OpenMM

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Export map as:

Research this topic

Explore the main themes, entities and connections around OpenMM. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Features

Wrapper Commonly used force fields Integrators Langevin Verlet

7 related topics

Overview

Molecular dynamics Vijay S. Pande Stanford University Folding@home Protein dynamics

9 related topics

Key facts & relationships

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

Available in: English
Developers: Stanford University Memorial Sloan Kettering Cancer Center Pompeu Fabra University National Heart, Lung, and Blood Institute
License: MIT License LGPL
Operating system: Linux, macOS, Windows
Original author: Peter Eastman
Platform: Many

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Features

Wrapper Wrapper library
Commonly used force fields Force field (chemistry)
Integrators Numerical integration
Langevin Langevin equation
Verlet Verlet integration
Nosé–Hoover Nosé–Hoover thermostat
Brownian Brownian motion

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Nodes19

Edges18

Triples22

Avg. degree1.89

Density0.105263

Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

OpenMM

Top relations

related to Features · 9

OpenMM → API, Brownian, Developers, Hoover, Langevin, Nosé, Python, Users, Verlet

Available in · 1

OpenMM → English

Developers · 1

OpenMM → Stanford University Memorial Sloan Kettering Cancer Center Pompeu Fabra University National Heart, Lung, and Blood Institute

License · 1

OpenMM → MIT License LGPL

Operating system · 1

OpenMM → Linux, macOS, Windows

Original author · 1

OpenMM → Peter Eastman

Platform · 1

OpenMM → Many

Release · 1

OpenMM → January 20, 2010; 16 years ago (January 20, 2010)

Repository · 1

OpenMM → github.com/openmm/openmm

Stable release · 1

OpenMM → 8.2.0 / 8 November 2024; 21 months ago (2024-11-08)

Important terminology Word statistics

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

Important terminology

core22 dynamics simulations gpus molecular cuda pande lab via also written peter eastman stanford university force folding home python integrators

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
OpenMM	Available in	English	1.00	infobox
OpenMM	Developers	Stanford University Memorial Sloan Kettering Cancer Center Pompeu Fabra University National Heart, Lung, and Blood Institute	1.00	infobox
OpenMM	License	MIT License LGPL	1.00	infobox
OpenMM	Operating system	Linux, macOS, Windows	1.00	infobox
OpenMM	Original author	Peter Eastman	1.00	infobox
OpenMM	Platform	Many	1.00	infobox
OpenMM	Release	January 20, 2010; 16 years ago (January 20, 2010)	1.00	infobox
OpenMM	Repository	github.com/openmm/openmm	1.00	infobox
OpenMM	Stable release	8.2.0 / 8 November 2024; 21 months ago (2024-11-08)	1.00	infobox
OpenMM	Type	Molecular dynamics	1.00	infobox
OpenMM	Website	openmm.org	1.00	infobox
OpenMM	Written in	C++, C, CUDA, Python	1.00	infobox
OpenMM	is a	library for performing molecular dynamics simulations on a wide variety of hardware architectures	0.90	text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

Connections between topic areas Semantic bridges

Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

Min side: 3