Dense nuclear matter equation of state from heavy-ion collisions

A Sorensen, K Agarwal, KW Brown, Z Chajęcki… - Progress in Particle and …, 2024 - Elsevier
The nuclear equation of state (EOS) is at the center of numerous theoretical and
experimental efforts in nuclear physics. With advances in microscopic theories for nuclear …

Colloquium: Machine learning in nuclear physics

A Boehnlein, M Diefenthaler, N Sato, M Schram… - Reviews of modern …, 2022 - APS
Advances in machine learning methods provide tools that have broad applicability in
scientific research. These techniques are being applied across the diversity of nuclear …

Machine learning in nuclear physics at low and intermediate energies

W He, Q Li, Y Ma, Z Niu, J Pei, Y Zhang - Science China Physics …, 2023 - Springer
Abstract Machine learning (ML) is becoming a new paradigm for scientific research in
various research fields due to its exciting and powerful capability of modeling tools used for …

[HTML][HTML] The present and future of QCD

P Achenbach, D Adhikari, A Afanasev, F Afzal… - Nuclear Physics A, 2024 - Elsevier
Abstract This White Paper presents an overview of the current status and future perspective
of QCD research, based on the community inputs and scientific conclusions from the 2022 …

Long Range Plan: Dense matter theory for heavy-ion collisions and neutron stars

A Lovato, T Dore, RD Pisarski, B Schenke… - arXiv preprint arXiv …, 2022 - arxiv.org
Since the release of the 2015 Long Range Plan in Nuclear Physics, major events have
occurred that reshaped our understanding of quantum chromodynamics (QCD) and nuclear …

The quest for superheavy elements and the limit of the periodic table

OR Smits, CE Düllmann, P Indelicato… - Nature Reviews …, 2024 - nature.com
The borders of the periodic table of the elements and of the chart of nuclides are not set in
stone. The desire to explore the properties of atoms and their nuclei in a regime of very large …

Neutrinoless double-beta decay: a roadmap for matching theory to experiment

V Cirigliano, Z Davoudi, W Dekens, J de Vries… - arXiv preprint arXiv …, 2022 - arxiv.org
The observation of neutrino oscillations and hence non-zero neutrino masses provided a
milestone in the search for physics beyond the Standard Model. But even though we now …

Optical potentials for the rare-isotope beam era

C Hebborn, FM Nunes, G Potel… - Journal of Physics G …, 2023 - iopscience.iop.org
We review recent progress and motivate the need for further developments in nuclear optical
potentials that are widely used in the theoretical analysis of nucleon elastic scattering and …

Viscosities of the baryon-rich quark-gluon plasma from beam energy scan data

C Shen, B Schenke, W Zhao - Physical Review Letters, 2024 - APS
This work presents the first Bayesian inference study of the (3+ 1) D dynamics of relativistic
heavy-ion collisions and quark-gluon plasma viscosities using an event-by-event (3+ 1) D …

Local Bayesian Dirichlet mixing of imperfect models

V Kejzlar, L Neufcourt, W Nazarewicz - Scientific Reports, 2023 - nature.com
To improve the predictability of complex computational models in the experimentally-
unknown domains, we propose a Bayesian statistical machine learning framework utilizing …