Georg Albert Viehöver

Title: Georg Albert Viehöver: Innovator in Computational Lithography

Introduction

Georg Albert Viehöver is a notable inventor based in Höhenkirchen-Siegertsbrunn, Germany. He has made significant contributions to the field of computational lithography, particularly through the integration of machine learning models. His innovative approach has the potential to enhance the efficiency and accuracy of lithographic processes.

Latest Patents

Viehöver holds a patent for a groundbreaking process titled "Large scale computational lithography using machine learning models." This patent describes a computational lithography process that utilizes machine learning models to improve the accuracy of aerial images produced by lithographic masks. The process begins with a two-dimensional model of the lithographic mask, which is used to calculate an initial aerial image. This image is then processed through a machine learning model that infers a second aerial image. The first machine learning model is trained on a dataset that includes aerial images generated from a more precise three-dimensional model. While the two-dimensional model is faster to compute, it lacks accuracy, which the machine learning model effectively mitigates. Viehöver's patent represents a significant advancement in the field, with 1 patent to his name.

Career Highlights

Georg Albert Viehöver is currently employed at Synopsys, Inc., a leading company in electronic design automation. His work at Synopsys focuses on developing innovative solutions that leverage machine learning to enhance lithographic processes. His expertise in computational lithography has positioned him as a key player in the industry.

Collaborations

Throughout his career, Viehöver has collaborated with talented individuals such as Dereje Shewaseged Woldeamanual and Thomas Heribert Mülders. These collaborations have contributed to the advancement of technologies in the field of lithography and machine learning.

Conclusion

Georg Albert Viehöver is a pioneering inventor whose work in computational lithography is shaping the future of the industry. His innovative patent and contributions to Synopsys, Inc. highlight his commitment to advancing technology through the integration of machine learning.