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We propose a nonadiabatic time-dependent spin-density functional theory (TDSDFT) approach for studying the single-electron excited states and the ultrafast response of systems with strong electron correlations. The correlations are…

Strongly Correlated Electrons · Physics 2013-11-27 Volodymyr Turkowski , Talat S. Rahman

Modern laboratory techniques like ultrafast laser excitation and shock compression can bring matter into highly nonequilibrium states with complex structural transformation, metallization and dissociation dynamics. To understand and model…

Computational Physics · Physics 2022-05-24 Qiyu Zeng , Bo Chen , Xiaoxiang Yu , Shen Zhang , Dongdong Kang , Han Wang , Jiayu Dai

We examine correlated electron and doubly charged ion momentum spectra from strong field double ionization of Neon employing intense elliptically polarized laser pulses. An ellipticity-dependent asymmetry of correlated electron and ion…

We present a deep neural net-based region of interest detection method (DNN ROI) for signal processing in the liquid argon time projection chambers of the Short-Baseline Neutrino (SBN) Program, SBND and ICARUS. DNN ROI addresses limitations…

Instrumentation and Detectors · Physics 2026-05-29 P. Abratenko , N. Abrego-Martinez , R. Acciarri , A. Aduszkiewicz , F. Akbar , D. Andrade Aldana , L. Aliaga-Soplin , F. Abd Alrahman , R. Alvarez-Garrote , C. Andreopoulos , A. Antonakis , M. Artero Pons , J. Asaadi , W. F. Badgett , S. Baena , B. Baibussinov , S. Balasubramanian , A. Barnard , V. Basque , J. Bateman , A. Beever , B. Behera , E. Belchior , V. Bellini , R. Benocci , J. Berger , S. Bertolucci , M. Betancourt , A. Bhat , M. Bishai , A. Blake , A. Blanchet , F. Boffelli , B. Bogart , M. Bonesini , T. Boone , B. Bottino , A. Braggiotti , D. Brailsford , A. Brandt , S. J. Brice , S. Brickner , V. Brio , C. Brizzolari , M. B. Brunetti , H. S. Budd , L. Camilleri , A. Campani , A. Campos , D. Caratelli , D. Carber , B. Carlson , M. F. Carneiro , I. Caro Terrazas , H. Carranza , R. Castillo , F. Castillo Fernandez , F. Cavanna , S. Centro , G. Cerati , A. Chappell , A. Chatterjee , H. Chen , D. Cherdack , S. Cherubini , N. Chithirasreemadam , S. Chung , M. F. Cicala , M. Cicerchia , R. Coackley , T. E. Coan , A. Cocco , M. R. Convery , L. Cooper-Troendle , S. Copello , C. Cuesta , Y. Dabburi , O. Dalager , M. Dall'Olio , A. A. Dange , R. Darby , S. Kr Das , M. Diwan , Z. Djurcic , S. Dolan , S. Dominguez-Vidales , S. Di Domizio , S. Donati , F. Drielsma , M. Dubnowski , K. Duffy , J. Dyer , S. Dytman , A. Ereditato , J. J. Evans , A. Ezeribe , A. Falcone , C. Fan , C. Farnese , A. Fava , D. Di Ferdinando , A. Filkins , B. Fleming , W. Foreman , D. Franco , G. Fricano , I. Furic , A. Furmanski , N. Gallice , S. Gao , D. Garcia-Gamez , S. Gardiner , C. Gatto , D. Gibin , I. Gil-Botella , A. Gioiosa , S. Gollapinni , P. Green , W. C. Griffith , W. Gu , A. Guglielmi , G. Gurung , L. Hagaman , P. Hamilton , K. Hassinin , H. Hausner , A. Heggestuen , A. Hergenhan , M. Hernandez-Morquecho , P. Holanda , B. Howard , R. Howell , Z. Hulcher , I. Ingratta , M. S. Ismail , C. James , W. Jang , R. S. Jones , M. Jung , T. Junk , Y. -J. Jwa , D. Kalra , G. Karagiorgi , L. Kashur , K. J. Kelly , W. Ketchum , J. S. Kim , M. King , J. Klein , D. -H. Koh , L. Kotsiopoulou , T. Kroupova , V. A. Kudryavtsev , V. do Lago Pimentel , N. Lane , J. Larkin , H. Lay , R. LaZur , J. -Y. Li , Y. Li , K. Lin , B. R. Littlejohn , L. Liu , W. C. Louis , X. Lu , X. Luo , A. Machado , P. Machado , C. Mariani , F. Marinho , C. M. Marshall , J. Marshall , C. Martin-Morales , S. Martynenko , A. Mastbaum , N. Mauri , K. Mavrokoridis , N. McConkey , B. McCusker , K. S. McFarland , J. Mclaughlin , A. Menegolli , G. Meng , O. G. Miranda , A. Mogan , N. Moggi , E. Montagna , A. Montanari , C. Montanari , M. Mooney , A. F. Moor , G. Moreno-Granados , H. Da Motta , C. A. Moura , J. Mueller , S. Mulleriababu , M. Murphy , D. P. Mendez , D. Naples , A. Navrer-Agasson , M. Nebot-Guinot , V. C. L. Nguyen , F. J. Nicolas-Arnaldos , L. Di Noto , J. Nowak , S. B. Oh , N. Oza , O. Palamara , S. Palestini , N. Pallat , M. Pallavicini , V. Pandey , V. Paolone , A. Papadopoulou , H. B. Parkinson , L. Pasqualini , J. Paton , L. Patrizii , L. Paulucci , Z. Pavlovic , D. Payne , L. Pelegrina-Gutierrez , O. L. G. Peres , G. Petrillo , C. Petta , V. Pia , F. Pietropaolo , J. Plows , F. Poppi , M. Pozzato , M. L. Pumo , G. Putnam , X. Qian , R. Rajagopalan , A. Rappoldi , G. L. Raselli , P. Ratoff , H. Ray , M. Reggiani-Guzzo , S. Repetto , F. Resnati , A. M. Ricci , A. Roberts , M. Roda , A. de Roeck , J. Romeo-Araujo , M. Rosenberg , M. Ross-Lonergan , M. Rossella , N. Rowe , P. Roy , C. Rubbia , I. Safa , S. Saha , G. Salmoria , S. Samanta , A. Sanchez-Castillo , P. Sanchez-Lucas , A. Scaramelli , D. W. Schmitz , A. Schneider , A. Schukraft , H. Scott , E. Segreto , D. Senadheera , S-H. Seo , F. Sergiampietri , M. Shaevitz , P. Singh , G. Sirri , B. Slater , J. S. Smedley , J. Smith , M. Soares-Nunes , M. Soderberg , S. Soldner-Rembold , J. Spitz , M. Stancari , L. Stanco , J. Stewart , T. Strauss , A. M. Szelc , H. A. Tanaka , M. Tenti , K. Terao , F. Terranova , C. Thorpe , V. Togo , D. Torretta , M. Torti , F. Tortorici , D. Totani , M. Toups , C. Touramanis , R. Triozzi , Y. -T. Tsai , L. Tung , M. Del Tutto , T. Usher , G. A. Valdiviesso , F. Varanini , N. Vardy , S. Ventura , M. Vicenzi , C. Vignoli , L. Wan , R. G. Van de Water , M. Weber , H. Wei , T. Wester , A. White , F. A. Wieler , A. Wilkinson , Z. Williams , P. Wilson , R. J. Wilson , J. Wolfs , T. Wongjirad , A. Wood , E. Worcester , M. Worcester , S. Yadav , E. Yandel , T. Yang , L. Yates , B. Yu , H. Yu , J. Yu , B. Zamorano , A. Zani , A. Vazquez-Ramos , J. Zennamo , J. Zettlemoyer , C. Zhang , S. Zucchelli

We present experimental data on the non-adiabatic strong field ionization of atomic hydrogen using elliptically polarized femtosecond laser pulses at a central wavelength of 390 nm. Our measured results are in very good agreement with a…

We demonstrate a machine learning based approach which can learn the time-dependent electronic excitation dynamics of small molecules subjected to ion irradiation. Ensembles of recurrent neural networks are trained on data generated by…

Chemical Physics · Physics 2024-09-24 Ethan P. Shapera , Cheng-Wei Lee

Within the nuclear-electronic orbital (NEO) framework, the real-time NEO time-dependent density functional theory (RT-NEO-TDDFT) approach enables the simulation of coupled electronic-nuclear dynamics. In this approach, the electrons and…

Chemical Physics · Physics 2023-03-22 Tao E. Li , Sharon Hammes-Schiffer

We report successful implementation of the time-dependent second-order many-body perturbation theory using optimized orthonormal orbital functions called time-dependent optimized second-order many-body perturbation theory [TD-OMP2] to reach…

Chemical Physics · Physics 2020-08-26 Himadri Pathak , Takeshi Sato , Kenichi L. Ishikawa

Dynamic Nuclear Polarization (DNP) is to date the most effective technique to increase the nuclear polarization up to a factor $100,000$ opening disruptive perspectives for medical applications. In DNP, the nuclear spins are driven to an -…

Strongly Correlated Electrons · Physics 2015-08-26 Andrea De Luca , Alberto Rosso

The methods of investigation of Time Reversal Invariance (TRI) violation using polarized neutron beam and polarized or aligned nuclear target are briefly considered. The new method of dynamic nuclear alignment (DNA) of quadrupolar nuclei is…

Nuclear Experiment · Physics 2011-04-15 V. A. Atsarkin , A. L. Barabanov , A. G. Beda , V. V. Novitsky

Despite their prominent role in cosmography, little is yet known about the nature of type-Ia supernovae (SNe Ia), from the identity of their progenitor systems, through the evolution of those systems up to ignition and explosion, and to the…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Dan Maoz

Liquid scintillation triple-to-doubly coincident ratio (TDCR) spectroscopy is widely adopted as a standard method for radionuclide quantification because of its inherent advantages such as high precision, self-calibrating capability, and…

Machine Learning · Computer Science 2025-09-04 Li Yi , Qian Yang

This study examines several techniques to improve the efficiency of the linearized multireference driven similarity renormalization group truncated to one- and two-body operators [MR-LDSRG(2)]. We propose a sequential MR-LDSRG(2)…

Chemical Physics · Physics 2019-03-29 Tianyuan Zhang , Chenyang Li , Francesco A. Evangelista

Neural ordinary differential equations (NODEs) -- parametrizations of differential equations using neural networks -- have shown tremendous promise in learning models of unknown continuous-time dynamical systems from data. However, every…

Machine Learning · Computer Science 2023-01-02 Franck Djeumou , Cyrus Neary , Eric Goubault , Sylvie Putot , Ufuk Topcu

We propose new approach for treatment of local and non-local interactions in correlated electronic systems, which uses self-energy and the two-particle irreducible vertices, obtained from (extended) dynamical mean-field theory, as an input…

Strongly Correlated Electrons · Physics 2019-03-12 A. A. Katanin

The nuclear-electronic orbital (NEO) method is a well-established approach for treating nuclei quantum mechanically in molecular systems beyond the usual Born-Oppenheimer approximation. In this work, we present a strategy to implement the…

Computational Physics · Physics 2022-06-29 Jianhang Xu , Ruiyi Zhou , Zhen Tao , Christopher Malbon , Volker Blum , Sharon Hammes-Schiffer , Yosuke Kanai

Numerical solving parameterised partial differential equations (P-PDEs) is highly practical yet computationally expensive, driving the development of reduced-order models (ROMs). Recently, methods that combine latent space identification…

Machine Learning · Computer Science 2024-10-08 Xinlei Lin , Dunhui Xiao

Wilson's Numerical Renormalization Group (NRG) is so far the only nonperturbative technique that can reliably access low-energy properties of quantum impurity systems. We present a recent extension of the method, the DM-NRG, which yields…

Mesoscale and Nanoscale Physics · Physics 2007-05-23 Walter Hofstetter

The observation of fraction quantum Hall states in twisted MoTe2 has sparked a lof of interest in this phenomenon. Most theoretical works to date rely on the brute-force exact diagonalization which is limited to the one partially occupied…

Strongly Correlated Electrons · Physics 2025-11-21 Run Hou , Andriy H. Nevidomskyy

A general {\it ab-initio} and non-perturbative method to solve the time-dependent Schr\"odinger equation (TDSE) for the interaction of a strong attosecond laser pulse with a general atom, i.e., beyond the models of quasi-one-electron or…

Atomic Physics · Physics 2016-11-17 X. Guan , O. Zatsarinny , K. Bartschat , B. I. Schneider , J. Feist , C. J. Noble