All Research Papers Published In Computer Physics Communications

Research Article
1
10.1016/j.cpc.2025.109653

Goupil: A Monte Carlo engine for the backward transport of low-energy gamma-rays

Sep 01, 2025
Computer Physics Communications
Valentin Niess + 2 more +2

Research Article
3
10.1016/j.cpc.2025.109659

DLScanner: A parameter space scanner package assisted by deep learning methods

Sep 01, 2025
Computer Physics Communications
A Hammad + 1 more +1

Research Article
1
10.1016/j.cpc.2025.109634

PENGEOM – A general-purpose geometry package for Monte Carlo simulation of radiation transport in complex material structures (New Version Announcement)

Aug 01, 2025
Computer Physics Communications
Julio Almansa + 5 more +5

Research Article
10.1016/j.cpc.2025.109642

Efficient computation of the magnetic field created by a toroidal volumetric current of convex cross section with application to the study of the magnetic confinement in tokamaks

Aug 01, 2025
Computer Physics Communications
Miguel Camacho + 5 more +5

Research Article
2
10.1016/j.cpc.2025.109596

Direct minimization on the complex Stiefel manifold in Kohn-Sham density functional theory for finite and extended systems

Jul 01, 2025
Computer Physics Communications
Kai Luo + 2 more +2

Research Article
5
10.1016/j.cpc.2025.109586

Hybrid multi-head physics-informed neural network for depth estimation in terahertz imaging

Jul 01, 2025
Computer Physics Communications
Mingjun Xiang + 3 more +3

Research Article
2
10.1016/j.cpc.2025.109597

Directional finite difference method for directly solving 3D gyrokinetic field equations with enhanced accuracy

Jul 01, 2025
Computer Physics Communications
Min-Gu Yoo + 3 more +3

Research Article
10.1016/s0010-4655(25)00133-x

Editorial Board

Jul 01, 2025
Computer Physics Communications

Research Article
2
10.1016/j.cpc.2025.109550

The qspec Python package: A physics toolbox for laser spectroscopy

Jun 01, 2025
Computer Physics Communications
P Müller + 1 more +1

The analysis of experimental results with Python often requires writing many code scripts which all need access to the same set of functions. In a common field of research, this set will be nearly the same for many users. The qspec Python package was developed to provide functions for physical formulas, simulations and data analysis routines widely used in laser spectroscopy and related fields. Most functions are compatible with numpy arrays, enabling fast calculations with large samples of data. A multidimensional linear regression algorithm enables a King plot analyses over multiple atomic transitions. A modular framework for constructing lineshape models can be used to fit large sets of spectroscopy data. A simulation module within the package provides user-friendly methods to simulate the coherent time-evolution of atoms in electromagnetic fields without the need to explicitly derive a Hamiltonian.

Research Article
8
10.1016/j.cpc.2025.109567

PyFR v2.0.3: Towards industrial adoption of scale-resolving simulations

Jun 01, 2025
Computer Physics Communications
Freddie D Witherden + 19 more +19