.. _scientific-papers: ================= Scientific Papers ================= The **signac** framework has been cited over 50 times and has been used in a range of research fields with various types of computational workflows. Here, we showcase a few examples of scientific papers that have used **signac**. To find additional papers using **signac**, please refer to citations of the articles mentioned in :ref:`acknowledge` or this list of `citing works on Google Scholar `__. We encourage users to add publications citing **signac** to this list via a pull request. To add a paper, put citation information in `signac.bib `__ and follow the formatting of this page. Papers are sorted by publication date, from newest to oldest. -------- .. bibliography:: :filter: False Janek2025 Tests of the proposed universal integration scheme for molecular dynamics. Multiple systems, integrators and integration steps. Simulations performed using simul++. -------- .. bibliography:: :filter: False Cersonsky2021 Identifies photonic band gaps over a space of 151,593 crystal structures. Simulations performed using MIT Photonic Bands (MPB). -------- .. bibliography:: :filter: False Musil2021 Benchmarking atom-density representations for use in machine learning. Data generated using librascal. -------- .. bibliography:: :filter: False Harper2020 Electromagnetic simulations of silicon cylinders on a SiO\ :sub:`2` substrate are performed using RCWA and managed via **signac**. The resulting data is used in a machine learning model using TensorFlow to predict optical properties. -------- .. bibliography:: :filter: False Howard2019 Simulating fluid flow in polymer solutions as a function of chain length :math:`M`, polymer concentration :math:`\phi_p`, body force :math:`f_x`, and droplet viscosity :math:`\mu_d`. Simulations performed using HOOMD-blue. -------- .. bibliography:: :filter: False Thompson2019 Molecular dynamics simulations of room-temperature ionic liquids spanning 396 state points: 18 compositions by mass fraction and 22 unique solvents from five chemical families (nitriles, alcohols, halocarbons, carbonyls, and glymes). Simulations performed using GROMACS. -------- .. bibliography:: :filter: False Adorf2018 Uses relative entropy minimization in Fourier space to identify isotropic particle interaction potentials that result in self-assembly of various crystal structures. Simulations performed using HOOMD-blue. -------- .. bibliography:: :filter: False Thomas2018 4,480 molecular dynamics simulations of epoxy curing, each containing millions of particles. Simulations performed using HOOMD-blue. -------- .. bibliography:: :filter: False Govoni2018 Validation study using five different codes to compute the vertical ionization potential and electron affinities of 100 molecules with the :math:`G_0W_0` approximation. Simulations performed using BerkeleyGW, FHI-aims, TURBOMOLE, VASP, and WEST.