Award Abstract # 1227110
Network for Computational Nanotechnology Cyber Platform

NSF Org: EEC
Div Of Engineering Education and Centers
Recipient: PURDUE UNIVERSITY
Initial Amendment Date: November 20, 2012
Latest Amendment Date: November 3, 2023
Award Number: 1227110
Award Instrument: Cooperative Agreement
Program Manager: Dana L. Denick
ddenick@nsf.gov
 (703)292-8866
EEC
 Div Of Engineering Education and Centers
ENG
 Directorate For Engineering
Start Date: December 1, 2012
End Date: November 30, 2024 (Estimated)
Total Intended Award Amount: $14,500,000.00
Total Awarded Amount to Date: $30,792,392.00
Funds Obligated to Date: FY 2013 = $5,800,000.00
FY 2014 = $4,356,236.00

FY 2015 = $3,643,156.00

FY 2016 = $1,980,000.00

FY 2017 = $2,000,000.00

FY 2018 = $2,900,000.00

FY 2019 = $3,713,000.00

FY 2020 = $2,400,000.00

FY 2021 = $2,300,000.00

FY 2022 = $1,700,000.00
History of Investigator:
  • Gerhard Klimeck (Principal Investigator)
    gekco@purdue.edu
  • Michael Zentner (Co-Principal Investigator)
  • Lynn Zentner (Co-Principal Investigator)
  • Alejandro Strachan (Co-Principal Investigator)
  • Michael McLennan (Former Co-Principal Investigator)
  • Krishna Madhavan (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Purdue University
2550 NORTHWESTERN AVE # 1100
WEST LAFAYETTE
IN  US  47906-1332
(765)494-1055
Sponsor Congressional District: 04
Primary Place of Performance: Purdue University
1205 W State St
West Lafayette
IN  US  47907-2057
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): YRXVL4JYCEF5
Parent UEI: YRXVL4JYCEF5
NSF Program(s): EWFD-Eng Workforce Development,
ERC-Eng Research Centers,
NANOSCALE: SCIENCE & ENGIN CTR,
Special Projects - CCF,
CYBERINFRASTRUCTURE,
NanoSim-Nanosim Groups-Network,
ENG NNI Special Studies,
Data Cyberinfrastructure,
Software Institutes
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01001314DB NSF RESEARCH & RELATED ACTIVIT

01001415DB NSF RESEARCH & RELATED ACTIVIT

01001516DB NSF RESEARCH & RELATED ACTIVIT

01001617DB NSF RESEARCH & RELATED ACTIVIT

01001718DB NSF RESEARCH & RELATED ACTIVIT

01001819DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 026Z, 113E, 116E, 124E, 131E, 7219, 7433, 7680, 8004, 8048, 8211, 9178, 9251
Program Element Code(s): 136000, 148000, 167500, 287800, 723100, 760400, 768100, 772600, 800400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041, 47.070

ABSTRACT

Network for Computational Nanotechnology (NCN) was founded in 2002 to advance nanoscience toward nanotechnology via online simulations on nanoHUB.org. Not only has nanoHUB become the first broadly successful, scientific end-to-end cloud computing environment, but it also has evolved well beyond online simulation. Annually, nanoHUB provides a library of 3,000 learning resources to 195,000 users worldwide. Its 232 simulation tools, free from the limitations of running software locally, are used in the cloud by over 10,800 annually. Its impact is demonstrated by 720+ citations to nanoHUB in the scientific literature with over 4,807 secondary citations, yielding an h-index of 31, and by a median time from publication of a research simulation program to classroom use of less than 6 months. Cumulatively, over 14,000 students in over 760 formal classes in over 100 institutions have used nanoHUB simulations.

Despite a decade of transformational success for a broad nanotechnology research and education community, significant gaps remain as work is still performed by isolated individuals and small groups. This fragmentation by specialty hinders tool and data sharing across knowledge domains. Nano areas such as bio, photonics, and materials are only beginning to use nanoHUB while manufacturing, informatics, environmental-health-and-safety are to date not even represented on nanoHUB. The NCN Cyber Platform proposes to address these gaps through efforts in three strategic goals to: 1) accelerate research by transforming nanoscience to nanotechnology through the integration of simulation with experimentation; 2) inspire and educate the next-generation nanoscience and nanotechnology workforce; and 3) grow the nanoHUB society that uses and shares nanoHUB content. Five cross-cutting thrust areas focus on the cyberinfrastructure (CI) and social dynamics of the nanoHUB virtual society: CI innovation; content stewardship and node engagement; education research and precollege/college and lifelong learning; outreach, diversity, and marketing; and CI operations. The 10-year NCN nanoHUB Cyber Platform vision is that nanoHUB will be the online nano society that researchers, practitioners, educators and students depend on day-to-day while simultaneously immersed in professional practice and computational resources for a multidisciplinary culture of innovation grounded in cloud services-enabled workflows.

Intellectual Merit: The NCN nanoHUB strategic plan will answer two fundamental challenges to the next-generation nanoHUB experience: 1) development of technologies that enable simple management and publication of scientific data (experimental and simulation) without additional complex steps: and 2) the establishment of a value system that fosters publication of data, tools, and lectures similar to today's rewards for journal publications. CI innovation, developed through the leading HUBzero platform as well as in cooperation with other CI efforts, will enable new connection points for research, education, and commercialization, expanded platform tool features to help users exchange and publish data; combined data and tools for verification, validation, and engineering activities; and increase immersive and pervasive features. Through partnerships with professional societies and commercial publishers, nanoHUB will change how researchers publish their simulation results through novel interactive journals that reflect a user's workflow, link directly back to their data, and make the work reproducible. This value system will drive new content toward nanoHUB, obviating the need for content generation to be monetarily supported by NCN. Through partnerships with the three new NCN content nodes and other NSF-funded nano efforts, NCN will continue to foster content creation to demonstrate value to the authors and will prototype, test, and host the proposed new technologies for broad usage.

Broader Impacts: NCN has developed processes that enabled researchers to rapidly deploy their research codes and innovative tutorials and classes on nanoHUB. To date, these processes harvested research and educational results from 890 contributors world-wide. Expansion into new areas of nano research and education, including pre-college education, represent a huge growth potential for nanoHUB that goes beyond simulation to embracing data management, search, and exploration. Focus on diversity will continue to be an integral part of NCN's outreach program, in particular through focused workshops and new initiatives such as EPICS High. The NCN-pioneered HUBzero already powers 40 HUBs at 12 institutions, serving a broad range of science and engineering disciplines and commercialization. Through impact assessment and continual contributions to HUBzero software stack releases, nanoHUB will continue to drive impact beyond its nano society into other disciplines and institutions.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Krishna Madhavan, Lynn Zentner, Victoria Farnsworth, Swaroop Shivarajapura, Michael Zentner, Nathan Denny, Gerhard Klimeck "nanoHUB.org: cloud-based services for nanoscale modeling, simulation, and education" Nanotechnology Reviews , v.2 , 2013 , p.107-117 10.1515/ntrev-2012-0043
Madhavan, K., Zentner, M., and Klimeck, G. "Learning and Research in the Cloud." Nature Nanotechnology , v.8 , 2013 , p.786 10.1038/nnano.2013.231
Zentner, L, Zentner, M, Farnsworth, V, McLennan, M, Madhavan, K and Klimeck, G "nanoHUB.org: Experiences and Challenges in Software Sustainability for a Large Scientific Community" Journal of Open Research Software , v.2 , 2014 , p.e19 http://dx.doi.org/10.5334/jors.bd
Hunt, M., Haley, B., McLennan, M., Koslowski, M., Murthy, J., Strachan, A. "PUQ: a code for non-intrusive uncertainty propagation in computer simulations" Computer Physics Communications , 2015 , p.97
Douglas, K.A., Bermel, P., Alam, M.M.& Madhavan, K. "Big Data Characterization of Learner Behavior in a Highly Technical MOOC Engineering Course" Journal of Learning Analytics , v.3 , 2016 , p.170 http://dx.doi.org/ 10.18608/jla.2016.33.9
Kong, Y., Douglas, K.A., Rodgers, K.J., Diefes-Dux, H.A., & Madhavan, K. "Size and Scale Framework for Guiding Curriculum Design and Assessment" Journal of Engineering Education , v.106 , 2017 , p.431 10.1002/jee.20172

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