Albuquerque, NM, United States of America

Algis Urbaitis


Average Co-Inventor Count = 6.9

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2013-2017

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2 patents (USPTO):Explore Patents

Title: Algis Urbaitis: Innovator in Material Classification

Introduction

Algis Urbaitis is a notable inventor based in Albuquerque, NM (US). He has made significant contributions to the field of material classification through his innovative patents. With a total of 2 patents, Urbaitis has focused on advancing methods for identifying substances with greater accuracy.

Latest Patents

Urbaitis's latest patents include groundbreaking methods for classifying materials using nuclear magnetic resonance dispersion and x-ray absorption. These methods provide a classification parameter set that allows for the identification of substances that were previously unidentifiable or enhances the confidence in identifying known materials. The classification parameters may include relative nuclear susceptibility (RNS) and x-ray linear attenuation coefficient (LAC). RNS measures the density of hydrogen nuclei in a substance compared to that in water. Additionally, his patent on ultra-low field nuclear magnetic resonance and magnetic resonance imaging outlines a method for discriminating and identifying materials by analyzing NMR measurements obtained from samples.

Career Highlights

Throughout his career, Urbaitis has worked with prominent organizations such as Los Alamos National Security, LLC and the U.S. Department of Energy. His work in these institutions has allowed him to develop and refine his innovative techniques in material classification.

Collaborations

Urbaitis has collaborated with notable colleagues, including Andrei Nikolaevich Matlashov and Michelle A. Espy. These collaborations have contributed to the advancement of his research and the development of his patents.

Conclusion

Algis Urbaitis is a distinguished inventor whose work in material classification has paved the way for new identification methods. His contributions to the field are significant and continue to influence research and development in material science.

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