This inventor holds 1 USPTO granted patent. Top assignee: Tel Aviv University. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations of Uri Arieli in Nanostructure Characterization
Introduction
Uri Arieli is an accomplished inventor based in Tel Aviv, Israel. He has made significant contributions to the field of nanotechnology, particularly through his innovative patent that utilizes machine learning for characterizing nanostructures. His work is pivotal in advancing the design and understanding of nanostructures, which have numerous applications in various scientific fields.
Latest Patents
Uri Arieli holds a patent titled "Method and system for characterizing a nanostructure by machine learning." This patent describes a method of designing a nanostructure that involves receiving a far-field optical response and material properties. The process includes feeding the synthetic far-field optical response and material properties to an artificial neural network with at least three hidden layers. Ultimately, the method extracts the shape of a nanostructure that corresponds to the far-field optical response. This innovative approach highlights the intersection of machine learning and nanotechnology.
Career Highlights
Uri Arieli is affiliated with Tel Aviv University, where he engages in research and development in the field of nanotechnology. His academic background and expertise have positioned him as a key figure in advancing the understanding of nanostructures. His work not only contributes to academic knowledge but also has practical implications in various industries.
Collaborations
Uri collaborates with notable colleagues such as Itzik Malkiel and Haim Suchowski. These partnerships enhance the research environment and foster innovation in their respective fields.
Conclusion
Uri Arieli's contributions to nanotechnology through his innovative patent demonstrate the potential of machine learning in scientific research. His work at Tel Aviv University and collaborations with esteemed colleagues further solidify his role as a leading inventor in this domain.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
