Results 21 to 30 of about 281,740 (353)

Bounding the QCD Equation of State with the Lattice

Journal of High Energy Physics, 2023
The equation of state of QCD matter at high densities is relevant for neutron star structure and for neutron star mergers and has been a focus of recent work.
Guy D. Moore, Tyler Gorda
doaj   +1 more source

Analytic expansions of multi-hadron finite-volume energies. I. Two-particle states

Journal of High Energy Physics, 2022
We derive analytic expansions for the finite-volume energies of weakly-interacting two-particle systems, using the general relations between scattering amplitudes and energies derived by Lüscher and others.
D. M. Grabowska, M. T. Hansen
doaj   +1 more source

Three relativistic neutrons in a finite volume

Journal of High Energy Physics, 2023
We generalize the relativistic field-theoretic (RFT) three-particle finite-volume formalism to systems of three identical, massive, spin-1/2 fermions, such as three neutrons.
Zachary T. Draper, Maxwell T. Hansen, Fernando Romero-López, Stephen R. Sharpe   +3 more
doaj   +1 more source

Recent Developments and Trends in Sheet Metal Forming

Metals, 2020
Sheet metal forming (SMF) is one of the most popular technologies for obtaining finished products in almost every sector of industrial production, especially in the aircraft, automotive, food and home appliance industries.
T. Trzepieciński
semanticscholar   +1 more source

Machine learning challenges in theoretical HEP [PDF]

, 2017
In these proceedings we perform a brief review of machine learning (ML) applications in theoretical High Energy Physics (HEP-TH). We start the discussion by defining and then classifying machine learning tasks in theoretical HEP.
Carrazza, Stefano
core   +2 more sources

Bootstrapping the gap in quantum spin systems

Journal of High Energy Physics, 2023
In this work we report on a new bootstrap method for quantum mechanical problems that closely mirrors the setup from conformal field theory (CFT). We use the equations of motion to develop an analogue of the conformal block expansion for matrix elements ...
Colin Oscar Nancarrow, Yuan Xin
doaj   +1 more source

Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning [PDF]

Knowledge Discovery and Data Mining
Large matrices arise in many machine learning and data analysis applications, including as representations of datasets, graphs, model weights, and first and second-order derivatives.
Michal Derezinski, Michael W. Mahoney
semanticscholar   +1 more source

Towards learning optimized kernels for complex Langevin

Journal of High Energy Physics, 2023
We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simulations, in order to circumvent the NP-hard sign problem.
Daniel Alvestad, Rasmus Larsen, Alexander Rothkopf   +2 more
doaj   +1 more source

Development of surface reconstruction algorithms for optical interferometric measurement

Frontiers of Mechanical Engineering, 2020
Optical interferometry is a powerful tool for measuring and characterizing areal surface topography in precision manufacturing. A variety of instruments based on optical interferometry have been developed to meet the measurement needs in various ...
Dongxu Wu, F. Fang
semanticscholar   +1 more source

Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments [PDF]

Theory of Evolutionary Computation, 2018
Many real-world optimization problems occur in environments that change dynamically or involve stochastic components. Evolutionary algorithms and other bio-inspired algorithms have been widely applied to dynamic and stochastic problems. This survey gives
Vahid Roostapour, M. Pourhassan, F. Neumann   +2 more
semanticscholar   +1 more source