Reliability Prediction and Diagnosis of Next-Generation Photovoltaics Using Sparse Datasets and Semi-Supervised Machine Learning

When and Where

Dec 3, 2019
4:45pm - 5:00pm

Hynes, Level 2, Room 208

Presenter(s)

Felipe Oviedo

Hansong Xue

Jose Perea

Thomas Heumüller

Zekun Ren

Zhe Liu

Shijing Sun

John Fisher

Christoph Brabec

Tonio Buonassisi

Co-Author(s)

Felipe Oviedo¹,Hansong Xue²,Jose Perea^1,3,Thomas Heumüller³,Zekun Ren²,Zhe Liu¹,Shijing Sun¹,John Fisher¹,Christoph Brabec³,Tonio Buonassisi¹

Massachusetts Institute of Technology¹,Solar Energy Research Institute of Singapore (SERIS)²,Institute of Materials for Electronics and Energy Technology (i-MEET), Friedrich-Alexander University Erlangen-Nürnberg³

Keywords

organic

Symposium Organizers

Kedar Hippalgaonkar, Institute of Materials Research and Engineering

Tonio Buonassisi, Massachusetts Institute of Technology

Kristin Persson, Lawrence Berkeley National Laboratory

Edward Sargent, University of Toronto

Symposium Support

Bronze
Matter & Patterns | Cell Press

Session Chairs

Mary Scott