DebiChem Semi Empirical Calculations packages

CP2K is a program to perform simulations of solid state, liquid, molecular and biological systems. It is especially aimed at massively parallel and linear scaling electronic structure methods and state-of-the-art ab-initio molecular dynamics (AIMD) simulations.

CP2K is optimized for the mixed Gaussian and Plane-Waves (GPW) method based on pseudopotentials, but is able to run all-electron or pure plane-wave/Gaussian calculations as well. Features include:

Ab-initio Electronic Structure Theory Methods using the QUICKSTEP module:

• Density-Functional Theory (DFT) energies and forces
• Hartree-Fock (HF) energies and forces
• Moeller-Plesset 2nd order perturbation theory (MP2) energies and forces
• Random Phase Approximation (RPA) energies
• Gas phase or Periodic boundary conditions (PBC)
• Basis sets include various standard Gaussian-Type Orbitals (GTOs), Pseudo- potential plane-waves (PW), and a mixed Gaussian and (augmented) plane wave approach (GPW/GAPW)
• Norm-conserving, seperable Goedecker-Teter-Hutter (GTH) and non-linear core corrected (NLCC) pseudopotentials, or all-electron calculations
• Local Density Approximation (LDA) XC functionals including SVWN3, SVWN5, PW92 and PADE
• Gradient-corrected (GGA) XC functionals including BLYP, BP86, PW91, PBE and HCTH120 as well as the meta-GGA XC functional TPSS
• Hybrid XC functionals with exact Hartree-Fock Exchange (HFX) including B3LYP, PBE0 and MCY3
• Double-hybrid XC functionals including B2PLYP and B2GPPLYP
• Additional XC functionals via LibXC
• Dispersion corrections via DFT-D2 and DFT-D3 pair-potential models
• Non-local van der Waals corrections for XC functionals including B88-vdW, PBE-vdW and B97X-D
• DFT+U (Hubbard) correction
• Density-Fitting for DFT via Bloechl or Density Derived Atomic Point Charges (DDAPC) charges, for HFX via Auxiliary Density Matrix Methods (ADMM) and for MP2/RPA via Resolution-of-identity (RI)
• Sparse matrix and prescreening techniques for linear-scaling Kohn-Sham (KS) matrix computation
• Orbital Transformation (OT) or Direct Inversion of the iterative subspace (DIIS) self-consistent field (SCF) minimizer
• Local Resolution-of-Identity Projector Augmented Wave method (LRIGPW)
• Absolutely Localized Molecular Orbitals SCF (ALMO-SCF) energies for linear scaling of molecular systems
• Excited states via time-dependent density-functional perturbation theory (TDDFPT)

Ab-initio Molecular Dynamics:

• Born-Oppenheimer Molecular Dynamics (BOMD)
• Ehrenfest Molecular Dynamics (EMD)
• PS extrapolation of initial wavefunction
• Time-reversible Always Stable Predictor-Corrector (ASPC) integrator
• Approximate Car-Parrinello like Langevin Born-Oppenheimer Molecular Dynamics (Second-Generation Car-Parrinello Molecular Dynamics (SGCP))

Mixed quantum-classical (QM/MM) simulations:

• Real-space multigrid approach for the evaluation of the Coulomb interactions between the QM and the MM part
• Linear-scaling electrostatic coupling treating of periodic boundary conditions
• Adaptive QM/MM

Further Features include:

• Single-point energies, geometry optimizations and frequency calculations
• Several nudged-elastic band (NEB) algorithms (B-NEB, IT-NEB, CI-NEB, D-NEB) for minimum energy path (MEP) calculations
• Global optimization of geometries
• Solvation via the Self-Consistent Continuum Solvation (SCCS) model
• Semi-Empirical calculations including the AM1, RM1, PM3, MNDO, MNDO-d, PNNL and PM6 parametrizations, density-functional tight-binding (DFTB) and self-consistent-polarization tight-binding (SCP-TB), with or without periodic boundary conditions
• Classical Molecular Dynamics (MD) simulations in microcanonical ensemble (NVE) or canonical ensmble (NVT) with Nose-Hover and canonical sampling through velocity rescaling (CSVR) thermostats
• Metadynamics including well-tempered Metadynamics for Free Energy calculations
• Classical Force-Field (MM) simulations
• Monte-Carlo (MC) KS-DFT simulations
• Static (e.g. spectra) and dynamical (e.g. diffusion) properties
• ATOM code for pseudopotential generation
• Integrated molecular basis set optimization

CP2K does not implement conventional Car-Parrinello Molecular Dynamics (CPMD).

MolDS は、半経験的電子構造および分子動力学パッケージです。

次の様な機能があります。

• CNDO2, INDO, ZINDO/S, MNDO, AM1, PM3 の半経験的手法
• 一電子励起配置間相互作用 (CIS) による励起状態計算
• AM1 および PM3 への分散力補正（AM1-D および PM3-D）
• PM3 への Pairwise Distance Directed Gaussian (PDDG) 補正 (PM3/PDDG)
• 一点計算、構造最適化、分子動力学法 (MD)、モンテカルロ法 (MC)、 ポリマー分子動力学法 (RPMD) の計算タスクを実行可能

MolDS は現在、H, C, N, O, S の元素のパラメータを同梱しています。

MOPAC is a general-purpose semiempirical molecular orbital package for the study of solid state and molecular structures and reactions.

The semiempirical Hamiltonians MNDO, AM1, PM3, PM6, RM1, MNDO-d and PM7 are used in the electronic part of the calculation to obtain molecular orbitals, the heat of formation and its derivative with respect to molecular geometry.

Using these results MOPAC calculates the vibrational spectra, thermodynamic quantities, isotopic substitution effects and force constants for molecules, radicals, ions, and polymers. For studying chemical reactions, a transition state location routine and two transition state optimizing routines are available. For users to get the most out of the program, they must understand how the program works, how to enter data, how to interpret the results, and what to do when things go wrong.

MOPAC は半経験的なレベルで分子の電子構造を解決するルーチンを提供します。利 用可能なメソッドとしては、MNDO, MINDO/3, AM1 および PM3 が含まれます。

本パッケージには MOPAC7 バイナリが含まれます。

xtb program performs semiempirical quantummechanical calculations. The underlying effective Hamiltonian is derived from density functional tight binding (DFTB). This implementation of the xTB Hamiltonian is currently compatible with the zeroth, first and second level parametrisation for geometries, frequencies and non-covalent interactions (GFN) as well as with the ionisation potential and electron affinity (IPEA) parametrisation of the GFN1 Hamiltonian. The generalized born (GB) model with solvent accessable surface area (SASA) is also available available in this version. Ground state calculations for the simplified Tamm-Danceoff approximation (sTDA) with the vTB model are currently not implemented.