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A direct orbital optimization method is presented for density functional calculations of excited electronic states using either a real space grid or a plane wave basis set. The method is variational, provides atomic forces in the excited…

Computational Physics · Physics 2022-11-09 Aleksei V. Ivanov , Gianluca Levi , Elvar Ö. Jónsson , Hannes Jónsson

We introduce an accurate and efficient method for a class of nonlocal potential evaluations with free boundary condition, including the 3D/2D Coulomb, 2D Poisson and 3D dipolar potentials. Our method is based on a Gaussian-sum approximation…

Computational Physics · Physics 2016-12-09 Lukas Exl , Norbert J. Mauser , Yong Zhang

Due to its efficiency and reasonable accuracy, density functional theory is one of the most widely used electronic structure theories in condensed matter physics, materials physics, and quantum chemistry. The accuracy and efficiency of a…

Chemical Physics · Physics 2019-02-06 James W Furness , Jianwei Sun

A new general purpose fixed target facility is proposed at the CERN SPS accelerator which is aimed at exploring the domain of hidden particles and make measurements with tau neutrinos. Hidden particles are predicted by a large number of…

Instrumentation and Detectors · Physics 2015-04-21 SHiP Collaboration , M. Anelli , S. Aoki , G. Arduini , J. J. Back , A. Bagulya , W. Baldini , A. Baranov , G. J. Barker , S. Barsuk , M. Battistin , J. Bauche , A. Bay , V. Bayliss , L. Bellagamba , G. Bencivenni , M. Bertani , O. Bezshyyko , D. Bick , N. Bingefors , A. Blondel , M. Bogomilov , A. Boyarsky , D. Bonacorsi , D. Bondarenko , W. Bonivento , J. Borburgh , T. Bradshaw , R. Brenner , D. Breton , N. Brook , M. Bruschi , A. Buonaura , S. Buontempo , S. Cadeddu , A. Calcaterra , M. Calviani , M. Campanelli , C. Capoccia , A. Cecchetti , A. Chatterjee , J. Chauveau , A. Chepurnov , M. Chernyavskiy , P. Ciambrone , C. Cicalo , G. Conti , K. Cornelis , M. Courthold , M. G. Dallavalle , N. D'Ambrosio , G. De Lellis , M. De Serio , L. Dedenko , A. Di Crescenzo , N. Di Marco , C. Dib , J. Dietrich , H. Dijkstra , D. Domenici , S. Donskov , D. Druzhkin , J. Ebert , U. Egede , A. Egorov , V. Egorychev , M. A. El Alaoui , T. Enik , A. Etenko , F. Fabbri , L. Fabbri , G. Fedorova , G. Felici , M. Ferro-Luzzi , R. A. Fini , M. Franke , M. Fraser , G. Galati , B. Giacobbe , B. Goddard , L. Golinka-Bezshyyko , D. Golubkov , A. Golutvin , D. Gorbunov , E. Graverini , J-L Grenard , A. M. Guler , C. Hagner , H. Hakobyan , J. C. Helo , E. van Herwijnen , D. Horvath , M. Iacovacci , G. Iaselli , R. Jacobsson , I. Kadenko , M. Kamiscioglu , C. Kamiscioglu , G. Khaustov , A. Khotjansev , B. Kilminster , V. Kim , N. Kitagawa , K. Kodama , A. Kolesnikov , D. Kolev , M. Komatsu , N. Konovalova , S. Koretskiy , I. Korolko , A. Korzenev , S. Kovalenko , Y. Kudenko , E. Kuznetsova , H. Lacker , A. Lai , G. Lanfranchi , A. Lauria , H. Lebbolo , J. -M. Levy , L. Lista , P. Loverre , A. Lukiashin , V. E. Lyubovitskij , A. Malinin , M. Manfredi , A. Perillo-Marcone , A. Marrone , R. Matev , E. N. Messomo , P. Mermod , S. Mikado , Yu. Mikhaylov , J. Miller , D. Milstead , O. Mineev , R. Mingazheva , G. Mitselmakher , M. Miyanishi , P. Monacelli , A. Montanari , M. C. Montesi , G. Morello , K. Morishima , S. Movtchan , V. Murzin , N. Naganawa , T. Naka , M. Nakamura , T. Nakano , N. Nurakhov , B. Obinyakov , K. Ocalan , S. Ogawa , V. Oreshkin , A. Orlov , J. Osborne , P. Pacholek , J. Panman , A. Paoloni , L. Paparella , A. Pastore , M. Patel , K. Petridis , M. Petrushin , M. Poli-Lener , N. Polukhina , V. Polyakov , M. Prokudin , G. Puddu , F. Pupilli , F. Rademakers , A. Rakai , T. Rawlings , F. Redi , S. Ricciardi , R. Rinaldesi , T. Roganova , A. Rogozhnikov , H. Rokujo , A. Romaniouk , G. Rosa , I. Rostovtseva , T. Rovelli , O. Ruchayskiy , T. Ruf , G. Saitta , V. Samoylenko , V. Samsonov , A. Sanz Ull , A. Saputi , O. Sato , W. Schmidt-Parzefall , N. Serra , S. Sgobba , M. Shaposhnikov , P. Shatalov , A. Shaykhiev , L. Shchutska , V. Shevchenko , H. Shibuya , Y. Shitov , S. Silverstein , S. Simone , M. Skorokhvatov , S. Smirnov , E. Solodko , V. Sosnovtsev , R. Spighi , M. Spinetti , N. Starkov , B. Storaci , C. Strabel , P. Strolin , S. Takahashi , P. Teterin , V. Tioukov , D. Tommasini , D. Treille , R. Tsenov , T. Tshchedrina , A. Ustyuzhanin , F. Vannucci , V. Venturi , M. Villa , Heinz Vincke , Helmut Vincke , M. Vladymyrov , S. Xella , M. Yalvac , N. Yershov , D. Yilmaz , A. U. Yilmazer , G. Vankova-Kirilova , Y. Zaitsev , A. Zoccoli

We present our novel evolutionary algorithm for generating Special Quasirandom Structures (SQS) designed to optimize the computational efficiency of Density Functional Theory (DFT) computations. Operating on the premise that symmetry…

Disordered Systems and Neural Networks · Physics 2026-02-12 Andrzej P. Kądzielawa

A theoretical description of scanning tunneling potentoimetry (STP) measurement is presented to address the increasing need for a basis to interpret experiments on macrscopic samples. Based on a heuristic understanding of STP provided to…

Mesoscale and Nanoscale Physics · Physics 2011-03-23 Weigang Wang , Malcolm R. Beasley

This chapter presents controlled approximations of Kohn-Sham density functional theory (DFT) that enable very large scale simulations. The work is motivated by the study of defects in crystalline solids, though the ideas can be used in…

Materials Science · Physics 2021-12-14 Kaushik Bhattacharya , Vikram Gavini , Michael Ortiz , Mauricio Ponga , Phanish Suryanarayana

A probability density function (pdf) encodes the entire stochastic knowledge about data distribution, where data may represent stochastic observations in robotics, transition state pairs in reinforcement learning or any other empirically…

Machine Learning · Computer Science 2018-09-18 Dmitry Kopitkov , Vadim Indelman

Due to efficient scaling with electron number N, density functional theory (DFT) is widely used for studies of large molecules and solids. Restriction of an exact mean-field theory to local potential functions has recently been questioned.…

Other Condensed Matter · Physics 2015-06-24 Robert K. Nesbet

Nuclear density functional theory is the prevalent theoretical framework for accurately describing nuclear properties at the scale of the entire chart of nuclides. Given an energy functional and a many-body scheme (e.g., single- or…

Nuclear Theory · Physics 2020-06-19 N. Schunck , J. O'Neal , M. Grosskopf , E. Lawrence , S. M. Wild

We suggest to include the density of electron charge explicitly in the electron potential of density functional theory, rather than implicitly via exchange-correlation functionals. The advantages of the approach are conceptual and…

Materials Science · Physics 2007-05-23 Werner A. Hofer , Krisztian Palotas

Subsystem Density-Functional Theory (DFT) is an emerging technique for calculating the electronic structure of complex molecular and condensed phase systems. In this topical review, we focus on some recent advances in this field related to…

Chemical Physics · Physics 2015-06-24 Alisa Krishtal , Debalina Sinha , Alessandro Genova , Michele Pavanello

Density functional theory (DFT) embedding provides a formally exact framework for interfacing correlated wave-function theory (WFT) methods with lower-level descriptions of electronic structure. Here, we report techniques to improve the…

Chemical Physics · Physics 2015-06-12 Jason D. Goodpaster , Taylor A. Barnes , Frederick R. Manby , Thomas F. Miller

A new approach for describing the effective electronic states of "atoms in compounds" to study the properties of molecules and condensed matter which are circumscribed by the operators heavily concentrated in atomic cores is proposed. Among…

Chemical Physics · Physics 2014-12-02 Anatoly V. Titov , Yuriy V. Lomachuk , Leonid V. Skripnikov

DFT calculations have become widespread in both chemistry and materials, because they usually provide useful accuracy at much lower computational cost than wavefunction-based methods. All practical DFT calculations require an approximation…

Chemical Physics · Physics 2022-03-15 Eunji Sim , Suhwan Song , Stefan Vuckovic , Kieron Burke

Strong-field quantum electrodynamics (SFQED) processes are central in determining the dynamics of particles and plasmas in extreme electromagnetic fields such as those present in the vicinity of compact astrophysical objects or generated…

Computational Physics · Physics 2023-09-04 Samuele Montefiori , Matteo Tamburini

The stochastic density functional theory (sDFT) has exhibited advantages over the standard Kohn-Sham DFT method and has become an attractive approach for large-scale electronic structure calculations. The sDFT method avoids the expensive…

Computational Physics · Physics 2025-12-08 Xue Quan , Huajie Chen

Partition density functional theory is a formally exact procedure for calculating molecular properties from Kohn-Sham calculations on isolated fragments, interacting via a global partition potential that is a functional of the fragment…

Other Condensed Matter · Physics 2015-05-13 Peter Elliott , Kieron Burke , Morrel H. Cohen , Adam Wasserman

An efficient mixed deterministic/sparse-stochastic plane-wave approach is developed for bandstructure calculations of large supercell periodic generalized-Kohn-Sham density functional theory, for any hybrid-exchange density functional. The…

Materials Science · Physics 2025-09-11 Tucker Allen , Barry Y. Li , Tim Duong , Kajsa Williams , Daniel Neuhauser

Introducing electric fields into density functional theory (DFT) calculations is essential for understanding electrochemical processes, interfacial phenomena, and the behavior of materials under applied bias. However, applying user-defined…

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