@article{10.1063/5.0258496,
    author = {Baerends, Evert Jan and Aguirre, Nestor F. and Austin, Nick D. and Autschbach, Jochen and Bickelhaupt, F. Matthias and Bulo, Rosa and Cappelli, Chiara and van Duin, Adri C. T. and Egidi, Franco and Fonseca Guerra, Célia and Förster, Arno and Franchini, Mirko and Goumans, Theodorus P. M. and Heine, Thomas and Hellström, Matti and Jacob, Christoph R. and Jensen, Lasse and Krykunov, Mykhaylo and van Lenthe, Erik and Michalak, Artur and Mitoraj, Mariusz M. and Neugebauer, Johannes and Nicu, Valentin Paul and Philipsen, Pier and Ramanantoanina, Harry and Rüger, Robert and Schreckenbach, Georg and Stener, Mauro and Swart, Marcel and Thijssen, Jos M. and Trnka, Tomáš and Visscher, Lucas and Yakovlev, Alexei and van Gisbergen, Stan},
    title = {The Amsterdam Modeling Suite},
    journal = {The Journal of Chemical Physics},
    volume = {162},
    number = {16},
    pages = {162501},
    year = {2025},
    month = {04},
    abstract = {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.},
    issn = {0021-9606},
    doi = {10.1063/5.0258496},
    url = {https://doi.org/10.1063/5.0258496},
    eprint = {https://pubs.aip.org/aip/jcp/article-pdf/doi/10.1063/5.0258496/20497318/162501\_1\_5.0258496.pdf},
}