Publications, Activities, and Awards
- Design of Experiments and Machine Learning-Assisted Organic Solar Cell Efficiency Optimization
- Device Engineering, Mechanism Study, and Machine-Learning-Assisted Efficiency Optimization
- Energy Talk: New Year, New Tech
- GreenSTEM Entrepreneurial Fellowship
- How To Optimize Materials and Devices via Design of Experiments and Machine Learning: Demonstration Using Organic Photovoltaics
- Optimization of Organic Solar Cell Efficiency via Machine Learning and Design of Experiments
- Optimization of organic solar cell processing parameters: Combining machine learning and experimental design
- Optimization of the Bulk Heterojunction of All–Small-Molecule Organic Photovoltaics Using Design of Experiment and Machine Learning Approaches.
- Starting a Startup: Challenges and Successes
- Tailoring Morphology Compatibility and Device Stability by Adding PBDTTPD-COOH as Third Component to Fullerene-Based Polymer Solar Cells
- Tin Alloy Sheets as Negative Electrodes for Non-Aqueous Li and Na-ion Batteries
- Tin Alloy Sheets as Negative Electrodes for Non-Aquesous Li- and Na-ion Batteries
- Understanding the Role of Interfacial Layers in Organic Photovoltaics