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Spinach (software)

Spinach (software) is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Spinach (software) rather than just read about it. In short: Spinach is an open-source software package for numerical simulation of time-domain spin dynamics in magnetic resonance. It is written in MATLAB and is used for simulations in nuclear magnetic resonance (NMR), electron paramagnetic resonance (EPR), magnetic resonance imaging (MRI), dynamic nuclear polarization (DNP), magic angle spinning (MAS), spin chemistry, and quantum optimal control.

Spinach (software) — main illustration
Spinach (software) — illustration

Key takeaways

  • Spinach (software) belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Spinach (software) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Spinach (software) from memory before moving on to harder problems.

Reference excerpt

Spinach is an open-source software package for numerical simulation of time-domain spin dynamics in magnetic resonance. It is written in MATLAB and is used for simulations in nuclear magnetic resonance (NMR), electron paramagnetic resonance (EPR), magnetic resonance imaging (MRI), dynamic nuclear polarization (DNP), magic angle spinning (MAS), spin chemistry, and quantum optimal control. The package was introduced in 2011 in the Journal of Magnetic Resonance as a library for simulating spin dynamics in large spin systems. Subsequent publications describe its use for large-scale magnetic resonance simulations, including reduced state-space calculations, Fokker-Planck treatment of spatial dynamics, quantum mechanical MRI simulation, and optimal control calculations. The source code is maintained in a public GitHub repository and distributed under the MIT License. The name of the package whimsically refers to the physical concept of spin and to Popeye the Sailor who, in the eponymous comic books, becomes stronger after consuming spinach.

History Spinach was developed for simulations in which the conventional direct product Hilbert space description of multi-spin systems becomes intractable due to the exponential complexity scaling. The 2011 paper describes a library that uses reduced Liouville space basis sets and sparse matrix methods to simulate liquid-state NMR experiments for systems with more than forty spins on a desktop workstation. Subsequent development added modules for spatial dynamics, MRI, tensor trains, and optimal control. A 2016 article described Fokker-Planck formalism implementation in Spinach, in which spatial dynamics (sample spinning, diffusion, and flow) can coexist with spin dynamics. A 2019 Science Advances paper reported quantum-mechanical MRI simulations of coupled spin systems with three-dimensional diffusion, flow, chemical kinetics, and relaxation.

Computational approach

Spinach implements magnetic resonance spectroscopy and imaging simulations by solving the equation of motion for the density matrix ρ ( t ) {\displaystyle \mathbf {\rho } \left(t\right)} in the time domain:

where the Liouvillian superoperator L ( t ) {\displaystyle \mathbf {L} \left(t\right)} is a sum of the Hamiltonian commutation superoperator H ( t ) {\displaystyle \mathbf {H} \left(t\right)} , relaxation superoperator R {\displaystyle \mathbf {R} } , kinetics superoperator K {\displaystyle \mathbf {K} } , and potentially other terms that govern spatial dynamics and coupling to other degrees of freedom:

Computational efficiency is achieved through the use of reduced state spaces, sparse matrix arithmetic, on-the-fly trajectory analysis, and dynamic parallelization.

Functionality As of 2026, Spinach is cited in over 600 academic publications. According to the documentation and academic papers citing its features, the most recent version 2.12 of the package performs:

Time-domain nuclear magnetic resonance (NMR) simulations of: Standard NMR experiments (DEPT, COSY, NOESY, HSQC, TOCSY, etc.). Protein and nucleic acid NMR experiments (HNCA, HNCOCA, HNCO, etc.). Magic angle spinning NMR experiments (CP-MAS, MQMAS, WISE, etc.). Experiments involving residual dipolar coupling and other residual order effects. Zero- and ultra-low field experiments, including Earth's field NMR. Nuclear quadrupole resonance, including overtone NMR. Time-domain magnetic resonance imaging (MRI) simulations, including: Standard and user-specified imaging sequences. Diffusion coefficient and diffusion tensor imaging. Three-dimensional point-resolved NMR spectroscopy. Ultrafast spatially encoded NMR spectroscopy. Time-domain electron spin resonance (ESR) simulations of: Standard pulsed ESR experiments (HYSCORE, ENDOR, ESEEM, etc.). Pulsed dipolar spectroscopy (DEER, RIDME, etc.). Dynamic nuclear polarization for static and spinning samples. Spinach contains an implementation the gradient ascent pulse engineering (GRAPE) algorithm for quantum optimal control. The documentation and the book describing the optimal control module of the package list the following features:

L-BFGS quasi-Newton and Newton-Raphson GRAPE optimizers. Spin system trajectory analysis by coherence and correlation order. Spectrogram analysis of the pulse waveform. Prefixes, suffixes, keyholes, and freeze masks. Stroboscopic steady states and steady orbits as control targets. Optimization of cooperative pulses and phase cycles. Waveform penalty functionals and instrument response. Dissipative background evolution generators and control operators are supported, as well as ensemble control over distributions in common instrument calibration parameters, such as control channel power and offset. Common models of spin relaxation (Redfield theory, stochastic Liouville equation, Lindblad theory) and chemical kinetics are supported, and a library of powder averaging grids is included with the package.

See also Magnetic resonance Nuclear magnetic resonance spectroscopy Electron paramagnetic resonance Quantum optimal control List of quantum chemistry and solid-state physics software

References

External links Official website Spinach source repository at GitHub Spinach Documentation Wiki

Illustrations

Spinach (software) illustration
Spinach (software): 250 MHz ECOSY NMR spectrum of strychnine alkaloid simulated using Spinach.
250 MHz ECOSY NMR spectrum of strychnine alkaloid simulated using Spinach.

Worked examples

Example 1 — a first encounter with Spinach (software)

Start with the simplest possible case. Write down what Spinach (software) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Spinach (software) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Spinach (software) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Spinach (software)

In research
Spinach (software) appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Spinach (software) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Spinach (software) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational chemistry software, Physics software, so understanding it makes those chapters shorter.
In everyday life
Look for Spinach (software) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Spinach (software) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Spinach (software) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Spinach (software) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Spinach (software) in simple terms?

Spinach is an open-source software package for numerical simulation of time-domain spin dynamics in magnetic resonance. It is written in MATLAB and is used for simulations in nuclear magnetic resonance (NMR), electron paramagnetic resonance (EPR), magnetic resonance imaging (MRI), dynamic nuclear p…

Why does Spinach (software) matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Spinach (software)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Spinach (software).

Tags

  • Computational chemistry software
  • Physics software

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