Ewa Papajak

Title: Ewa Papajak: Inventor Advancing Machine Learning for Refrigeration

Introduction

Ewa Papajak is an inventor associated with Berkeley, California. Her patent work explores how machine learning can help identify molecules for use in refrigeration systems. She is credited with 1 patent.

Latest Patents

Papajak’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. Using those predictions, the system identifies candidate molecules and selects a target molecule for implementation in a refrigeration system.

Career Highlights

Papajak’s listed company affiliations include Nissan North America, Inc., and the United States of America as Represented by the Administrator of NASA. Her patent reflects an application of computational methods to the search for molecules with properties relevant to refrigeration.

Collaborations

Papajak’s listed coworker is Shigemasa Kuwata. The patent’s subject matter brings together machine learning, molecular-property prediction, and refrigeration-system design.

Conclusion

Ewa Papajak’s patent presents a data-driven approach to selecting molecules for refrigeration systems, illustrating how machine learning can support innovation in technology and materials.