This page captures information about our support of Prof. Andre Schleife's faculty fellowship.
Overview
Title: Computational Infrastructure for Collaborative Design of Semiconductor Nanocrystals
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
2/2/2018
- 'dummy' Gaussian fitting predictions using Neural Networks
- front end discussed
- Engineering Open House app for visualizing molecules
12/13/2017
- Argonne visit with Andre Schleife (presentation)
12/8/2017
- Gaussian fitting predictions using Random Forest discussed
- front end
- GitHub repository
12/1/2017
- look at the metadata (JSON) of experimental curves
11/17/2017
- Friday meeting
11/10/2017
- Friday meeting
11/7/2017
- Attended Faculty Fellows reception at NCSA
10/11/2017
- introductory meeting with Andre Schleife in MatSE