Milpitas, CA, United States of America

Krishnan Swaminathan Gopalan

This inventor holds 1 USPTO granted patent. Top assignees: Nissan North America, Inc., United States of America as Represented by the Administrator of NASA. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krishnan Swaminathan Gopalan. Retrieved from https://idiyas.com/inventor/krishnan-swaminathan-gopalan

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Krishnan Swaminathan Gopalan: Inventor in Refrigeration Technology

Introduction

Krishnan Swaminathan Gopalan is an inventor based in Milpitas, California. His patent work includes applying machine learning to identify molecules that may be suitable for refrigeration systems. He is associated with 1 patent.

Latest Patents

Gopalan’s patent, “Determining Molecules to Implement in Refrigeration Systems,” describes a system that trains a machine-learning model to predict molecular properties, including temperature of fusion and entropy of fusion. The model learns from a sample of molecules and then predicts properties across a larger set. Based on those predictions, the system identifies candidate molecules and selects a target molecule for use in a refrigeration system.

Career Highlights

The supplied career information lists Nissan North America, Inc. and the United States of America, as represented by the Administrator of NASA, among the organizations with which Gopalan has worked. His patent reflects an intersection of computational methods and refrigeration technology.

Collaborations

Gopalan’s listed coworker is Shigemasa Kuwata. Their collaboration is associated with the patent concerning machine-learning-based selection of molecules for refrigeration systems.

Conclusion

Krishnan Swaminathan Gopalan’s patent applies machine learning to the search for molecules with properties relevant to refrigeration, highlighting a technology-focused contribution to the field.

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]
Loading…