Brochure ADF Modeling Suite 2016
0 likes467 views
The ADF Modeling Suite is a fully integrated software package for computational chemistry developed by Software for Chemistry & Materials. It contains modules for molecular and periodic DFT (ADF and BAND), semi-empirical methods (DFTB and MOPAC), reactive molecular dynamics (ReaxFF), and fluid thermodynamics (COSMO-RS). The suite has an excellent graphical user interface that makes setup and analysis easy across different calculation types on Windows, Mac, and Linux. It is used widely in academia and industry for research in areas like inorganic chemistry, materials science, pharma, and nanoscience.
Brochure ADF Modeling Suite 2016
- 1. 1 ADF Modeling Suite Making computational chemistry work for you
- 2. 2 Table of contents ADF Modeling Suite Fully integrated graphical interface ADF: molecular DFT BAND: periodic DFT DFTB, MOPAC: semi-empirical ReaxFF: reactive MD COSMO-RS: fluid thermodynamics Application areas 3 5 6 7 8 9 10 11
- 3. 3 ADF Modeling Suite We aim to make computational chemistry work for you. In collaboration with our partners we develop powerful tools ranging from DFT to fluid thermodynamics. The whole suite installs from a single file and the integrated graphical interface makes it easy to switch between molecules and periodic systems as well as from DFT to DFTB and ReaxFF. With parameterization and scripting tools, you can easily tailor our software to your needs. Strong points: • use latest tools due to continuous development • easy to use with one graphical interface for all modules • get supported by the experts developing the code • faster results with optimized binaries on common hardware People behind the software ADF originated in the 1970s from the theoretical chemistry group at the VU University in Amsterdam, resulting in the spin-off company Scientific Computing & Modelling in 1995. SCM, currently known as Software for Chemistry & Materials, has been steadily growing since then, with a team of about 15 passionate scientists. We maintain many collaborations and are proud to support our customers in academia, government and industry across the globe. Our authors: www.scm.com/collaborations/our-authors/ Current EU projects: www.scm.com/collaborations/eu-projects/
- 4. 4 Making computational chemistry work for you Academic development Ongoing academic collaborations empower scientists with the latest computational chemistry tools Expert support team Excellent technical support directly from our developers with decades of experience - also during your trial Excellent GUI Setting up, submitting and analyzing jobs is easy with the integrated graphical interface, running on Windows, Mac, and Linux Parallel binaries ADF runs in parallel out of the box on common hardware and can also be used in the cloud
- 5. 5 Fully integrated graphical interface The integrated graphical interface (GUI) works with all our codes on Mac, Windows and Linux, which makes it easy to set up and visualize different job types. The installation of the GUI and all computational engines is hassle-free from a single file. Build • import cif, xyz, smiles • large database of structures, complex mixtures with Packmol • slice surfaces, create supercells • easy toggling between clusters and periodic systems Run • Windows, Mac, Linux • cross-platform compatible, remote queues • chained jobs, scripting, workflows Analyze • quick visualization of MOs, densities, properties • orbital level diagrams • (partial) DOS, band structures, many spectra • movies of vibrations, optimization, MD trajectories
- 6. 6 ADF: molecular DFT Our flagship program Amsterdam Density Functional (ADF) has a 40-year track record in handling the most difficult problems in chemistry and materials science. ADF is accurate, fast, and robust software to study chemical reactivity, intricate bonding and spectroscopic properties from simple to exotic compounds. Strong points: • accurate and efficient treatment of relativistic effects • many spectroscopic properties from NMR to X-Ray • insight in chemical bonding with detailed analysis • advanced methods for including environment effects Selected features: • phosphorescence lifetimes with spin-orbit coupling TDDFT • charge mobilities with transfer integrals and NEGF • modern functionals, including meta-GGAs, long-range corrected hybrids, dispersion corrections • Slater orbitals describe core electronic properties better (NMR, EPR) • easy scripting for advanced jobs, workflows and high-throughput Intramolecular 6-electron photo-redox reactions, Ang ew. Chem. Int. Ed. 54, 2072 (2015)
- 7. 7 BAND: periodic DFT Our periodic DFT code BAND is a perfect companion to ADF, with the same basis sets and relativistic treatment. BAND is also strong in (core) electronic properties and analyzing orbitals and chemical bonds. It is particularly fast for low-dimensional and empty systems. Strong points: • easy to compare cluster and periodic with same basis sets • spectroscopic properties, including core electrons (NMR, EPR, NEXAFS) • real 1D and 2D: no artificial repetition in 3D • all-electron basis sets for all elements: no pseudopotential approximation • self-consistent spin-orbit coupling Selected features: • continuum solvation: COSMO, SM12 • homogeneous electric fields • analysis tools: orbitals, pEDA, (p)DOS, QT-AIM, COOP, ELF • modern functionals, including meta-GGAs, range-separated hybrids, dispersion corrections Closing the band gap in 2D semiconductors, Phys. Chem. Chem. Phys. 16, 11251-11255 (2014).
- 8. 8 DFTB, MOPAC: semi-empirical Our density-functional based tight binding (DFTB) and MOPAC are both fast codes which 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. Strong points: • quick pre-optimization, fast screening, and scriptable workflows • molecules as well as proper 1D, 2D, and 3D periodicity • most elements available for electronic DFTB and MOPAC • easy incorporation in multi-layer models Selected DFTB features: • parameters: DFTB.org, Quasinano 2013 & 2015, dispersion corrections • spectroscopy: IR, phonons, UV/VIS, Franck-Condon factors • quantum transport with NEGF • molecular dynamics • orbital visualization Logical junction from 2D PbS2 only, Adv. Mater. 2016, 10.1002/adma.201504274
- 9. 9 ReaxFF: reactive MD Study chemical reactions and molecular dynamics in large, complex systems with ReaxFF. We continue to improve usability and functionality in collaboration with Prof. van Duin and other partners. ReaxFF is applied in all areas of chemistry and materials science, most notably combustion, batteries, glasses, polymers, biochemistry, and catalysis. Strong points: • easy building and set up of complex simulations • analyze and visualize changing composition on the fly • automated reaction path detection • many force fields included, (re)parameterize with MCFF optimizer Selected ReaxFF features: • optimization, non-reactive MD, reactive MD • specify different T, V, and E regimes • grand-canonical Monte Carlo: reactivity under equilibrium conditions • force-biased Monte Carlo: accelerated reactive MD • ACKS2: correct long-range charge behavior (batteries, enzymes) Oriented attachment of TiO2 nanocrystals, Nano Lett. 14, 1836-1842 (2014)
- 10. 10 COSMO-RS: fluid thermodynamics 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 parameterization set, as opposed to empirical models (e.g. UNIFAC). Strong points: • predict many properties instantaneously (solubilities, logP, vapor-liquid equilibrium, ...) • improved solvation energies and pKa values compared to COSMO • quick screening with easy preparation and reporting scripts • database of 1892 molecules, easy to expand with fixed ADF recipe • ionic liquid database Selected features: • COSMO-SAC and COSMO-RS models • support for MOPAC • import and export sigma profiles • visualize sigma profiles and many properties • improve predictions by adding pure compound data COSMO-SAC: improved thermodynamic properties, Ind. Eng. Chem. Res., 53, 8265–8278 (2014).
- 11. 11 Application areas Inorganic chemistry Pharma Organic electronics Oil & gas Materials science Spectroscopy Nanoscience Heavy elements Ac 89 We are happy to discuss your research challenges. Contact us at info@scm.com. Whether you are an academic scrutinizing molecular properties, an industrial researcher designing the next generation material, or an enthusiastic computational chemistry teacher, we have the tools for you. The ADF Modeling Suite is used by scientists in many different fields, in particular: TeachingAcademic research Industrial research
- 12. 12 Software for Chemistry & Materials Amsterdam, The Netherlands www.scm.com info@scm.com Contact our resellers for a brochure and support in Japanese (www.rsi.co.jp) or Chinese (www.fermitech.com.cn) 30-day evaluation: www.scm.com/free-trial Academic development Expert support teamExcellent GUI Parallel binaries Making computational chemistry work for you