Amsterdam
Modeling Suite
Powerful Computational Chemistry
The
Amsterdam Modeling Suite is an easy to deploy computational chemistry
software, covering a wide range of tools. Besides DFT for molecules
(ADF) & periodic systems (BAND, Quantum ESPRESSO), fast
& approximate electronic structure methods (MOPAC, DFTB), a
reactive force field (ReaxFF), a continuum fluid thermodynamics module
(COSMO-RS), an advanced driver for complex MD and PES tasks (AMS
driver), and a python scripting and workflow tool (PLAMS), it contains
an integrated Graphical User Interface – all easy to install
from a single package.
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ADF
Powerful
DFT software for modeling chemistry
Amsterdam Density Functional (ADF) is particularly strong in
understanding and predicting structure, reactivity, and spectra of
molecules.
ADF is frequently used for studying transition metal complexes and
molecules with heavy atoms, since all elements in the periodic table
can be modeled accurately and efficiently with the ZORA relativistic
approach and Slater Type orbital (STO) all-electron basis sets. With
these features, ADF offers unique capabilities to predict molecular
properties of nanoparticles and organic electronics materials.
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Selected
features
- modern xc
functionals, including dispersion and range-separated hybrids
- self-consistent
spin-orbit coupling TDDFT
- charge transfer
integrals, NEGF
- scrutinize
chemical bonding interactions
- Slater-type
orbitals: correct nuclear cusp (NMR, EPR)
- environments:
DIM/QM, FDE, COSMO, SM12
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BAND
Periodic
DFT for nanofibers, surfaces, and bulk
BAND is a periodic DFT code of the Amsterdam Modeling Suite. Using
atomic orbitals for periodic DFT calculations has many advantages over
plane waves like a proper treatment of surfaces, efficient computations
of sparse matter, and more direct and detailed analysis methods.BAND is
particularly well suited for studying low-dimensional periodic
materials or sparse matter systems, for (core electron) spectroscopic
properties, and/or to access orbital properties and advanced analysis
methods.
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Selected features
- Spectroscopy:
EPR (g & A tensors), EFG, Q-tensor, EELS
- Analysis:
(p)DOS, orbitals, band structures, COOP, QT-AIM, ELF, bonding analysis
- Lattice
optimization, phonons
- Metal dielectric
functions: TD-CDFT polarization functional for optical response
- Latest
functionals, e.g. -D3(BJ), SCAN, MVS, MN15L
- Specialized
band gap functionals: GLLB-sc, TB-mBJ, GGA+U
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COSMO-RS
Fluid thermodynamics from quantum mechanics
The COnductor-like Screening MOdel for Realistic Solvents calculates
thermodynamic properties of fluids and solutions based on quantum
mechanical data. Properties from COSMO-RS have predictive power outside
the parametrization set, as opposed to empirical models (e.g. UNIFAC).
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COSMO-RS
properties
- solubilities,
partition coefficients (log P, log kOW)
- pKa
values
- activity
coefficients, solvation free energies, Henry’s law constants
- vapor pressures,
boiling points, vapor-liquid diagrams binary and ternary mixtures
(VLE/LLE)
- excess energies,
azeotropes, miscibility gaps
- composition
lines, flash points
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DFTB
Fast approximate DFT for molecules, 1D, 2D and 3D
Density-Functional based Tight-Binding (DFTB) allows to perform
calculations of large systems over long timescales even on a desktop
computer. Relatively accurate results are obtained at a fraction of the
cost of DFT by using pre-calculated parameters, a minimal basis and
only nearest-neighbor interactions. Long-range interactions are
described with empirical dispersion corrections and third-order
corrections accurately handle charged systems.
The DFTB module can treat molecular as well as periodic systems (1D for
nanotubes, 2D for surfaces, 3D for bulk), and as such can be used as a
fast pre-optimizer for full molecular and periodic DFT calculations
with ADF and BAND.
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Selected
features
- modern xc
functionals, including dispersion and range-separated hybrids
- self-consistent
spin-orbit coupling TDDFT
- charge transfer
integrals, NEGF
- scrutinize
chemical bonding interactions
- Slater-type
orbitals: correct nuclear cusp (NMR, EPR)
- environments:
DIM/QM, FDE, COSMO, SM12
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ReaxFF
Reactive MD with GUI and analysis tools
ReaxFF is a program for modeling chemical reactions with atomistic
potentials based on the reactive force field approach. In collaboration
with the van Duin group, SCM has parallelized and significantly
optimized the original ReaxFF code. Reactions in complex chemical
mixtures totaling hundreds of thousands of atoms can now be modeled on
a modern desktop computer.
While traditional force fields have difficulties treating certain
elements, such as transition metals, the bond-order based reactive
force field can in principle deal with the whole periodic table. We
include over 80 ReaxFF force field files for many different
combinations of elements. Furthermore, (re)parameterization tools helps
to refine force fields or build new parameter sets. ReaxFF has been
used over the past decade in various studies of complicated reactive
systems, including solvent environments, interfaces, and molecules on
metal (oxide) surfaces.
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Other
ReaxFF
features
- hybrid
parallelization (MPI, openMP)
- geometry
optimization, non-reactive or reactive molecular dynamics
- includes all the
latest ReaxFF force fields
- thermal
conductivity (T-NEMD)
- model reactions
of millions of atoms in a 3D box
- well
parallelized and linear-scaling
-
benchmark input files for ReaxFF (based on the
LAMMPS PETN benchmark)
- ACKS2 charge
equilibration: correct long-range charge behavior (batteries, enzymes)
- eReaxFF:
explicit electrons
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MOPAC
Fast semi-empirical with integrated GUI
MOPAC could bring the quantum precision you need to study large
molecules or periodic systems. A good trade-off between speed and
accuracy is achieved through a minimal basis and parameterization
against experimental data, with parameters available for most elements.
Like DFTB, the semi-empirical MOPAC code uses the nearest neighbor and
minimal basis set approximations, making it fast and linear scaling.
MOPAC has been parameterized against an enormous set of thoroughly
examined experimental data, in a huge, commendable effort by Dr. Jimmy
Stewart. The latest parameterization set (PM7) is also the most
accurate. Since AMS2019, the MOPAC and DFTB modules are now bundled
together and only one license is needed to use both methods.
To accelerate your research, use MOPAC for quick pre-optimization,
prescreening of a large number of molecules or crystals, or to get
results on really large molecules which are out of reach for DFT or ab
initio methods.
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Access large systems
or script workflows
With the integrated Graphical interface it is
easy
to run, set up and analyze MOPAC jobs, or use it as a pre-optimization
tool.
You can fully unlock the strength of MOPAC through the integration to
our powerful AMS driver for complex potential energy surface tasks and
the PLAMS python scripting environment.
Exchanging data and results from MOPAC to other Engines of the
Amsterdam Modeling Suite is easy. You can therefore for example easily
extract a snapshot from a ReaxFF molecular dynamics run and examine its
electronic properties with MOPAC. Likewise, MOPAC coordinates can be
readily transferred to ADF for a more accurate DFT calculation on
desired properties. Quickly set up your own workflows, such as taking
snapshots from advanced MD runs, or quickly (pre)screening many
candidate molecules or materials for specific properties.
With AMS you can also do complex potential energy surface scans,
accelerated MD, Monte Carlo methods and many properties using MOPAC as
an integrated library. |
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