Deepansh Srivastava
Postdoctoral research scientist
Ohio State University
About me
Result-driven research scientist specializes in developing new and improving existing methods in solid-state magnetic resonance for better understanding and characterizing of materials, both amorphous and crystalline, and bio-macromolecules. Recent work focuses on structural elucidation of materials from the 2D NMR spectrum. I am also a passionate developer of high throughput numerical libraries and software for simulating, processing, and analyzing scientific data using a multitude of tools, including statistical learning, linear-inversions, and machine learning. Proficient in C, python, and javascript programming languages, open to others as needed.
Interests
- ssNMR of materials
- Statistical/machine-learning methods to solve and analyse NMR of materials.
- Spectral/Structural analysis of materials.
- Library development for NMR spectral analysis.
Education
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PhD in Chemistry, 2018
Ohio State University
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BS-MS in Chemistry, 2013
IISER Mohali
Projects
mrinversion
Statistical learning-based linear inversion of 2D isotropic/anisotropic NMR correlation spectrum into 3D tensor parameters distribution.
mrsimulator
A fast solid-state NMR spectrum simulation python library for spectral analysis.
Publications
Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra
Many linear inversion problems involving Fredholm integrals of the first kind are frequently encountered in the field of magnetic …
Core Scientific Dataset Model: A lightweight and portable model and file format for multi-dimensional scientific data
The Core Scientific Dataset (CSD) model with JavaScript Object Notation (JSON) serialization is presented as a lightweight, portable, …
Correlating structural distributions in silica glass with two-dimensional $J$-resolved spectroscopy
A two-dimensional (2D) $J$-resolved magic-angle spinning nuclear magnetic resonance (NMR) spectrum of silica glass at $^{29}$Si natural …
Correlating geminal $^2J_\text{Si–O–Si}$ couplings to structure in framework silicates
The dependence of a $^{29}$Si geminal J coupling across the inter-tetrahedral linkage on local structure was examined using …
Synthesis of chabazite/polymer composite membrane for $\text{CO}_2$/$\text{N}_2$ separation
There is considerable interest in using zeolite membranes for gas separations. For CO2 and N2 separation, much research has focused on …
Nuances of multi-quantum excitation in solid state NMR of quadrupolar nuclei
In this article, a simple heuristic approach that is in agreement with the density operator formalism is presented for understanding …
Understanding multi-quantum NMR through secular approximation
With the development of technology and improved understanding of nuclear spin–spin interactions and their behavior in …
Concept of effective Hamiltonians for transitions in multi-level systems
Employing the concept of effective Hamiltonians, an analytical theory is introduced to describe transitions in a multi-level system in …