NanoHUB@Home

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nanoHUB@Home
Project
StatusInactive
CategoryNanotechnology, Nanoscience
ComputeCPU
RequiresVirtualBox
Development
DeveloperPurdue University
SponsorNetwork for Computational Nanotechnology
MaintainernanoHUB team
Initial releaseSeptember 1, 2019  (7 years ago)
DiscontinuedMarch 30, 2024  (2 years ago)
Software
Written inC++, BOINC
Operating systemWindows, Linux, macOS
SizeVariable virtual machine workloads
BOINC statistics
Stats as ofJune 18, 2021  (5 years ago)
Active users0
Total users705
Active hosts0
Total hosts1,288
Metadata
Websitehttps://boinc.nanohub.org/nanoHUB_at_home/
LicenseMixed; primarily open-source scientific software

nanoHUB@Home was a BOINC-based volunteer computing project operated through nanoHUB, an online science and engineering gateway focused on nanoscience and nanotechnology. The project allowed volunteers worldwide to donate unused CPU resources to assist with computational nanotechnology simulations and machine learning research.[1]

The project was connected to the broader nanoHUB cyberinfrastructure developed by the Network for Computational Nanotechnology (NCN) at Purdue University. nanoHUB itself became one of the largest scientific gateways dedicated to nanotechnology research and education, serving researchers, educators, and students in more than 170 countries.[2]

Why nanoHUB@Home?

Nanotechnology research often requires large-scale computational simulations involving quantum mechanics, materials science, semiconductor physics, molecular dynamics, and nanoscale device modeling. Many of these calculations are computationally intensive and can take hours or days on traditional systems.

nanoHUB@Home was created to supplement the computing resources available to nanoHUB users by leveraging distributed volunteer computing through BOINC. Instead of relying solely on centralized clusters or cloud resources, simulations could be distributed across thousands of volunteer computers around the world.[1]

The project also supported experimental machine learning efforts designed to generate predictive models from large collections of simulation results. According to Purdue researchers, this enabled approximate simulation results to be generated rapidly while reducing the need to rerun expensive calculations repeatedly.[1]

Goal

The primary goal of nanoHUB@Home was to connect volunteer computing to the simulation needs of nanoHUB, an online science gateway focused on nanotechnology. nanoHUB is operated by the Network for Computational Nanotechnology, headquartered at Purdue University.[3]

The project aimed to:

  • Accelerate nanotechnology simulations
  • Expand computational resources available to researchers
  • Improve educational access to simulation tools
  • Support machine learning and predictive modeling research
  • Demonstrate the usefulness of volunteer computing for computational nanoscience

Methods

 

nanoHUB@Home used the BOINC middleware platform developed at the University of California, Berkeley. BOINC distributes computational work units to volunteers and validates returned results using redundancy and cross-checking techniques.[4] Unlike many traditional BOINC projects, nanoHUB@Home required VirtualBox in addition to the BOINC client.[5] Virtual machines were used because nanoHUB simulation tools often required complex scientific software environments and dependencies that would have been difficult to deploy natively across many operating systems and hardware combinations.

The project supported over 200 simulation tools deployed through nanoHUB.org.[6] These applications covered a broad range of topics including:

  • Semiconductor device simulation
  • Quantum transport
  • Nanomaterials
  • Nanoelectronics
  • Molecular modeling
  • Materials engineering

The distributed infrastructure enabled volunteers to process workloads generated by educational and research users of nanoHUB. Purdue engineers noted that volunteer systems processed jobs significantly faster than many traditional computing venues used by the project.[7]

The project also contributed toward building machine learning datasets capable of interpolating simulation results across parameter spaces.[1]

History

The underlying nanoHUB platform evolved from earlier Purdue University initiatives dating back to the 1990s. The original PUNCH project later evolved into nanoHUB, which officially launched in 1998.[8]

In 2002, the National Science Foundation funded the Network for Computational Nanotechnology to expand nanoHUB into a major scientific gateway.[9]

nanoHUB@Home itself launched publicly in 2019.[1] Early project news updates documented rapid consumption of work units by volunteers and infrastructure upgrades required to keep pace with demand.[10]

Archived server status pages indicate that the project became inactive around 2021.[11]

See also

References

  1. 1.0 1.1 1.2 1.3 1.4 (2019-09-03}).Purdue's nanoHUB@Home project lets anyone contribute to cutting-edge nanotechnology research – no PhD required. Purdue University. Retrieved 2026-05-21}.
  2. NanoHUB. Wikipedia. Retrieved 2026-05-21}.
  3. (2019-12-11}).Pioneering nanotechnology cloud – nanoHUB - looks to future. Purdue University. Retrieved 2026-05-21}.
  4. Berkeley Open Infrastructure for Network Computing. Wikipedia. Retrieved 2026-05-21}.
  5. What is nanoHUB@Home?. nanoHUB@Home. Retrieved 2026-05-21}.
  6. What is nanoHUB@Home?. nanoHUB@Home. Retrieved 2026-05-21}.
  7. nanoHUB@Home News. nanoHUB@Home. Retrieved 2026-05-21}.
  8. Nanoelectronics Researchers Connect the Dots With Fast-growing nanoHUB Site. Purdue University. Retrieved 2026-05-21}.
  9. (2013-02-05}).Purdue researchers win $14.5 million NSF grant to take nanoHUB.org to next level. Purdue University. Retrieved 2026-05-21}.
  10. nanoHUB@Home News. nanoHUB@Home. Retrieved 2026-05-21}.
  11. nanoHUB@Home server status. Internet Archive. Retrieved 2026-05-21}.