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Spartan (chemistry software)

Spartan (chemistry 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 Spartan (chemistry software) rather than just read about it. In short: Spartan is a molecular modelling and computational chemistry application from Wavefunction. It contains code for molecular mechanics, semi-empirical methods, ab initio models, density functional models, post-Hartree–Fock models, thermochemical recipes including G3(MP2) and T1, and machine learning models like corrected MMFF and Est.

Spartan (chemistry software) — main illustration
Spartan (chemistry software) — illustration

Key takeaways

  • Spartan (chemistry 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 Spartan (chemistry software) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Spartan (chemistry software) from memory before moving on to harder problems.

Reference excerpt

Spartan is a molecular modelling and computational chemistry application from Wavefunction. It contains code for molecular mechanics, semi-empirical methods, ab initio models, density functional models, post-Hartree–Fock models, thermochemical recipes including G3(MP2) and T1, and machine learning models like corrected MMFF and Est. Density Functional. Quantum chemistry calculations in Spartan are powered by Q-Chem. Primary functions are to supply information about structures, relative stabilities and other properties of isolated molecules. Molecular mechanics calculations on complex molecules are common in the chemical community. Quantum chemical calculations, including Hartree–Fock method molecular orbital calculations, but especially calculations that include electronic correlation, are more time-consuming in comparison. Quantum chemical calculations are also called upon to furnish information about mechanisms and product distributions of chemical reactions, either directly by calculations on transition states, or based on Hammond's postulate, by modeling the steric and electronic demands of the reactants. Quantitative calculations, leading directly to information about the geometries of transition states, and about reaction mechanisms in general, are increasingly common, while qualitative models are still needed for systems that are too large to be subjected to more rigorous treatments. Quantum chemical calculations can supply information to complement existing experimental data or replace it altogether, for example, atomic charges for quantitative structure-activity relationship (QSAR) analyses, and intermolecular potentials for molecular mechanics and molecular dynamics calculations. Spartan applies computational chemistry methods (theoretical models) to many standard tasks that provide calculated data applicable to the determination of molecular shape conformation, structure (equilibrium and transition state geometry), NMR, IR, Raman, and UV-visible spectra, molecular (and atomic) properties, reactivity, and selectivity.

Computational abilities This software provides the molecular mechanics, Merck Molecular Force Field (MMFF), (for validation test suite), MMFF with extensions, and SYBYL, force fields calculation, Semi-empirical calculations, MNDO/MNDO(D), Austin Model 1 (AM1), PM3, Recife Model 1 (RM1) PM6.

Hartree–Fock, self-consistent field (SCF) methods, available with implicit solvent (SM8). Restricted, unrestricted, and restricted open-shell Hartree–Fock Density functional theory (DFT) methods, available with implicit solvent (SM8). Standard functionals: BP, BLYP, B3LYP, EDF1, EDF2, M06, ωB97X-D

Exchange functionals: HF, Slater-Dirac, Becke88, Gill96, GG99, B(EDF1), PW91 Correlation functionals: VWN, LYP, PW91, P86, PZ81, PBE. Combination or hybrid functionals: B3PW91, B3LYP, B3LYP5, EDF1, EDF2, BMK Truhlar group functionals: M05, M05-2X, M06, M06-L M06-2X, M06-HF Head-Gordon group functionals: ωB97, ωB97X, ωB97X-D Coupled cluster methods. CCSD, CCSD(T), CCSD(2), OD, OD(T), OD(2), QCCD, VOD, VOD(2), VQCCD Møller–Plesset methods. MP2, MP3, MP4, RI-MP2 Excited state methods. Time-dependent density functional theory (TDDFT) Configuration interaction: CIS, CIS(D), QCIS(D), quadratic configuration interaction (QCISD(T)), RI-CIS(D) Quantum chemistry composite methods, thermochemical recipes. T1, G2, G3, G3(MP2)

Tasks performed Available computational models provide molecular, thermodynamic, QSAR, atomic, graphical, and spectral properties. A calculation dialogue provides access to the following computational tasks:

Energy – For a given geometry, provides energy and associated properties of a molecule or system. If quantum chemical models are employed, the wave function is calculated. Equilibrium molecular geometry - Locates the nearest local minimum and provides energy and associated properties. Transition state geometry - Locates the nearest first-order saddle point (a maximum in a single dimension and minima in all others) and provides energy and associated properties. Equilibrium conformer – Locates lowest-energy conformation. Often performed before calculating structure using a quantum chemical model. Conformer distribution – Obtains a selection of low-energy conformers. Commonly used to identify the shapes a specific molecule is likely to adopt and to determine a Boltzmann distribution for calculating average molecular properties. Conformer library – Locates lowest-energy conformer and associates this with a set of conformers spanning all shapes accessible to the molecule without regard to energy. Used to build libraries for similarity analysis. Energy profile – Steps a molecule or system through a user defined coordinate set, providing equilibrium geometries for each step (subject to user-specified constraints). Similarity analysis – quantifies the likeness of molecules (and optionally their conformers) based on either structure or chemical function (Hydrogen bond acceptors–donors, positive–negative ionizables, hydrophobes, aromatics). Quantifies likeness of a molecule (and optionally its conformers) to a pharmacophore.

Graphical user interface The software contains an integrated graphical user interface. Touch screen operations are supported for Windows 7 and 8 devices. Construction of molecules in 3D is facilitated with molecule builders (included are organic, inorganic, peptide, nucleotide, and substituent builders). 2D construction is supported for organic molecules with a 2D sketch palette. The Windows version interface can access ChemDraw; which versions 9.0 or later may also be used for molecule building in 2D. A calculations dialogue is used for specification of task and computational method. Data from calculations are displayed in dialogues, or as text output. Additional data analysis, including linear regression, is possible from an internal spreadsheet.

Graphical models

Graphical models, especially molecular orbitals, electron density, and electrostatic potential maps, are a routine means of molecular visualization in chemistry education.

… excerpt ends here. Continue reading the full article.

Illustrations

Spartan (chemistry software) illustration
Spartan (chemistry software): The calculated T1[7] heat of formation (y axis) relative to the experimental heat of formation (x axis) for a set of >1800 diverse organic molecules from the NIST thermochemical database[33] with mean absolute and RMS errors of 8.5 and 11.5 kJ/mol, respectively.
The calculated T1[7] heat of formation (y axis) relative to the experimental heat of formation (x axis) for a set of >1800 diverse organic molecules from the NIST thermochemical database[33] with mean absolute and RMS errors of 8.5 and 11.5 kJ/mol, respectively.
Spartan (chemistry software): A cut-away view of the electrostatic potential map of fullerene (C60), the blue area inside the molecule is an area of positive charge (relative to the superstructure, providing a pictorial explanation for fullerene's ability to encapsulate negatively charged species).
A cut-away view of the electrostatic potential map of fullerene (C60), the blue area inside the molecule is an area of positive charge (relative to the superstructure, providing a pictorial explanation for fullerene's ability to encapsulate negatively charged species).
Spartan (chemistry software): The calculated (DFT/EDF2/6-31G*) IR spectra (red), scaled and optimized to the experimental FT-IR spectra (blue) of phenyl 9-acridinecarboxylate (below).
The calculated (DFT/EDF2/6-31G*) IR spectra (red), scaled and optimized to the experimental FT-IR spectra (blue) of phenyl 9-acridinecarboxylate (below).
Spartan (chemistry software) illustration

Worked examples

Example 1 — a first encounter with Spartan (chemistry software)

Start with the simplest possible case. Write down what Spartan (chemistry 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 Spartan (chemistry 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 Spartan (chemistry 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 Spartan (chemistry software)

In research
Spartan (chemistry 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 Spartan (chemistry 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
Spartan (chemistry software) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational chemistry software, Electronic structure methods, Molecular modelling software, so understanding it makes those chapters shorter.
In everyday life
Look for Spartan (chemistry 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 Spartan (chemistry software) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Spartan (chemistry 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 Spartan (chemistry software) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Spartan (chemistry software) in simple terms?

Spartan is a molecular modelling and computational chemistry application from Wavefunction. It contains code for molecular mechanics, semi-empirical methods, ab initio models, density functional models, post-Hartree–Fock models, thermochemical recipes including G3(MP2) and T1, and machine learning…

Why does Spartan (chemistry 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 Spartan (chemistry 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 Spartan (chemistry software).

Tags

  • Computational chemistry software
  • Electronic structure methods
  • Molecular modelling software
  • Monte Carlo molecular modelling software

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