Cover Image

MCNP-GO: A python package for assembling MCNP input files with a systems engineering approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Friou, Alexandre
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CardSharp: A python library for generating MCNP6 input decks
by: Deshmukh, Nikhil, et al.
Published: (2025)

A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems
by: Vlachas, Konstantinos, et al.
Published: (2024)

KabaddiPy: A package to enable access to Professional Kabaddi Data
by: Lalwani, Bhaskar, et al.
Published: (2025)

Fast assessment of non-Gaussian inputs in structural dynamics exploiting modal solutions
by: Trapp, Arvid, et al.
Published: (2024)

optipoly: A Python package for boxed-constrained multi-variable polynomial cost functions optimization
by: Alamir, Mazen
Published: (2024)

GO-GAN: Geometry Optimization Generative Adversarial Network for Achieving Optimized Structures with Targeted Physical Properties
by: Padmaprabhan, A., et al.
Published: (2025)

Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance
by: Mateo, Fernando, et al.
Published: (2024)

A Token-FCM based risk assessment method for complex engineering designs
by: Wang, Guan, et al.
Published: (2025)

A comprehensive comparison of neural operators for 3D industry-scale engineering designs
by: Zhong, Weiheng, et al.
Published: (2025)

A hydro-geomechanical porous-media model to study effects of engineered carbonate precipitation in faults
by: Wang, Yue, et al.
Published: (2025)

Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves
by: Sesa, Mahmoud, et al.
Published: (2023)

The LATIN-PGD methodology to nonlinear dynamics and quasi-brittle materials for future earthquake engineering applications
by: Rodriguez, Sebastian, et al.
Published: (2024)

Neural networks meet hyperelasticity: A monotonic approach
by: Klein, Dominik K., et al.
Published: (2025)

Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
by: Guo, Jiachen, et al.
Published: (2024)

Survival probability of structures under fatigue: a data-based approach
by: Cartiaux, Francois-Baptiste, et al.
Published: (2024)

A symbolic approach to discrete structural optimization using quantum annealing
by: Wils, Kevin, et al.
Published: (2023)

Generative Manufacturing: A requirements and resource-driven approach to part making
by: Chen, Hongrui, et al.
Published: (2024)

A waypoint based approach to visibility in performance based fire safety design
by: Börger, Kristian, et al.
Published: (2024)

Parameter Estimation in River Transport Models With Immobile Phase Exchange Using Dimensional Analysis and Reduced-Order Models
by: Reyna, Manuel M., et al.
Published: (2025)

X-Mesh: A new approach for the simulation of two-phase flow with sharp interface
by: Quiriny, Antoine, et al.
Published: (2023)

Weak-DMD: A Galerkin approach to the problem of noise in the Dynamic Mode Decomposition algorithm
by: Bennett, William, et al.
Published: (2026)

A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
by: Danesh, Hooman, et al.
Published: (2024)

A mixed-order quasicontinuum approach for beam-based architected materials with application to fracture
by: Kraschewski, Kevin, et al.
Published: (2024)

A coupled finite element-virtual element method for thermomechanical analysis of electronic packaging structures
by: Gong, Yanpeng, et al.
Published: (2025)

A batch production scheduling problem in a reconfigurable hybrid manufacturing-remanufacturing system
by: Vahedi-Nouri, Behdin, et al.
Published: (2025)

Patient-specific coronary angioplasty simulations -- a mixed-dimensional finite element modeling approach
by: Datz, Janina C., et al.
Published: (2024)

A hyperreduced manifold learning approach to nonlinear model order reduction for the homogenisation of hyperelastic RVEs
by: Faust, Erik, et al.
Published: (2025)

Mitigating subjectivity and bias in AI development indices: A robust approach to redefining country rankings
by: Campello, Betania Silva C, et al.
Published: (2024)

A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on Partition of Unity method
by: Rodriguez, Sebastian, et al.
Published: (2024)

FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset
by: Samuel, Sheeba, et al.
Published: (2024)

Inference in the presence of model-form uncertainties: Leveraging a prediction-oriented approach to improve uncertainty characterization
by: White, Rebekah, et al.
Published: (2026)

Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach
by: Wang, Bingran, et al.
Published: (2024)

A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics
by: Scheunemann, Lisa, et al.
Published: (2024)

PhoTorch: A robust and generalized biochemical photosynthesis model fitting package based on PyTorch
by: Lei, Tong, et al.
Published: (2025)

A 3d particle visualization system for temperature management
by: Lange, Benoit, et al.
Published: (2025)

A novel Taguchi-based approach for optimizing neural network architectures: application to elastic short fiber composites
by: Nikzad, Mohammad Hossein, et al.
Published: (2024)

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter
by: Rodriguez, Simon, et al.
Published: (2022)

Simple demonstration of different types of coupling in multiphysics numerical problems
by: Lavrov, Alexandre
Published: (2025)

Optimization of the initial post-buckling response of trusses and frames by an asymptotic approach
by: Ferrari, Federico, et al.
Published: (2025)

ZSMILES: an approach for efficient SMILES storage for random access in Virtual Screening
by: Accordi, Gianmarco, et al.
Published: (2024)