Internet of Things (IoT) adoption pushes the boundaries of Printed Circuit Board (PCB) miniaturization and speed employing more hybrid stack-ups. The complexity of PCB stack up designs,material selection,advanced processing,and subsequent assembly requirements are driving novel approaches to accelerate engineered solutions. To support the aggressive PCB product development cycle times,the accuracy of physics-based predictive modeling must improve,and the number of lengthy Design of Experiments (DoE) minimized. To facilitate this,effective material characterization techniques and modeling capabilities of these complex systems have been developed,with the goal to mitigate risk,increase reliability and reduce engineering time while ensuring a manufacturable solution. In general,the stress induced on interconnects increases as the interconnect size decreases. However,to accurately model the physical behavior (stress and strain) of PCB interconnects in design stack ups during a reflow or lamination processes requires material property information which necessarily is not present on a typical materials’ supplier datasheet. Some parameters are also not readily available using standard measurement techniques. Additionally,typical numbers in a laminate datasheet only apply to a standard glass style and resin content. Glass style and resin content have a dramatic influence on the end product mechanical properties. Also,the composite nature of PCBs not only result in its thermomechanical behavior to differ along the X,Y,and Z directions,but also relax over time due to the viscoelastic nature of the epoxy resin. Therefore,the anisotropic and viscoelastic properties of PCB materials must be measured. The measurement techniques discussed here are not part of any formal IPC testing protocol currently. However,they capture properties of PCB materials at the small scale very effectively. They rely on using a Dynamic Mechanical Analyzer (DMA)instrument for measurement purposes. These advancements in material characterization and modeling provide insights into micro-via reliability for next generation PCB miniaturization and high-speed signals.