Mythbusting Scientific Knowledge Transfer with...
Transcript of Mythbusting Scientific Knowledge Transfer with...
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Mythbusting
Over 13,000 / 330,000 Users Annually
nanoHUB.org Gerhard Klimeck, Purdue University, [email protected]
Scientific Knowledge Transfer with
Activities on http://nanoHUB.org in 172 countries
New Registrations Simulation Users Tutorial / Lecture Users
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Documenting with Real Data
Over 13,000 / 330,000 Users Annually
Research<=>Education, Collaborative, Global ImpactThe Essence of a Research University
lectures
Interactive
we have been like a
MOOC
Gerhard Klimeck, Purdue University, [email protected]
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Thanks to
nanoHUB and HUBzero Team
Research Group @Purdue 2003-....@NASA JPL 1998-2003@Texas Instruments 1994-1998
nanoHUB contributors:
380+ tool authors
1,080+ content authors
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more than a web site
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It’s FREE !!!Yes, really !!!
Users do not pay anything!
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1965
Number of Components per Integrated Circuit
http://www.intel.com/technology/mooreslaw
Rel
ativ
e M
anuf
actu
ring
Cos
t per
Com
pone
ntGordon Moore
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Moore’s Law
Robert Chau(Intel), 2004Robert Chau(Intel), 2004
Device Size:Tens of nanometers
Device Integration: >2 Billion
http://www.intel.com/technology/mooreslaw/index.htm
Stanford SUPREM
Berkeley SPICE
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Berkeley Simulation Program with Integrated Circuit Emphasis.
from: Larry Nagel, BCTM ‘96 • Started as a class project • Developed as a teaching tool • Quality control: pass Pederson • Dissemination: !Public domain code !Pederson carried tapes along !Students took it along
to industry and academia
!Released 1972
Laurence W. Nagel
Ronald A. Rohrer
Donald O.Pederson
http://www.omega-enterprises.net/
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StanfordStanford University PRocEss Modeling
• Stanford wanted to mimic Berkeley success
• Combine various existing models • Dissemination: !Public domain code !Community workshops !Students took it along
to industry and academia
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Birth of an Industy
Intel Capitalization: $85B
Total Industry: $280B
Process Simulation
Circuit
Simulation
Dev
ice
Siz
eTr
ansi
stor
s
Years
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Research
nano-scale
structures
Billions o
f nano
structu
res
Dev
ice
Siz
eTr
ansi
stor
s
Years
Electr
onics
Nano Initiatives
Materials
Photonics
MechanicsBio/Medicine
What’s Next?
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Nanotechnology
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Extensive Facilities
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Nano Models
Carbon Nanotubes
Quantum Dots Artificial Atoms
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Computational Nano
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Computational Nano
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Different Worlds
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Imagine Breaking Barriers
Easy use No Install
Any Browser
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Most research codes are written by one user
for one user
?Why is this so hard?
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Why is this so hard?
Most research codes are written by one user
for one user
?
Structure { Material { name = GaAs tag = substrate crystal_structure = simplecubic atoms = (GaAs) Lattice:a_lattice = 0.565 regions = (1) Bands:TB:s:param_set = nanohub Bands:TB:s:nanohub:E_S_GaAs = 12.1307935176 Bands:TB:s:nanohub:V_S_S_Sigma_GaAs_H = -20 Bands:TB:s:nanohub:passivation_potential = 125 } Domain { name = structure1 type = pseudomorphic base_material = substrate dimension = (18.0,19.0,9.0) periodic = (false, false, false) crystal_direction1 = (1,0,0) crystal_direction2 = (0,1,0) crystal_direction3 = (0,0,1) space_orientation_dir1 = (1,0,0) space_orientation_dir2 = (0,1,0) regions = (1) geometry_description = simple_shapes }
?
User Hostile
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User Hostile
Why is this so hard?
Most research codes are written by one user
for one user
?
Structure { Material { name = GaAs tag = substrate crystal_structure = simplecubic atoms = (GaAs) Lattice:a_lattice = 0.565 regions = (1) Bands:TB:s:param_set = nanohub Bands:TB:s:nanohub:E_S_GaAs = 12.1307935176 Bands:TB:s:nanohub:V_S_S_Sigma_GaAs_H = -20 Bands:TB:s:nanohub:passivation_potential = 125 } Domain { name = structure1 type = pseudomorphic base_material = substrate dimension = (18.0,19.0,9.0) periodic = (false, false, false) crystal_direction1 = (1,0,0) crystal_direction2 = (0,1,0) crystal_direction3 = (0,0,1) space_orientation_dir1 = (1,0,0) space_orientation_dir2 = (0,1,0) regions = (1) geometry_description = simple_shapes }
??
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Accessible (no installation)Most research codes are written by one user
for one userDeveloper FriendlyUser Friendly
Why is this so hard?
?
Rappture
HUBzero
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Cannot use research codes for education Must write own code to do research
Experimentalists cannot use research codes
User Friendly
Developer Friendly
Accessible (no installation)
Emerged Myths
Building User Interfaces too Difficult Must rewrite code for web deployment There is no incentive to share codes
NO End-to-end Science Cloud Possible
Customers
SuppliersMarket
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Step in the right direction:PADRE Industrial Tool – Bell Labs
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MOSFET: Running PADRE Simply
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Impact of Simplified GUI Tools
945 Users, 41,285 jobs
MOSFET:2,715 Users, 38,000 jobs
MOSCAP:1,694 Users, 18,000 jobs
PN junction:3,563 Users, 33,000 jobs
BJT:557 Users, 3,000 jobs
Drift-Diffusion:721 Users, 7,400 jobs
MUGfet:240 Users, 3,600 jobs
6,649 Users, 104,282 jobs
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Importance of a good GUI
CNTbands
Same behavior across all similar converted tools
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Balancing Usability and Capability
nanoHUB iPhone / iPad
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Balancing Usability and Capability
nanoHUB
iPhone / iPad
Interactive
What else is different? Developer Experience?
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• 175 tools / 4 years:=> $88M
Web DeveloperResearcher
• $500k/tool
• NO new research!
Usual Science Gateway Process
Many Proposals read alike
• Not validated by researcher (disowned)
• Researcher has much better version
• Code rewrite takes 2-3 years
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Web DeveloperResearcher
• Scale back expectations
• Not research codes
• Toy applications
• Not deep research
• Maybe for education?
Usual Science Gateway Process
Generating a Bad Reputation
• 175 tools / 4 years:=> $88M
• $500k/tool
• NO new research!Customers / Users
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Web DeveloperSub-Contractor Consultant
Researcher
• 175 tools / 4 yearswithout $88M
• Eliminate bottlenecks
• No Middleman
• No Rewrite
• Retain ownership
• Rapid Deployment:2-3 years è 1-2 weeks
•Rappture toolkit
•HUBzero Ecosystem
nanoHUB Process
nanoHUB is differentSupplier
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Continual Engagement
v1v2v3
nanoHUB can prove it
380+ Developers NOT PAID by NCN
SuppliersProductsProduct Innovation
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Developer Collaboration NetworkEach dot is a Developer Links are tools
Supplier Network
productsuppliers
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Developer Collaboration Impact
0
10000
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erve
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Red Dots: Median Data
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Red Dots: Median Data
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Developer Collaboration Impact
Red Dots: Median Data
Green Dots: Each Developer
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10
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10000
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rs S
erve
d
Collaborators
Small Collaborations: Scattered Success
Red Dots: Median Data
Green Dots: Each Developer
Large Collaborations Predictable Success
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10
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erve
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Old Approach
Red Dots: Median Data
Green Dots: Each Developer
Surviving Universities
P&T Criteria
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Dragica Vasileska
Next Generation Publications Research IncentivesGreat for Proposals => Proof of outreach
17 toolsè 11,570 users è 123 citations
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Shaikh Ahmed
• Infused nanoHUB into existing classes
• Built a new nanoelectronics curriculum
• Used nanoHUB for research
Next Generation Faculty:
Get images from annual report
Recently Dr. Ahmed was promoted to tenured Associate Professor. I would like to emphasize that Dr. Ahmed's use of nanoHUB in education and research, which earned him national and international visibility, did play a significant positive role in his early promotion case.
Glafkos Galanos Chair, Dept. of Electr. and Comp. Eng, SIUC
6,183 users 8 tools
Usage at SIUC
Post Doc at Purdue
Faculty at SIUC
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nanoHUB on iTunes U
Nov 2009 start~10,000 downloads/month
In Good Company: StanfordMoMA, PBS stationsThe New York Public Library, Public Radio International,
LeveragingNew Markets
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Wikipedia ContributionsPunjabi
Italian
German
16 animations deployed Jan 2010 on ~30 pages Brings 2,200 visitors for 4,000 visits monthly
Different Advertising
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Building User Interfaces too Difficult Must rewrite code for web deployment There is no incentive to share codes
Developer Friendly
360+
Inter
activ
e Too
ls
400+
Dev
elope
rs (m
ostly
volun
teers)
Myths BustedRapptureHUBzero
Suppliers
Products
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Cannot use research codes for education Must write own code to do research
Experimentalists cannot use research codes
Activities on http://nanoHUB.org in 172 countries
New Registrations Simulation Users Tutorial / Lecture Users
Accessible (no installation)
Emerged Myths
NO End-to-end Science Cloud Possible
Customers
Market
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User Behavior Analysis
Time (days)
Use
rs
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Time (days)
Use
rs
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Formal Education vs. Research
Myth Busted: Proof of use in EDUCATION!
Knowledge Transfer out of Research
22,649 students, 1,164 courses, 185 institutions
Voluntary / Viral Use
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User Behavior Analysis => Is Research Possible?
single tool, sustained,
intense
multiple tools, sustained, periodic
research, self-study
multiple tools, small class
single tool, single use /homework
Time (days)
Use
rs
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?1,100+ Papers Each dot is a paper
Research Support
Linked by 2,200+ authors Social Network!
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1,100+ Papers 64% outside NCN
Research Support
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1,100+ Papers 82% nano research 17% cyberinfrastr. 8% education
Research Support
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Research Support
1,100+ Papers 50% support experiments
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13,997 secondary citations Research
Quality
Research Support
1,100+ Papers
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Research Quality
nanoHUB 2014: 1,108 Papers 13,997 secondary citations h-index 56
Junior
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Compute Intensive: NEMO/OMEN
Atomistic Device representation
•Deemed by many too computationally intensive…
20 years development • Texas Instruments • NASA JPL • Purdue • Peta-scale Engineering • Gordon Bell • Science, Nature Nano
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Atomistic Device representation
•Deemed by many too computationally intensive…
Compute Intensive: NEMO/OMEN
20 years development • Texas Instruments • NASA JPL • Purdue • Peta-scale Engineering • Gordon Bell • Science, Nature Nano
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Atomistic Device representation
•Deemed by many too computationally intensive…
Compute Intensive: NEMO/OMEN
20 years development • Texas Instruments • NASA JPL • Purdue • Peta-scale Engineering • Gordon Bell • Science, Nature Nano
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18 years development • Texas Instruments • NASA JPL • Purdue • Peta-scale Engineering • Gordon Bell • Science, Nature Nano
Atomistic Device representation
•Deemed by many too computationally intensive…
Compute Intensive: NEMO/OMEN
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Atomistic Device representation
•Deemed by many too computationally intensive…
Compute Intensive: NEMO/OMEN
Powers 8 Tools: >18,400 Users
>352,000 Simulation Runs
20 years development • Texas Instruments • NASA JPL • Purdue • Peta-scale Engineering • Gordon Bell • Science, Nature Nano
347 classes w/ 3,404 students 82 citations
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Compute Intensive: NEMO/OMEN
267,362 Simulation Runs 10,786 Users 3,874 Users in 100 classes
Myth Busted!
Prove
Computational Extensive Work
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Usage Patterns
=> Tool Qualification
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Usage Patterns
=> Tool Qualification
Literature Citations
=> Tool Qualification
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235 tools!
SUPREM
SPICE
Dual Use
Education and Research are coupled!
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235 tools!
Time-evolution of nanoHUB tools
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Time to First Adoption
Typical textbook update: 3.8 years
Time Between Tool Publications and First Use in Classroom
DOI
DOIDOI
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0"
5"
10"
15"
20"
25"
30"
35"
1"Week"
1"Month"
3"Months"
6"Months"
9"Months"
1"Year"
2"Years"
3"Years"
4"Years"
4+"Years"
Total"
Different"Ins=tu=on"
Same"Ins=tu=on"
Revolutionizing Research è Classroom
Typical textbook update: 3.8 years
Median adoption time:174 days (5.7 months)
Time Between Tool Publications and First Use in Classroom
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Simulation Tools
• Used by researchers
• Used by experimentalists
• Used in education
In a scientific cloud
Without any installation
Fully operational 24/7
With assessed IMPACT
Imagine Over 329,000 Users Annually
1100 papers
22,000 students
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Simulation Tools and Experimental Data
• Used by researchers
• Used by experimentalists
• Used in education
In a scientific cloud
Without any installation
Fully operational 24/7
With assessed IMPACT
Imagine
Reproducible
Nano Engineering
In all areas of Nano Engineering and Science Personalized Learning at all workforce levels Become Part of the Day-to-Day Workflow
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• NSF Reconfigures NCN/nanoHUB • 2 types of awards:
• $2.9M/yr Central CI development – 5+5 years • $0.7M/yr 3 content creation awards – 5 years • $50M total – 56% increase
We WON the next 5+5 Years
Transferrable? New perspectives: • $500M Presidential Initiative – Manufacturing • $1,000M Presidential Initiative – Materials Genome Initiative
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CEINT, National Registry & nanoHUB
Have: Summary Experimental Data Curation Process Need: Broader user community Integration with supporting data Data visualization capability
Analytics - Established User Community - Simulation Tools
Have: Experimental Data Hypothesis Driven Data Structure Need: Broad Exposure Data integration with Registry Data analysis tools to answer questions
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Good Nano Guide
Have: Rich nano content Need: Broad Exposure Flexible site hosting Infrastructure Customizations for content development and management
Established User Community - Flexible Content Hosting
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0"
5"
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15"
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1"Week"
1"Month"
3"Months"
6"Months"
9"Months"
1"Year"
2"Years"
3"Years"
4"Years"
4+"Years"
Total&
The Essence of a Research University
Resear
Electr
onics
Materials
Photonics
MechanicsBio/Medicine
Global
Transformative
10
100
1000
10000
1 10
Use
rs S
erve
d
Collaborators CollaborationFocused
Growing
Recognized
Creative
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ThankYou!