What Is nanoHUB.org and What Can You Do on the Platform?

Updated

nanoHUB.org is a web-based platform for computational nanotechnology research, education, and collaboration, open to anyone from any browser. It is built around four activity areas—Model & Simulate, Learn & Teach, Develop Software, and Share & Publish—and hosts 950+ simulation tools, 9,800+ published resources, and 5,900+ contributors serving 381,000+ registered members. It suits researchers who need simulation tools without local setup, educators building simulation-powered curricula, students learning through interactive apps, and developers publishing tools or apps.

What nanoHUB.org Is

nanoHUB describes itself as "the premier place for computational nanotechnology research, education, and collaboration," with the stated goal of "making data and simulation pervasive." The platform spans nanotechnology topics including nanoelectronics, nanobio, nanophotonics, nanomedicine, nanotransistors, NEMS, NEGF, and material science.

Two things distinguish it from a typical resource site:

  • Simulation runs in the browser. Tools are interactive apps, so you don't install simulation software locally.
  • Resources are published by their creators. Papers, seminars, lecture series, and teaching materials are contributed by researchers and are citable when you build on them.

The Four Main Activity Areas

Area What it covers
Model & Simulate Easy-to-use interactive apps, simulation tools, and workflows
Learn & Teach Simulation-powered curricula, courses, lectures, curated education materials
Develop Software Jupyter, Linux workstations, engines/frameworks, machine learning
Share & Publish Teaching materials, lectures, publishing a tool or app

Model & Simulate

The platform hosts 950+ simulation tools. Examples named on the site include:

  • Silvaco TCAD — the most-used tool at the time of the snapshot (72 users)
  • ABACUS — Assembly of Basic Applications for Coordinated Understanding of Semiconductors (39 users)
  • Process Lab: Oxidation (28 users)
  • MOSCap (19 users)
  • Band Structure Lab (18 users)
  • Jupyter Notebook (202105) (17 users)
  • Chip Design Explorer (16 users)
  • Drift-Diffusion Lab (15 users)
  • TCAD Lab (14 users)
  • AURA AI Agents for Simulations, Materials and Scientific Data (MCP Server) (14 users)

The site reported 397 users running tools across 506 sessions at the time of the snapshot, so tools are actively used rather than just listed.

Learn & Teach

9,800+ structured, globally used resources are available, organized as courses, lectures, and curated education materials. Recent examples from the community feed include:

  • Nanoelectronic Modeling Lecture 21.5: NEMO3D – Scaling to Large Problems: Parallel Computing (Online Presentation)
  • Nanoelectronic Modeling Lecture 21.2: NEMO3D – Strain: Balls and Springs (Online Presentation)
  • Control Circuit Lab — a teaching activity where students wire and interpret a Manual-Off-Auto control circuit simulating an industrial pneumatic system, then use validation testing to identify faults; tagged circuits, first-year engineering, sensor electronics, control systems

Develop Software

Contributors can work with Jupyter, Linux workstations, engines and frameworks, and machine learning. This area is aimed at people building or extending simulation tools rather than only running them.

Share & Publish

Contributors (5,900+ of them) publish teaching materials, lectures, and tools or apps. Published resources are citable, which matters if you want your teaching material or tool to be referenced by others.

How to Get Started

  1. Browse first. Explore the tool catalog and resource library to see whether your topic area is covered—check for tools like Band Structure Lab or Silvaco TCAD if you work in semiconductors.
  2. Register for an account. The site presents registration as the step for getting started; some tools and sessions are tied to registered members (381,000+).
  3. Run a tool in your browser. Launch an interactive app and confirm it fits your task before committing to a workflow.
  4. Use or adapt learning materials. Pull courses, lectures, or activities like the Control Circuit Lab into your own teaching.
  5. Publish if you contribute. If you build a tool, app, or teaching material, the Share & Publish path lets you post it and make it citable.

Who It's For

  • Researchers who want simulation tools and workflows without local installation
  • Educators who want simulation-powered curricula and ready-made activities
  • Students who learn best through interactive apps and lectures
  • Developers who want to build on Jupyter, Linux workstations, engines, or machine learning frameworks
  • Contributors who want their tools, apps, or teaching materials published and citable

The site does not state pricing or login requirements for specific tools in the material available here, so check the individual tool page before assuming a given app is open without registration.