. His research encompasses areas such as thermal quantum chromodynamics, stochastic processes in learning, and lattice gauge theory. Recent publications include works on bottomonium spectral functions and phase transitions in particle physics, reflecting his expertise in both theoretical and computational physics.

Articles (18)

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2025

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2025

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2024

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (8)

Christopher Allton

Swansea University

UNITED KINGDOM

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Seyong Kim

Professor

Sejong University

SOUTH KOREA

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Claudia Ratti

Professor

University of Houston

UNITED STATES

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Simon Hands

Professor of Theoretical Physics

University of Liverpool

UNITED KINGDOM

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Rachel Houtz

Assistant Professor

University of Florida

UNITED STATES

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Michele Caselle

Full professor

Università degli Studi di Torino

ITALY

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Sinead Ryan

Professor

Trinity College Dublin

IRELAND

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Biagio Lucini

Professor

Swansea University

UNITED KINGDOM

View details

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Gert Aarts

Research Interests

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Contact this professor

About

Articles (18)

Stochastic weight matrix dynamics during learning and Dyson Brownian motion

Bottomonium spectral functions in thermal QCD

On learning higher-order cumulants in diffusion models

Physics-driven learning for inverse problems in quantum chromodynamics

Scalar field restricted Boltzmann machine as an ultraviolet regulator

Diffusion models as stochastic quantization in lattice field theory

30 years of ECT*

Non-zero temperature study of spin 1/2 charmed baryons using lattice gauge theory

Phase Transitions in Particle Physics

Long-Range Ising Interactions Mediated by λϕ4 Fields: Probing the Renormalization of Sound in Crystals of Trapped Ions

Inverse Renormalization Group in Quantum Field Theory

Properties of the QCD thermal transition with Nf=2+1 flavors of Wilson quark

Quantum field-theoretic machine learning

Electrical conductivity of the quark-gluon plasma: perspective from lattice QCD

Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration

Theory of hot matter and relativistic heavy-ion collisions (THOR)

Mapping distinct phase transitions to a neural network

Extending machine learning classification capabilities with histogram reweighting

Collaborators (8)

Christopher Allton

Seyong Kim

Claudia Ratti

Simon Hands

Rachel Houtz

Michele Caselle

Sinead Ryan

Biagio Lucini

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