Developing the Science Basis for Understanding Polymer Encapsulant Degradation Mechanisms: A Scale-Bridging Computational Framework
DuraMAT performs encapsulant aging studies to identify degradation products.
DuraMAT provides a suite of easily accessible capabilities to facilitate applied research and development. Equally important, we understand the technical issues that you need to address and can help you develop a team using these capabilities to come up with solutions. We integrate the following core objectives into our research strategy.
DuraMAT performs encapsulant aging studies to identify degradation products.
DuraMAT assesses glass resilience of large-format photovoltaic modules.
DuraMAT explores electromagnetic acoustic transducer technology for inspecting fasteners.
This DuraMAT applies modeling using raytracing to describe the module back side ultraviolet exposure.
DuraMAT addresses simultaneous-but-distinct degradation pathways from ultraviolet radiation in photovoltaic modules.
DuraMAT will develop machine learning tools for decompositional analysis of photovoltaic images.
DuraMAT is using femtosecond laser processing and high-throughput analysis to determine anti-reflectance and self-cleaning of solar panel glass.
DuraMAT aims to study the effect of cracked solar cells on the long-term performance of fielded photovoltaic modules.
DuraMAT will proactively perform early benchmarking of recent photovoltaic module technology trends.
DuraMAT seeks to understand how solar cell cracks lead to power loss in modern photovoltaic modules.