Exploring QCD matter in extreme conditions with Machine Learning
In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …
problem-solving perspective for physics, offering new avenues for studying strongly …
Complex paths around the sign problem
The Monte Carlo evaluation of path integrals is one of a few general purpose methods to
approach strongly coupled systems. It is used in all branches of physics, from QCD and …
approach strongly coupled systems. It is used in all branches of physics, from QCD and …
Review on novel methods for lattice gauge theories
MC Banuls, K Cichy - Reports on Progress in Physics, 2020 - iopscience.iop.org
Formulating gauge theories on a lattice offers a genuinely non-perturbative way of studying
quantum field theories, and has led to impressive achievements. In particular, it significantly …
quantum field theories, and has led to impressive achievements. In particular, it significantly …
Complex Langevin and other approaches to the sign problem in quantum many-body physics
We review the theory and applications of complex stochastic quantization to the quantum
many-body problem. Along the way, we present a brief overview of a number of ideas that …
many-body problem. Along the way, we present a brief overview of a number of ideas that …
QCD equation of state at finite chemical potentials for relativistic nuclear collisions
We review the equation of state of QCD matter at finite densities. We discuss the
construction of the equation of state with net baryon number, electric charge, and …
construction of the equation of state with net baryon number, electric charge, and …
Extensive studies of the neutron star equation of state from the deep learning inference with the observational data augmentation
A bstract We discuss deep learning inference for the neutron star equation of state (EoS)
using the real observational data of the mass and the radius. We make a quantitative …
using the real observational data of the mass and the radius. We make a quantitative …
AI for nuclear physics
P Bedaque, A Boehnlein, M Cromaz… - The European Physical …, 2021 - Springer
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Menu Find a journal Publish with us Search Cart 1.Home 2.The European Physical Journal A …
Menu Find a journal Publish with us Search Cart 1.Home 2.The European Physical Journal A …
Finite-density Monte Carlo calculations on sign-optimized manifolds
We present a general technique for addressing sign problems that arise in Monte Carlo
simulations of field theories. This method deforms the domain of the path integral to a …
simulations of field theories. This method deforms the domain of the path integral to a …
Translating neutron star observations to nuclear symmetry energy via deep neural networks
PG Krastev - Galaxies, 2022 - mdpi.com
One of the most significant challenges involved in efforts to understand the equation of state
of dense neutron-rich matter is the uncertain density dependence of the nuclear symmetry …
of dense neutron-rich matter is the uncertain density dependence of the nuclear symmetry …
Status and future perspectives for lattice gauge theory calculations to the exascale and beyond
B Joó, C Jung, NH Christ, W Detmold… - The European Physical …, 2019 - Springer
In this and a set of companion white papers, the USQCD Collaboration lays out a program of
science and computing for lattice gauge theory. These white papers describe how …
science and computing for lattice gauge theory. These white papers describe how …