This inventor holds 1 USPTO granted patent. Top assignees: Hyundai Motor Company, Kia Corporation, Yonsei University. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2025
Title: Seunghyo Noh: Innovator in Ternary Catalyst Design
Introduction
Seunghyo Noh is a prominent inventor based in Gyeonggi-do, South Korea. He has made significant contributions to the field of catalysis, particularly in the design of ternary catalysts for oxygen reduction reactions. His innovative approach utilizes machine learning techniques to enhance the efficiency and effectiveness of these catalysts.
Latest Patents
Seunghyo Noh holds a patent titled "Method for designing ternary catalyst using machine learning." This patent discloses a method for manufacturing a ternary catalyst specifically for oxygen reduction reactions. The process involves constructing a database that includes the catalytic activity of oxygen reduction reaction (ORR) of PtFeCu nanoparticles using a machine-learning-based neural network potential (NNP). Additionally, it determines thermodynamically stable PtFeCu nanoparticles through Monte Carlo calculations and selects the type of PtFeCu nanoparticles by analyzing their structure. He has 1 patent to his name.
Career Highlights
Throughout his career, Seunghyo Noh has worked with notable companies such as Hyundai Motor Company and Kia Corporation. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in automotive technology and catalysis.
Collaborations
Seunghyo Noh has collaborated with esteemed colleagues, including Hoje Chun and Byungchan Han. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and expertise in the field of catalysis.
Conclusion
Seunghyo Noh is a distinguished inventor whose work in designing ternary catalysts using machine learning has the potential to revolutionize the field of catalysis. His contributions and collaborations highlight the importance of innovation in advancing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile