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PI: Professor Andre Schleife, PhD (MatSE)
Co-PIs: Michal Ondrejcek, PhD (NCSA)
In short, the fellowship is exploring the development of the data science infrastructure that will enable a new computational/experimental approach to semiconductor nanocrystal (SNC) design.
Updates
4/23/2018
- Final Presentation by Andre
4/20/2018
- test data created without students knowing the details, run through the system and avaluate the most sensitive parameter
- script with MDF pipeline
4/06/2018
- ask Ben for the closed space on Petrel
- check GitHub repository and documentation
- ask NCSA for hosting the VM on Nebula
3/30/2018
- TBD
3/16/2018
- progress in web dashboard
- Neural network and Random forest outputs discussed
- MDF as an storage output, API, space etc.
3/9/2018
- Engineering Open House (EOH) presentations, viewing of molecules
- 3d goggles
3/2/2018 4pm
- getting ready for EOH, 3d goggles with molecules
2/16/2018 4pm
- Matlab (Igor) code for Gaussian curves
2/2/2018 4pm
- 'dummy' Gaussian fitting predictions using Neural Network
- front end discussed
- Engineering Open House app for visualizing molecules
12/13/2017 3:30pm
- Argonne visit with Andre Schleife (presentation)
12/8/2017 3:30pm
- Gaussian fitting predictions using Random Forest discussed
- front end
- GitHub repositoryFriday meeting
12/1/2017 3:00pm
- look at the metadata (JSON) of experimental curvesFriday meeting
11/17/2017 3:00pm
- Friday meeting
11/10/2017 3:00pm
- Friday meeting
11/7/2017 3:00pm
- Attended Faculty Fellows reception at NCSA
10/11/2017 3:00pm
- introductory meeting with Andre Schleife in MatSE
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