Results 1 to 10 of about 3,155,901 (384)
Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016), 2016 THE British Association discussion at Norwich on nuclear physics on September 5 was opened by Lord Rutherford. After a review of progress resulting from the application of high voltages to nuclear transmutation, he passed on to discuss the rapid ...
Martin J. Savage
semanticscholar +4 more sources
Machine learning in nuclear physics at low and intermediate energies [PDF]
Science China Physics Mechanics and Astronomy, 2023 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 big-data processing tasks. In this review, we first briefly introduce the different
Wanbing He +5 more
semanticscholar +1 more source
High-energy nuclear physics meets machine learning [PDF]
Nuclear Science and Techniques, 2023 Although seemingly disparate, high-energy nuclear physics (HENP) and machine learning (ML) have begun to merge in the last few years, yielding interesting results. It is worthy to raise the profile of utilizing this novel mindset from ML in HENP, to help
Wanbing He +4 more
semanticscholar +1 more source
Theoretical tools for neutrino scattering: interplay between lattice QCD, EFTs, nuclear physics, phenomenology, and neutrino event generators [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2022 Maximizing the discovery potential of increasingly precise neutrino experiments will require an improved theoretical understanding of neutrino-nucleus cross sections over a wide range of energies.
L. A. Ruso +56 more
semanticscholar +1 more source
BUQEYE guide to projection-based emulators in nuclear physics [PDF]
Frontiers of Physics, 2022 The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective field theory) presents a pedagogical introduction to projection-based, reduced-order emulators for applications in low-energy nuclear physics.
C. Drischler +6 more
semanticscholar +1 more source
Nuclear Physics Multimessenger Astrophysics Constraints on the Neutron Star Equation of State: Adding NICER’s PSR J0740+6620 Measurement [PDF]
Astrophysical Journal, 2021 In the past few years, new observations of neutron stars (NSs) and NS mergers have provided a wealth of data that allow one to constrain the equation of state (EOS) of nuclear matter at densities above nuclear saturation density.
P. T. Pang +5 more
semanticscholar +1 more source
Expanding Nuclear Physics Horizons with the Gamma Factory [PDF]
Annals of Physics, 2021 The Gamma Factory (GF) is an ambitious proposal, currently explored within the CERN Physics Beyond Colliders program, for a source of photons with energies up to ≈400 MeV and photon fluxes (up to ≈1017 photons s−1) exceeding those of the currently ...
D. Budker +15 more
semanticscholar +1 more source
Review of the development of tandem accelerator laboratory in 35 years
He jishu, 2023 The year 2023 marks the 35th anniversary of the establishment of the Beijing Tandem Accelerator Nuclear Physics National Laboratory. Accelerators and nuclear reactors are the two main tools for studying nuclear science. In 1988, the Tandem Laboratory was
LIU Weiping
doaj +1 more source
Nuclear Physics. The Societal Impact – A project for Greece? [PDF]
EPJ Web of Conferences, 2021 Answers to some of the most important questions that our world is facing out, will come from interdisciplinary efforts in medicine, energy and climate. These are involving contributions from fundamental research and in particular from nuclear physics and
Alamanos Nicolas
doaj +1 more source
Machine Learning in Nuclear Physics [PDF]
, 2021 Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances that will facilitate scientific ...
A. Boehnlein +17 more
semanticscholar +1 more source