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      Constraints on Light Dark Matter Particles Interacting with Electrons from DAMIC at SNOLAB

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          QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials.

          QUANTUM ESPRESSO is an integrated suite of computer codes for electronic-structure calculations and materials modeling, based on density-functional theory, plane waves, and pseudopotentials (norm-conserving, ultrasoft, and projector-augmented wave). The acronym ESPRESSO stands for opEn Source Package for Research in Electronic Structure, Simulation, and Optimization. It is freely available to researchers around the world under the terms of the GNU General Public License. QUANTUM ESPRESSO builds upon newly-restructured electronic-structure codes that have been developed and tested by some of the original authors of novel electronic-structure algorithms and applied in the last twenty years by some of the leading materials modeling groups worldwide. Innovation and efficiency are still its main focus, with special attention paid to massively parallel architectures, and a great effort being devoted to user friendliness. QUANTUM ESPRESSO is evolving towards a distribution of independent and interoperable codes in the spirit of an open-source project, where researchers active in the field of electronic-structure calculations are encouraged to participate in the project by contributing their own codes or by implementing their own ideas into existing codes.
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            Ionization Yield of Radiations. II. The Fluctuations of the Number of Ions

            U Fano (1947)
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              Dark Matter Search Results from a One Ton-Year Exposure of XENON1T

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                Author and article information

                Journal
                PRLTAO
                Physical Review Letters
                Phys. Rev. Lett.
                American Physical Society (APS)
                0031-9007
                1079-7114
                October 2019
                October 31 2019
                : 123
                : 18
                Article
                10.1103/PhysRevLett.123.181802
                9eaabc17-e3c0-4ab5-8a98-bde312231936
                © 2019

                https://link.aps.org/licenses/aps-default-license

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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