Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session D53: Machine Learning for Spectroscopy
3:00 PM–5:48 PM,
Monday, March 6, 2023
Room: Room 307
Sponsoring
Unit:
GDS
Chair: Nina Andrejevic, Argonne National Laboratory; Davis Unruh, Argonne National Laboratory
Abstract: D53.00011 : A Modernized View of Coherence Pathways in Magnetic Resonance Spectroscopy*
5:24 PM–5:36 PM
Author not Attending
Presenter:
John M Franck
(Syracuse University)
Author:
John M Franck
(Syracuse University)
However, these techniques only work under idealized circumstances, and, especially in new and challenging situations that explore new physics, a new approach was required. Recently, we demonstrated a technique that can present all the data acquired during a Magnetic Resonance experiment in a meaningful fashion. It draws on modern open-source libraries in order to organize the data into a conveniently accessible multi-dimensional format and to present the resulting complex data using the domain coloring technique. We demonstrate the utility of this technique both for processing and optimizing data, as well as for diagnosing experimental non-idealities, and apply it to NMR and NMR-ESR dual-resonance techniques that our lab is pursuing.
*NSF CHE-2146270
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