Management Decision Making: Towards an Integrative Approach D. Currie M. Teale V. Dispenza J. Flynn

Publikováno v: The Journal of the Operational Research Society, 2005 Jun 01. 56(6), 754-754.

Externí odkaz: https://www.jstor.org/stable/4102054

Nicholas A. Besley (1972–2021)

Autor: Jonathan D. Hirst, Andrew M. Teale, Anthony J. Stace, Peter J. Knowles

Publikováno v: Molecular Physics.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9d982f6ca2784cf85f4b8d484b8f5d3
https://doi.org/10.1080/00268976.2023.2218676

DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science

Autor: Andrew M. Teale, Trygve Helgaker, Andreas Savin, Carlo Adamo, Bálint Aradi, Alexei V. Arbuznikov, Paul W. Ayers, Evert Jan Baerends, Vincenzo Barone, Patrizia Calaminici, Eric Cancès, Emily A. Carter, Pratim Kumar Chattaraj, Henry Chermette, Ilaria Ciofini, T. Daniel Crawford, Frank De Proft, John F. Dobson, Claudia Draxl, Thomas Frauenheim, Emmanuel Fromager, Patricio Fuentealba, Laura Gagliardi, Giulia Galli, Jiali Gao, Paul Geerlings, Nikitas Gidopoulos, Peter M. W. Gill, Paola Gori-Giorgi, Andreas Görling, Tim Gould, Stefan Grimme, Oleg Gritsenko, Hans Jørgen Aagaard Jensen, Erin R. Johnson, Robert O. Jones, Martin Kaupp, Andreas M. Köster, Leeor Kronik, Anna I. Krylov, Simen Kvaal, Andre Laestadius, Mel Levy, Mathieu Lewin, Shubin Liu, Pierre-François Loos, Neepa T. Maitra, Frank Neese, John P. Perdew, Katarzyna Pernal, Pascal Pernot, Piotr Piecuch, Elisa Rebolini, Lucia Reining, Pina Romaniello, Adrienn Ruzsinszky, Dennis R. Salahub, Matthias Scheffler, Peter Schwerdtfeger, Viktor N. Staroverov, Jianwei Sun, Erik Tellgren, David J. Tozer, Samuel B. Trickey, Carsten A. Ullrich, Alberto Vela, Giovanni Vignale, Tomasz A. Wesolowski, Xin Xu, Weitao Yang

Publikováno v: Physical Chemistry Chemical Physics
Physical chemistry, chemical physics 24(47), 28700-28781 (2022). doi:10.1039/D2CP02827A
Physical chemistry chemical physics, 2022, Vol.24(47), pp.28700-28781 [Peer Reviewed Journal]
Teale, A M, Helgaker, T, Savin, A, Adamo, C, Aradi, B, Arbuznikov, A V, Ayers, P W, Baerends, E J, Barone, V, Calaminici, P, Cancès, E, Carter, E A, Chattaraj, P K, Chermette, H, Ciofini, I, Crawford, T D, De Proft, F, Dobson, J F, Draxl, C, Frauenheim, T, Fromager, E, Fuentealba, P, Gagliardi, L, Galli, G, Gao, J, Geerlings, P, Gidopoulos, N, Gill, P M W, Gori-Giorgi, P, Görling, A, Gould, T, Grimme, S, Gritsenko, O, Jensen, H J A, Johnson, E R, Jones, R O, Kaupp, M, Köster, A M, Kronik, L, Krylov, A I, Kvaal, S, Laestadius, A, Levy, M, Lewin, M, Liu, S, Loos, P F, Maitra, N T, Neese, F, Perdew, J P, Pernal, K, Pernot, P, Piecuch, P, Rebolini, E, Reining, L, Romaniello, P, Ruzsinszky, A, Salahub, D R, Scheffler, M, Schwerdtfeger, P, Staroverov, V N, Sun, J, Tellgren, E, Tozer, D J, Trickey, S B, Ullrich, C A, Vela, A, Vignale, G, Wesolowski, T A, Xu, X & Yang, W 2022, ' DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science ', Physical Chemistry Chemical Physics, vol. 24, no. 47, pp. 28700-28781 . https://doi.org/10.1039/d2cp02827a
Physical Chemistry Chemical Physics, 2022, ⟨10.1039/D2CP02827A⟩

In this paper, the history, present status, and future of density-functional theory (DFT) is informally reviewed and discussed by 70 workers in the field, including molecular scientists, materials scientists, method developers and practitioners. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296d84e7ec2aabfb5c8e2a85f197cdb2
https://hdl.handle.net/21.11116/0000-000C-06E3-D21.11116/0000-000C-06E5-B

Modeling Ultrafast Electron Dynamics in Strong Magnetic Fields Using Real-Time Time-Dependent Electronic Structure Methods

Autor: Tom J. P. Irons, Meilani Wibowo, Andrew M. Teale

Publikováno v: Journal of Chemical Theory and Computation

An implementation of real-time time-dependent Hartree-Fock (RT-TDHF) and current-density-functional theory (RT-TDCDFT) for molecules in strong uniform magnetic fields is presented. In contrast to earlier implementations, the present work enables the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09ab4e0c8b25f3f43f89d6a66da7c819
http://europepmc.org/articles/PMC8047917

Exact constraints and appropriate norms in machine learned exchange-correlation functionals

Autor: Kanun Pokharel, James W. Furness, Yi Yao, Volker Blum, Tom J. P. Irons, Andrew M. Teale, Jianwei Sun

Publikováno v: Journal of Chemical Physics

Machine learning techniques have received growing attention as an alternative strategy for developing general-purpose density functional approximations, augmenting the historically successful approach of human-designed functionals derived to obey mat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0404447d367174c4acf7c6a39945d07
http://arxiv.org/abs/2205.14241