Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Monte Carlo N-Particle Transport Code: History & Art

Monte Carlo N-Particle Transport (MCNP) is a general-purpose, continuous-energy, generalized-geometry, time-dependent, Monte Carlo radiation transport code designed to track many particle types over broad ranges of energies and is developed by Los Alamos National Laboratory. Specific areas of application include, but are not limited to, radiation…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Monte Carlo N-Particle Transport Code topic overview

The analysis highlights History and Art as prominent areas in the source structure around Monte Carlo N-Particle Transport Code.

Related topics
18
Source areas
3
Connected nodes
21
Extracted relationships
22
Related term clusters
12
Bridge connections
21

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 11 topics
History · 6 topics
Benchmarking and validation · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
LANL
License
Restricted distribution (U.S. export controlled)
Operating system
Cross-platform
Stable release
MCNP6.3.1 / September 18, 2025; 11 months ago (2025-09-18)
Type
Computational physics
Written in
Fortran 90, C++

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Benchmarking and validation

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Monte Carlo N-Particle Transport Code connects Entity context

The extracted context around Monte Carlo N-Particle Transport Code shows recurring relationship patterns in the source. For example, Monte Carlo N-Particle Transport Code → LANL Another extracted example is Monte Carlo N-Particle Transport Code → Restricted distribution (U.S. export controlled). Use these groups to spot repeated connection types before inspecting the individual relationships.

Monte Carlo N-Particle Transport Code

Top relations

Developer · 1
Monte Carlo N-Particle Transport Code → LANL
License · 1
Monte Carlo N-Particle Transport Code → Restricted distribution (U.S. export controlled)
Operating system · 1
Monte Carlo N-Particle Transport Code → Cross-platform
Stable release · 1
Monte Carlo N-Particle Transport Code → MCNP6.3.1 / September 18, 2025; 11 months ago (2025-09-18)
Type · 1
Monte Carlo N-Particle Transport Code → Computational physics
Website · 1
Monte Carlo N-Particle Transport Code → mcnp.lanl.gov
Written in · 1
Monte Carlo N-Particle Transport Code → Fortran 90, C++

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

mcnp code monte carlo transport radiation nuclear data include validation los alamos national laboratory particle fission neutron safety codes models

Monte Carlo N-Particle Transport Code relationships Subject–Predicate–Object triples

TTTA extracted 22 structured relationships around Monte Carlo N-Particle Transport Code. Examples in this analysis include Monte Carlo N-Particle Transport Code → Developer → LANL and Monte Carlo N-Particle Transport Code → License → Restricted distribution (U.S. export controlled). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Monte Carlo N-Particle Transport CodeDeveloperLANL1.00infobox
Monte Carlo N-Particle Transport CodeLicenseRestricted distribution (U.S. export controlled)1.00infobox
Monte Carlo N-Particle Transport CodeOperating systemCross-platform1.00infobox
Monte Carlo N-Particle Transport CodeStable releaseMCNP6.3.1 / September 18, 2025; 11 months ago (2025-09-18)1.00infobox
Monte Carlo N-Particle Transport CodeTypeComputational physics1.00infobox
Monte Carlo N-Particle Transport CodeWebsitemcnp.lanl.gov1.00infobox
Monte Carlo N-Particle Transport CodeWritten inFortran 90, C++1.00infobox
criticality safetyinstance ofIndependent reviews and validation efforts reported in the technical literature examine MCNP’s performance in contexts0.80text
radiation shieldinginstance ofIndependent reviews and validation efforts reported in the technical literature examine MCNP’s performance in contexts0.80text
detector responseinstance ofIndependent reviews and validation efforts reported in the technical literature examine MCNP’s performance in contexts0.80text
reactor physicsinstance ofIndependent reviews and validation efforts reported in the technical literature examine MCNP’s performance in contexts0.80text
medical physicsinstance ofIndependent reviews and validation efforts reported in the technical literature examine MCNP’s performance in contexts0.80text

Related concept clusters Related term clusters

The concept neighborhoods around Monte Carlo N-Particle Transport Code bring nearby vocabulary together. In this analysis, examples include Monte, Transport and Method. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Monte Carlo N-Particle Transport Code
    • Monte
    • Transport
    • Method
    • Mcnp
    • Particle
    • N-particle
    • Code
    • Radiation
    • Codes
    • Alamos
    • Los
    • Testing
  • monte carlo n-particle transport code
    • Monte
    • Particle
    • Transport
    • National
    • Method
    • Mcnp
    • Codes
    • N-particle
    • Code
    • Radiation
    • Alamos
    • Lanl
  • radiation transport
    • Transport
    • Safety
    • Shielding
    • Nuclear
    • Codes
    • Computational
    • Particle
    • Method
    • Criticality
    • Fission
    • Lanl
    • Models
  • radiation shielding
    • Transport
    • Safety
    • Shielding
    • Nuclear
    • Computational
    • Particle
    • Criticality
    • Fission
    • Models
    • Method
    • Include
    • National
  • radiation safety information computational center
    • Transport
    • Safety
    • Shielding
    • Nuclear
    • Computational
    • Radiation
    • Particle
    • Lanl
    • Criticality
    • Fission
    • Models
    • Method
  • los alamos national laboratory
    • Alamos
    • Los
    • National
    • Laboratory
    • N-particle
    • Carlo
    • Monte
    • Particle
    • Mcnp
    • Radiation
    • Track
    • Code
  • fission
    • Radiography
    • Energy
    • Neutron
    • Radiation
    • Shielding
    • Tallies
    • Track
    • Calculations
    • Method
    • Particle
    • Safety
    • Include
  • formal verification
    • Comparisons
    • Testing
    • Validation
    • Performance
    • Also
    • Evaluated
    • Used
    • Calculations
    • Code
    • Codes
    • Mcnp
    • Include

Connections between topic areas Semantic bridges

For Monte Carlo N-Particle Transport Code, one of the stronger structural bridges in this analysis connects Monte Carlo N-Particle Transport Code with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Monte Carlo N-Particle Transport Code — Overview · splits 10 ⟂ 12
Monte Carlo N-Particle Transport Code — History · splits 15 ⟂ 7

Map overview Semantic statistics

Monte Carlo N-Particle Transport Code

Nodes22
Edges21
Triples22
Avg. degree1.91
Density0.090909
Components1

Source & methodology

TTTA analyzes the structure around Monte Carlo N-Particle Transport Code to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Monte Carlo N-Particle Transport Code · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.

Monitor your Domain Rating with FrogDR