[ssNMR] Deepansh Srivastava | Statistical Learning of NMR tensors

Published: Tuesday, 16 February 2021 - 00:00 UTC

Author: Thorsten Maly

Reminder:

Dear NMR Enthusiast,

The 22nd Global NMR Educational Tutorial will be given by Dr. Deepansh Srivastava, Postdoc in Prof. Philip Grandinetti’s Lab, The Ohio State University, USA, on the topic: “Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra”

Abstract Many linear inversion problems involving Fredholm integrals of the first kind are frequently encountered in the field of magnetic resonance. One important application is the direct inversion of a solid-state NMR spectrum containing multiple overlapping anisotropic sub-spectra to obtain a distribution of the tensor parameters. Because of the ill-conditioned nature of this inverse problem, we investigate the use of the truncated singular value decomposition (TSVD) and smooth least absolute shrinkage and selection operator (S-LASSO) based regularization method, which (a) stabilizes the solution and (b) promotes sparsity and smoothness in the solution. We also propose an unambiguous representation for the anisotropy parameters using a piecewise polar coordinate system to minimize rank deficiency in the inversion kernel. To obtain the optimum tensor parameter distribution, we implement the k-fold cross-validation, a statistical learning method, to determine the hyperparameters of the regularized inverse problem. In this talk, I?ll show the details of the linear-inversion method along with numerous illustrative applications on purely anisotropic NMR spectra, both synthetic as well as experimental two-dimensional spectra correlating the isotropic and anisotropic frequencies.

Speaker’s biography: 2013: BS-MS, IISER Mohali, India
2018: PhD, The Ohio State University (Prof. Philip Grandinetti)
Present: Postdoc, The Ohio State University (Prof. Philip Grandinetti)

Webinar details: Time: Tuesday, February 16, 2021, 11:00 AM Boston ** or 5:00 PM Paris or 9:30 PM Delhi

New Link: https://epfl.zoom.us/j/81308524368

Best regards,
Global NMR Discussion Meetings

Youtube Channel: https://www.youtube.com/c/GlobalNMRDiscussionMeetings/videos

[Organizers:
Adrian Draney (Creighton University Chemistry)
Amrit Venkatesh (Lyndon Emsley Lab, EPFL)
Asif Equbal (Songi Han Lab, UCSB)
Blake Wilson (Robert Tycko Lab, NIH)
Michael Hope (Lyndon Emsley Lab, EPFL)
Mohammad Saba (Malcolm Levitt Lab, UK)
Mouzhe Xie (Maurer Lab, Uni. Chicago)
PinelopiMoutzouri (Lyndon Emsley Lab, EPFL) ]


ssnmr mailing list
ssnmr@mit.edu
http://mailman.mit.edu/mailman/listinfo/ssnmr
https://griffingroup.mit.edu/weekly-ssnmrdnp-zoominar