1 citations · 1 across the 4 of their papers we have counts for
4 papers
A Machine Learning Model for Predicting Progressive Crack Extension based on DCPD Fatigue Data
Jacob Keesler-Evans, Ansan Pokharel, Robert Tempke +1
Time history data collected from a Direct Current Potential Drop (DCPD) fatigue experiment at a range of temperatures was used to train a Bidirectional Long-Short Term Memory Neura…
Machine Learning Approach for Transforming Scattering Parameters to Complex Permittivity
Robert Tempke, Liam Thomas, Christina Wildfire +2
This study investigates the application of an artificial neural network to predict the complex dielectric properties of granular catalysts commonly used in microwave reaction chemi…
GHz Dielectric Measurement of Powdery TiO
Robert Tempke, Christina Wildfire, Dushyant Shekhawat +1
This study experimentally determines the dielectric properties of a powdery titanium (II) oxide (TiO) material within the microwave range (0.1-13.5 GHz). The properties were determ…
Dielectric Measurement of Powdery Materials using a Coaxial Transmission Line
Robert Tempke, Christina Wildfire, Dushyant Shekhawat +1
The following study investigates the use of a coaxial transmission line for determining the properties of powdery dielectric materials (1-10GHz). Four powdery materials with dielec…