San Jose, CA, United States of America

Gowri Nayar

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Gowri Nayar: Innovator in Computational Systems

Introduction

Gowri Nayar is a prominent inventor based in San Jose, CA. She has made significant contributions to the field of computational systems, particularly in the representation of polymeric materials. Her innovative work has led to the development of a unique computational system that enhances the modeling and simulation of materials.

Latest Patents

Gowri Nayar holds a patent for "Material representation in computational systems." This patent describes a computational system, which may be an artificial intelligence (AI) system, that allows for the electronic representation, modeling, generation, rendering, simulating, and querying of polymeric materials. The system encodes architectural features as nodes and embeds a directed graph of the polymeric materials within a database system. The embedding of chemical data from multiple nodes within the directed graph data structure enables a scalable data model for containing materials data within computational systems. This innovative approach may be used for predictive modeling of new polymeric materials and for rendering and/or simulating stochastic polymeric ensembles. She has 1 patent to her name.

Career Highlights

Gowri Nayar is currently employed at IBM, where she continues to push the boundaries of technology and innovation. Her work at IBM has allowed her to collaborate with other talented professionals in the field.

Collaborations

Some of her notable coworkers include Nathaniel H Park and Dmitry Zubarev, who contribute to the collaborative environment that fosters innovation at IBM.

Conclusion

Gowri Nayar is a trailblazer in the field of computational systems, with her patent showcasing her expertise in polymeric materials. Her contributions are paving the way for advancements in predictive modeling and material representation.

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