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2017-09-08 skunkworks q&a information session v1.0 distr

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Skunkworks kickoff Q&A information session for Fall 2017.

2017-09-08 skunkworks q&a information session v1.0 distr

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Q&A Information Session
Dane Morgan
University of Wisconsin, Madison
ddmorgan@wisc.edu, W: 608-265-5879, C: 608-234-2906
UW Madison
September 8, 2017 1
To Join: Send me email at ddmorgan@wisc.edu with your
name, email, major (intended if not set), and any relevant
facts/interests (e.g., have project already, strong machine
learning skills, know python, want only solar energy, …)
What is the Informatics Skunkworks?
The “Informatics Skunkworks” is a group
dedicated to realizing the potential of
informatics for science and engineering.
2
Vision: Transform science and
engineering with informatics
Why Form the Informations
Skunkworks?
Incredible opportunity for young creative
researchers
3
Massive Data New FieldsTransformative Tools
How the Informatics Skunkworks
Works – Big Picture
• You talk to me if you are
interested.
• We find you a project with a
mentor (me, another faculty,
industry representative) –
you can bring a project.
• You work on the project for
either credit (most common)
or pay (if available) and get
cool results.
4
How the Informatics Skunkworks
Works – Details
• Typical commitment is ~10h/wk
during the year (3 credits),
possibly full time over summer
if adequate funds and interest.
• Participants should plan to
spend 2-3h/wk in lab at
designated “gathering” times.
• Participants should plan to meet
and present progress to a
mentor at least every 2 weeks.
5
Why Join the Skunkworks vs. Just Work
Separately?
• Community building: You can find a
like-minded community of colleagues
from which to learn and form a
network for a lifetime.
• Technical resources: Have people to
ask questions and have access to our
computational (codes and computers)
resources.
• Presentation opportunities: Utilize
frequent opportunities to present work
on web page, as posters and/or talks,
potentially publish papers.
• Learn teamwork: We tend to work in
teams to help build critical teamwork
skills for future employment.
• Snack food: Our lab is well stocked 
6

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2017-09-08 skunkworks q&a information session v1.0 distr

  • 1. Q&A Information Session Dane Morgan University of Wisconsin, Madison ddmorgan@wisc.edu, W: 608-265-5879, C: 608-234-2906 UW Madison September 8, 2017 1 To Join: Send me email at ddmorgan@wisc.edu with your name, email, major (intended if not set), and any relevant facts/interests (e.g., have project already, strong machine learning skills, know python, want only solar energy, …)
  • 2. What is the Informatics Skunkworks? The “Informatics Skunkworks” is a group dedicated to realizing the potential of informatics for science and engineering. 2 Vision: Transform science and engineering with informatics
  • 3. Why Form the Informations Skunkworks? Incredible opportunity for young creative researchers 3 Massive Data New FieldsTransformative Tools
  • 4. How the Informatics Skunkworks Works – Big Picture • You talk to me if you are interested. • We find you a project with a mentor (me, another faculty, industry representative) – you can bring a project. • You work on the project for either credit (most common) or pay (if available) and get cool results. 4
  • 5. How the Informatics Skunkworks Works – Details • Typical commitment is ~10h/wk during the year (3 credits), possibly full time over summer if adequate funds and interest. • Participants should plan to spend 2-3h/wk in lab at designated “gathering” times. • Participants should plan to meet and present progress to a mentor at least every 2 weeks. 5
  • 6. Why Join the Skunkworks vs. Just Work Separately? • Community building: You can find a like-minded community of colleagues from which to learn and form a network for a lifetime. • Technical resources: Have people to ask questions and have access to our computational (codes and computers) resources. • Presentation opportunities: Utilize frequent opportunities to present work on web page, as posters and/or talks, potentially publish papers. • Learn teamwork: We tend to work in teams to help build critical teamwork skills for future employment. • Snack food: Our lab is well stocked  6
  • 7. Some Stuff the Skunkworks Has/Does • Large lab with lot’s of snacks (thanks to Profs Rebecca Willet and Robert Nowak) – EH 3546 • Excellent web page to highlight our accomplishments (skunkworks.wisc.edu) – Always looking for people to help develop this • Experienced members who know powerful informatics tools (python, matlab, SciKitLearn, tensorflow, etc.) • Neat data sets you can explore (mostly in materials) • Many opportunities for posters, talks, papers, etc. 7
  • 8. Some Recent Skunkworks Accomplishments • Highlighted as one of the 32 accomplishments of the first five years of the $500m Materials Genome Initiative • Finalist in the 2017 Wisconsin Innovation Awards • First paper - H. Wu, et al., Computational Materials Science, 2017 • High-profile fellowships (Vanessa Meschke won Citrine, LLC NextGen fellowship and Best Capstone Project award – free powerbook!) • Dozens of presentations at conferences 8
  • 9. Example: Machine Learning for Impurity Diffusion • Machine learning provides enormous opportunities for materials, including generating new data from pattern, finding correlations, ’reading’ papers, … • Machine-learning models trained on with high- throughput calculated data can extend it by orders of magnitude • We have extended our diffusion data by ~5x with machine learning model, saving years and ~$1m http://diffusiondata.materialshub.org/ 10 -18 10 -16 10 -14 Diffusiv 1.0 1.5 2.0 2.5 3.0 DiffusionBarrier[eV] Y Zr Nb Mo Tc Ru Rh Pd Ag Cd In Sn Sb Actual Barriers LR DT ANN GKRR Al 0.8 1.2 1.6 2.0 SoluteDiffusionBarrier[eV] Sc Y La Ti Zr Hf V Nb Ta Cr Mo W Mn Tc Re Fe Ru Os Co Rh Ir Ni Pd Pt Cu Ag Au Zn Cd Hg Ga In Tl Ge Sn Pb As Sb Bi Ca Sr Ba K Rb Cs Pb - GKRR H. Wu, et al., Comp. Mat. Sci ’17
  • 10. Conclusions Informatics is a transformative technology for nearly everything – come join us! Some experienced skunkworkers to talk to 10 Benjamic Afflerbach Vanessa Meschke