Welcome to the Mrsimulator documentation¶
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About
mrsimulator
is an open-source python package for fast simulation and analysis of
multi-dimensional solid-state magnetic resonance (NMR) spectra of crystalline and
amorphous materials.
See our example gallery
Why use mrsimulator?
It is open-source and free.
It is a fast and versatile multi-dimensional solid-state NMR spectra simulator including, MAS and VAS spectra of nuclei experiencing chemical shift (nuclear shielding) and quadrupolar coupling interactions.
It includes simulation of weakly coupled nuclei experiencing J and dipolar couplings.
It is fully documented with a stable and simple API and is easily incorporated into your python scripts and web apps.
It is compatible with modern python packages, such as scikit-learn, Keras, etc.
Packages using mrsimulator -
Features
The mrsimulator
package offers the following
Fast simulation of one/two-dimensional solid-state NMR spectra. See our Performance benchmark results.
- Simulation of coupled and uncoupled spin system
for spin \(I=\frac{1}{2}\), and quadrupole \(I \ge \frac{1}{2}\) nuclei,
at arbitrary macroscopic magnetic flux density,
at arbitrary rotor angles, and
at arbitrary spinning frequency.
- A library of NMR methods,
1D Bloch decay spectrum,
1D Bloch decay central transition spectrum,
2D Multi-quantum Variable Angle Spinning (MQ-VAS),
2D Satellite-transition Variable Angle Spinning (ST-VAS),
2D Dynamic Angle Spinning (DAS),
2D isotropic/anisotropic sideband correlation spectrum (e.g. PASS and MAT),
2D Magic Angle Flipping (MAF).
- Models for tensor parameter distribution in amorphous materials.
Czjzek
Extended Czjzek
Warning
The package is currently under development. We advice using with caution. Bug report are greatly appreciated.
Getting Started¶
Signal Processing (mrsimulator.SignalProcessor
)¶
Examples and Benchmarks¶
API and references¶
Project details¶
Reporting Bugs¶
The preferred location for submitting feature requests and bug reports is the Github issue tracker. Reports are also welcomed by directly contacting Deepansh Srivastava.
Discussions are welcome on Github discussion