Company Filing History:
Years Active: 2022
Title: Thomas D Economon: Innovator in Fluid Flow Prediction
Introduction
Thomas D Economon is a notable inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of computational fluid dynamics through his innovative patent. His work focuses on enhancing the prediction of fluid flow using advanced computational techniques.
Latest Patents
Thomas D Economon holds a patent titled "System and method for combining differentiable partial differential equation solvers and graph neural networks for fluid flow prediction." This computer-implemented method involves several steps, including receiving a coarse mesh input with a first set of nodes and utilizing a computational fluid dynamics solver to obtain a coarse mesh solution. The method further includes receiving a fine mesh input with a second set of nodes, concatenating this input with physical parameters, and processing it through a graph convolution layer to achieve a fine mesh hidden layer. The process culminates in upsampling the coarse mesh solution to match the number of nodes in the fine mesh and outputting a prediction based on this upsample.
Career Highlights
Thomas D Economon is currently employed at Robert Bosch GmbH, where he applies his expertise in fluid dynamics and computational methods. His innovative approach has positioned him as a key figure in his field, contributing to advancements in technology and engineering.
Collaborations
He has collaborated with notable colleagues, including Filipe De Avila Belbute-Peres and Jeremy Zico Kolter, who share a commitment to pushing the boundaries of research and development in their respective areas.
Conclusion
Thomas D Economon exemplifies the spirit of innovation in the realm of fluid flow prediction. His contributions through his patent and work at Robert Bosch GmbH highlight the importance of integrating advanced computational techniques in engineering.