Redmond, WA, United States of America

Hongbin Liu

This inventor holds 2 USPTO granted patents and 5 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hongbin Liu. Retrieved from https://idiyas.com/inventor/hongbin-liu-x4vhnir0

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Innovations by Hongbin Liu in Materials Discovery

Introduction

Hongbin Liu is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of materials discovery through his innovative use of machine learning models. His work is particularly relevant in the context of advancing materials science and technology.

Latest Patents

Hongbin Liu holds a patent for a "Materials information database including machine learning models." This patent describes a method enacted on a computing system that facilitates materials discovery using machine learning. The method involves receiving a query that includes element information and material property information. Based on this query, the system retrieves material data from a materials information database. The data includes structural information for materials that match the query, along with predicted material properties determined by trained machine learning models. The method ultimately outputs the relevant material data, showcasing the potential of machine learning in enhancing materials research.

Career Highlights

Hongbin Liu is associated with Microsoft Technology Licensing, LLC, where he applies his expertise in materials science and machine learning. His innovative approach has positioned him as a key figure in the development of advanced materials databases.

Collaborations

Some of his notable coworkers include Chi Chen and Andrea Cepellotti, who contribute to the collaborative environment that fosters innovation at Microsoft.

Conclusion

Hongbin Liu's work exemplifies the intersection of technology and materials science, highlighting the importance of machine learning in modern research. His contributions are paving the way for future advancements in materials discovery.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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