The Journal of Chemical Physics · 2025 · 113 citations · 479 references
Natural SciencesChemistryMaterials ScienceComputational ChemistryQuantum ChemistryTheoretical ChemistryAtomistic ModelingComputational ModelingDensity Functional TheoryMolecular MechanicsMolecular ModelingMolecular SimulationComputational Molecular ModelingHybrid Molecular MechanicsMolecular Mechanics ModelingMolecular Simulation AlgorithmsMulti-scale ModelingQuantum Chemical ModelingQuantum Chemistry SimulationVisual Scripting
In this paper, we present the Amsterdam Modeling Suite (AMS), a comprehensive software platform designed to support advanced molecular and materials simulations across a wide range of chemical and physical systems. AMS integrates cutting-edge quantum chemical methods, including Density Functional Theory (DFT) and time-dependent DFT, with molecular mechanics, fluid thermodynamics, machine learning techniques, and more, to enable multi-scale modeling of complex chemical systems. Its design philosophy allows for seamless coupling between components, facilitating simulations that range from small molecules to complex biomolecular and solid-state systems, making it a versatile tool for tackling interdisciplinary challenges, both in industry and in academia. The suite also emphasizes user accessibility, with an intuitive graphical interface, extensive scripting capabilities, and compatibility with high-performance computing environments.
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Development and testing of a general amber force field
Junmei Wang, Romain M. Wolf, James W. Caldwell et al. · Journal of Computational Chemistry · 2004 · 19.6K citations
Scalable molecular dynamics with NAMD
J. C. Phillips, Rosemary Braun, Wei Wang et al. · Journal of Computational Chemistry · 2005 · 17.4K citations · Full text