MDS-Rely Center 2023 Fall Meeting
SPEAKERS
Director of operations of the Materials for Opto/electronics Research and Education Center at CWRU
RELEVANT LINKS
CALENDAR
PROJECT PROPOSALS
- Predictive Framework to Indicate the Age of Plastics for Proper Recycling – CWRU; Metin Karayilan, Divita Mathur, Sanmukh Kuppannagari
- Machine Learning Methods for Optimizing and Innovating Structural Color Paints and Coatings – Pitt; Paul W. Leu, Oliver Hinder, and Jungtaek Kim
- Advancing Printed Electronics with Novel Gold and Nickel Ink Formulations for Improved Reliability – Pitt; Paul Leu
- Upscaling Particulate Simulations via Machine Learning in the Loop – CWRU; Sanmukh Kuppannagari, Abhinendra Singh
- Enhancing Degradation Analysis and Failure Prediction through Modern Machine Learning Techniques – Pitt; Satish Iyengar
- Data-driven Analysis of Hydrogen-Degraded, Additive Manufactured Zircaloy – Pitt; Markus Chmielus, Zachary Harris
- Continuous Coating and Surface Modification Method by Laser Additive Manufacturing – CWRU; Hyeji Im
PRESENTATIONS
- Comparative Analysis of Machine Learning Techniques in Predicting Structure Property Relationships for Composite Dielectric Materials
Antonia Sikon, Profs. Alp Sehirlioglu, Ina Martin -
Effects of Aerosol Jet Printing Parameters on the Lifetime Performance of Additively-Manufactured Flexible Circuits
Mitchell Melander, Prof. Janet Gbur -
Non-Invasive Detection of Defects during Coatings Manufacturing,
Prof. Chris Wirth -
netSEM Modeling for Service Life Prediction of Polymers
Hein Htet Aung, Prof. Laura Bruckman -
Achieving Reliable Laser Powder Bed Fusion based Additive Manufacturing via Machine Learning of in-situ Optical Profilometry Monitoring Data
Haolin Zhang, Prof. Xiayun Zhao -
Machine Learning of Printed Metal Films for EMI Shielding
Mingxuan Li, Profs. Paul Leu, Roger French, Satish Iyengar -
Global Optimization of Black Box Functions by Bayesian Learning and Continuous Variable Discretization
Dr. Jungtaek Kim, Profs. Oliver Hinder, Paul Leu
