DFTB+, a software package for efficient approximate density functional theory based atomistic simulations.
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R J Maurer | B Hourahine | B Aradi | V Blum | F Bonafé | A Buccheri | C Camacho | C Cevallos | M Y Deshaye | T Dumitrică | A Dominguez | S Ehlert | M Elstner | T van der Heide | J Hermann | S Irle | J J Kranz | C Köhler | T Kowalczyk | T Kubař | I S Lee | V Lutsker | S K Min | I Mitchell | C Negre | T A Niehaus | A M N Niklasson | A J Page | A Pecchia | G Penazzi | M P Persson | J Řezáč | C G Sánchez | M Sternberg | M Stöhr | F Stuckenberg | A Tkatchenko | V W-Z Yu | T Frauenheim | A. Tkatchenko | V. Blum | A. Niklasson | S. Ehlert | R. Maurer | S. Irle | M. Elstner | T. Frauenheim | A. Pecchia | G. Penazzi | B. Aradi | V. Lutsker | T. Niehaus | T. Kubař | C. Köhler | B. Hourahine | T. Dumitricǎ | S. Min | C. Negre | C. Sánchez | J. Kranz | J. Řezáč | J. Hermann | T. Kowalczyk | A. Page | M. Stöhr | I. Lee | M. Deshaye | I. Mitchell | M. Sternberg | V. Yu | A. Buccheri | A. Dominguez | F. Bonafé | T. van der Heide | T. V. D. Heide | C. Camacho | C. Cevallos | M. P. Persson | F. Stuckenberg | Cristián G. Sánchez | S. K. Min | M. Y. Deshaye
[1] Bálint Aradi,et al. Density functional tight binding‐based free energy simulations in the DFTB+ program , 2018, J. Comput. Chem..
[2] A. Niklasson. Iterative refinement method for the approximate factorization of a matrix inverse , 2004 .
[3] Weitao Yang,et al. Charge transfer excitations from particle-particle random phase approximation-Opportunities and challenges arising from two-electron deficient systems. , 2017, The Journal of chemical physics.
[4] J. Perdew,et al. Density-Functional Theory for Fractional Particle Number: Derivative Discontinuities of the Energy , 1982 .
[5] T. Niehaus. Approximate time-dependent density functional theory , 2009 .
[6] Thomas Frauenheim,et al. Hydrogen bonding and stacking interactions of nucleic acid base pairs: A density-functional-theory based treatment , 2001 .
[7] S. Shaik,et al. A spin-restricted ensemble-referenced Kohn Sham method and its application to diradicaloid situations , 1999 .
[8] Takahito Nakajima,et al. Massively parallel sparse matrix function calculations with NTPoly , 2017, Comput. Phys. Commun..
[9] Guanhua Chen,et al. Permittivity of Oxidized Ultra-Thin Silicon Films From Atomistic Simulations , 2015, IEEE Electron Device Letters.
[10] D. York,et al. Extension of the self-consistent-charge density-functional tight-binding method: third-order expansion of the density functional theory total energy and introduction of a modified effective coulomb interaction. , 2007, The journal of physical chemistry. A.
[11] C. Humphreys,et al. Electron-energy-loss spectra and the structural stability of nickel oxide: An LSDA+U study , 1998 .
[12] A. Carlo,et al. Incoherent electron-phonon scattering in octanethiols , 2004 .
[13] M. Elstner,et al. Automatized parametrization of SCC-DFTB repulsive potentials: application to hydrocarbons. , 2009, The journal of physical chemistry. A.
[14] Stefan Grimme,et al. GFN2-xTB-An Accurate and Broadly Parametrized Self-Consistent Tight-Binding Quantum Chemical Method with Multipole Electrostatics and Density-Dependent Dispersion Contributions. , 2018, Journal of Chemical Theory and Computation.
[15] Adrienn Ruzsinszky,et al. Strongly Constrained and Appropriately Normed Semilocal Density Functional. , 2015, Physical review letters.
[16] Pavel Hobza,et al. Advanced Corrections of Hydrogen Bonding and Dispersion for Semiempirical Quantum Mechanical Methods. , 2012, Journal of chemical theory and computation.
[17] Anders M.N. Niklasson. Expansion algorithm for the density matrix , 2002 .
[18] Stefan Grimme,et al. Extension of the D3 dispersion coefficient model. , 2017, The Journal of chemical physics.
[19] Chao Yang,et al. Accelerating atomic orbital-based electronic structure calculation via pole expansion and selected inversion , 2012, Journal of physics. Condensed matter : an Institute of Physics journal.
[20] A. Tkatchenko,et al. Nanoscale π–π stacked molecules are bound by collective charge fluctuations , 2017, Nature Communications.
[21] H. Oberhofer,et al. Electronic couplings for molecular charge transfer: benchmarking CDFT, FODFT, and FODFTB against high-level ab initio calculations. , 2014, The Journal of chemical physics.
[22] T. Frauenheim,et al. Formation of Helices in Graphene Nanoribbons under Torsion. , 2014, The journal of physical chemistry letters.
[23] T. Martínez,et al. Analytical derivatives of the individual state energies in ensemble density functional theory method. I. General formalism. , 2017, The Journal of chemical physics.
[24] T. Frauenheim,et al. Extensions of the Time-Dependent Density Functional Based Tight-Binding Approach. , 2013, Journal of chemical theory and computation.
[25] Mathias Jacquelin,et al. ELSI: A unified software interface for Kohn-Sham electronic structure solvers , 2017, Comput. Phys. Commun..
[26] A. Tkatchenko,et al. Electronic properties of molecules and surfaces with a self-consistent interatomic van der Waals density functional. , 2015, Physical review letters.
[27] S. Irle,et al. Self-Consistent Optimization of Excited States within Density-Functional Tight-Binding. , 2016, Journal of chemical theory and computation.
[28] B. Aradi,et al. Possible improvements to the self‐consistent‐charges density‐functional tight‐binding method within the second order , 2012 .
[29] A. Laio,et al. Escaping free-energy minima , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[30] J. Řezáč. Empirical Self-Consistent Correction for the Description of Hydrogen Bonds in DFTB3. , 2017, Journal of chemical theory and computation.
[31] I. Tanaka,et al. First principles phonon calculations in materials science , 2015, 1506.08498.
[32] B. Sumpter,et al. Artificial neural network correction for density-functional tight-binding molecular dynamics simulations , 2019, MRS Communications.
[33] Massimiliano Bonomi,et al. PLUMED 2: New feathers for an old bird , 2013, Comput. Phys. Commun..
[34] Arvi Rauk,et al. On the calculation of multiplet energies by the hartree-fock-slater method , 1977 .
[35] S. Grimme,et al. Accurate Modeling of Organic Molecular Crystals by Dispersion-Corrected Density Functional Tight Binding (DFTB). , 2014, The journal of physical chemistry letters.
[36] L. Fried,et al. Development of a Multicenter Density Functional Tight Binding Model for Plutonium Surface Hydriding. , 2018, Journal of chemical theory and computation.
[37] A Marek,et al. The ELPA library: scalable parallel eigenvalue solutions for electronic structure theory and computational science , 2014, Journal of physics. Condensed matter : an Institute of Physics journal.
[38] G. Cuniberti,et al. Anisotropic Thermoelectric Response in Two-Dimensional Puckered Structures , 2016 .
[39] A. Gagliardi,et al. Heat dissipation and non-equilibrium phonon distributions in molecular devices , 2007 .
[40] Gerhard Klimeck,et al. Explicit screening full band quantum transport model for semiconductor nanodevices , 2018, Journal of Applied Physics.
[41] Guanhua Chen,et al. Atomic Level Modeling of Extremely Thin Silicon-on-Insulator MOSFETs Including the Silicon Dioxide: Electronic Structure , 2015, IEEE Transactions on Electron Devices.
[42] Christian F. A. Negre,et al. The basic matrix library (BML) for quantum chemistry , 2018, The Journal of Supercomputing.
[43] Nicolas Ferré,et al. Density-Functional Methods for Excited States , 2016 .
[44] Anders M N Niklasson,et al. Generalized extended Lagrangian Born-Oppenheimer molecular dynamics. , 2014, The Journal of chemical physics.
[45] Fabiano Corsetti,et al. The orbital minimization method for electronic structure calculations with finite-range atomic basis sets , 2013, Comput. Phys. Commun..
[46] Jack J. Dongarra,et al. Accelerating Numerical Dense Linear Algebra Calculations with GPUs , 2014, Numerical Computations with GPUs.
[47] A. Laio,et al. Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science , 2008 .
[48] Alexandre Tkatchenko,et al. Hard Numbers for Large Molecules: Toward Exact Energetics for Supramolecular Systems. , 2014, The journal of physical chemistry letters.
[49] V. Barone,et al. Time-Dependent Density Functional Tight Binding: New Formulation and Benchmark of Excited States. , 2011, Journal of chemical theory and computation.
[50] Richard D. James,et al. Objective Molecular Dynamics , 2007 .
[51] Marcus Elstner,et al. Generalized Density-Functional Tight-Binding Repulsive Potentials from Unsupervised Machine Learning. , 2018, Journal of chemical theory and computation.
[52] A. Tkatchenko,et al. Quantum mechanics of proteins in explicit water: The role of plasmon-like solute-solvent interactions , 2019, Science Advances.
[53] M. Filatov. Ensemble DFT Approach to Excited States of Strongly Correlated Molecular Systems. , 2016, Topics in current chemistry.
[54] A. Carlo,et al. Negative quantum capacitance of gated carbon nanotubes , 2005 .
[55] Stefan Grimme,et al. Comprehensive Benchmark of Association (Free) Energies of Realistic Host-Guest Complexes. , 2015, Journal of chemical theory and computation.
[56] Michael Gaus,et al. DFTB3: Extension of the self-consistent-charge density-functional tight-binding method (SCC-DFTB). , 2011, Journal of chemical theory and computation.
[57] G. Scuseria,et al. An efficient implementation of time-dependent density-functional theory for the calculation of excitation energies of large molecules , 1998 .
[58] Vicente Hernández,et al. SLEPc: A scalable and flexible toolkit for the solution of eigenvalue problems , 2005, TOMS.
[59] Andreas Hansen,et al. Fast and Reasonable Geometry Optimization of Lanthanoid Complexes with an Extended Tight Binding Quantum Chemical Method. , 2017, Inorganic chemistry.
[60] Michael E. Wall,et al. Recursive Factorization of the Inverse Overlap Matrix in Linear-Scaling Quantum Molecular Dynamics Simulations. , 2016, Journal of chemical theory and computation.
[61] Evert Jan Baerends,et al. Relativistic regular two‐component Hamiltonians , 1993 .
[62] P. Lugli,et al. A simple tight-binding approach to Time-Dependent Density-Functional Response-Theory , 2001 .
[63] Bálint Aradi,et al. SCC‐DFTB parameters for simulating hybrid gold‐thiolates compounds , 2015, J. Comput. Chem..
[64] Michael Walter,et al. The atomic simulation environment-a Python library for working with atoms. , 2017, Journal of physics. Condensed matter : an Institute of Physics journal.
[65] G. Torrie,et al. Nonphysical sampling distributions in Monte Carlo free-energy estimation: Umbrella sampling , 1977 .
[66] Kevin E. Riley,et al. Extensions of the S66 Data Set: More Accurate Interaction Energies and Angular-Displaced Nonequilibrium Geometries , 2011 .
[67] Sándor Suhai,et al. Self-consistent-charge density-functional tight-binding method for simulations of complex materials properties , 1998 .
[68] Eike Caldeweyher,et al. Understanding and Quantifying London Dispersion Effects in Organometallic Complexes. , 2019, Accounts of chemical research.
[69] T. Frauenheim,et al. Simulation of Impulsive Vibrational Spectroscopy. , 2019, The journal of physical chemistry. A.
[70] Alexandre Tkatchenko,et al. Long-range correlation energy calculated from coupled atomic response functions. , 2013, The Journal of chemical physics.
[71] Anders M N Niklasson,et al. Extended Born-Oppenheimer molecular dynamics. , 2008, Physical review letters.
[72] Stephan Irle,et al. Molecular Simulation of Water and Hydration Effects in Different Environments: Challenges and Developments for DFTB Based Models , 2014, The journal of physical chemistry. B.
[73] T. Bučko,et al. A Fractionally Ionic Approach to Polarizability and van der Waals Many-Body Dispersion Calculations. , 2016, Journal of chemical theory and computation.
[74] T. Frauenheim,et al. DFTB+, a sparse matrix-based implementation of the DFTB method. , 2007, The journal of physical chemistry. A.
[75] Matthias Rupp,et al. Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach. , 2015, Journal of chemical theory and computation.
[76] S. Grimme,et al. A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. , 2010, The Journal of chemical physics.
[77] A. Scemama,et al. Modeling Charge Resonance in Cationic Molecular Clusters: Combining DFT-Tight Binding with Configuration Interaction. , 2011, Journal of chemical theory and computation.
[78] Gotthard Seifert,et al. Density functional tight binding , 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[79] T. Frauenheim,et al. Initial steps toward automating the fitting of DFTB Erep(r). , 2007, The journal of physical chemistry. A.
[80] J. Carlsson,et al. Atomistic Modeling of Charge Transport across a Carbon Nanotube–Polyethylene Junction , 2013 .
[81] Weitao Yang,et al. Multiscale Quantum Mechanics/Molecular Mechanics Simulations with Neural Networks. , 2016, Journal of chemical theory and computation.
[82] C. C. J. Roothaan,et al. Self-Consistent Field Theory for Open Shells of Electronic Systems , 1960 .
[83] A. Tkatchenko,et al. Accurate molecular van der Waals interactions from ground-state electron density and free-atom reference data. , 2009, Physical review letters.
[84] S. Irle,et al. Delocalization errors in a hubbard‐like model: Consequences for density‐functional tight‐binding calculations of molecular systems , 2012 .
[85] M. Filatov,et al. Excitation energies from spin-restricted ensemble-referenced Kohn-Sham method: a state-average approach. , 2008, The journal of physical chemistry. A.
[86] A. Carlo,et al. Atomistic theory of transport in organic and inorganic nanostructures , 2004 .
[87] A. Carlo,et al. Electron–phonon scattering in molecular electronics: from inelastic electron tunnelling spectroscopy to heating effects , 2008 .
[88] Michael Gaus,et al. Parameterization of DFTB3/3OB for Sulfur and Phosphorus for Chemical and Biological Applications , 2014, Journal of chemical theory and computation.
[89] Intrinsic twist in Iβ cellulose microfibrils by tight-binding objective boundary calculations. , 2020, Carbohydrate polymers.
[90] G. Seifert,et al. An efficient way to model complex magnetite: Assessment of SCC-DFTB against DFT. , 2019, The Journal of chemical physics.
[91] P. Hohenberg,et al. Inhomogeneous Electron Gas , 1964 .
[92] Taisuke Ozaki,et al. O ( N ) LDA + U electronic structure calculation method based on the nonorthogonal pseudoatomic orbital basis , 2006 .
[93] Pavel Hobza,et al. S66: A Well-balanced Database of Benchmark Interaction Energies Relevant to Biomolecular Structures , 2011, Journal of chemical theory and computation.
[94] Taisuke Ozaki,et al. Efficient implementation of the nonequilibrium Green function method for electronic transport calculations , 2009, 0908.4142.
[95] Bálint Aradi,et al. Efficient Automatized Density-Functional Tight-Binding Parametrizations: Application to Group IV Elements. , 2018, Journal of chemical theory and computation.
[96] Jack J. Dongarra,et al. Towards dense linear algebra for hybrid GPU accelerated manycore systems , 2009, Parallel Comput..
[97] A M N Niklasson,et al. Efficient parallel linear scaling construction of the density matrix for Born-Oppenheimer molecular dynamics. , 2015, Journal of chemical theory and computation.
[98] G. Seifert,et al. Treatment of collinear and noncollinear electron spin within an approximate density functional based method. , 2007, The journal of physical chemistry. A.
[99] A. Niklasson. Next generation extended Lagrangian first principles molecular dynamics. , 2017, The Journal of chemical physics.
[100] Michal Otyepka,et al. Malonate-based inhibitors of mammalian serine racemase: kinetic characterization and structure-based computational study. , 2015, European journal of medicinal chemistry.
[101] Berk Hess,et al. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers , 2015 .
[102] Michele Ceriotti,et al. i-PI: A Python interface for ab initio path integral molecular dynamics simulations , 2014, Comput. Phys. Commun..
[103] Alessio Filippetti,et al. Self-interaction-corrected pseudopotential scheme for magnetic and strongly-correlated systems , 2003 .
[104] T. Frauenheim,et al. Accurate hydrogen bond energies within the density functional tight binding method. , 2015, The journal of physical chemistry. A.
[105] N. Hush,et al. The Green's function density functional tight-binding (gDFTB) method for molecular electronic conduction. , 2007, The journal of physical chemistry. A.
[106] Shane R. Yost,et al. Assessment of the ΔSCF density functional theory approach for electronic excitations in organic dyes. , 2011, The Journal of chemical physics.
[107] U. Gerstmann,et al. Approximate density-functional calculations of spin densities in large molecular systems and complex solids , 2001 .
[108] W. Pickett,et al. Anisotropy and Magnetism in the LSDA+U Method , 2008, 0808.1706.
[109] Anders S. Christensen,et al. Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications , 2016, Chemical reviews.
[110] U. Gerstmann,et al. Theoretical study of rare earth point defects in GaN , 2008 .
[111] Gotthard Seifert,et al. Density‐functional tight binding—an approximate density‐functional theory method , 2012 .
[112] Martin T. Dove,et al. DL_POLY_3: new dimensions in molecular dynamics simulations via massive parallelism , 2006 .
[113] Jan H. Jensen,et al. Random versus Systematic Errors in Reaction Enthalpies Computed Using Semiempirical and Minimal Basis Set Methods , 2018, ACS omega.
[114] T. Frauenheim,et al. Collapsed carbon nanotubes: From nano to mesoscale via density functional theory-based tight-binding objective molecular modeling , 2019, Carbon.
[115] G. Seifert,et al. Density functional based calculations for Fen (n ≤ 32) , 2005 .
[116] G. Seifert,et al. Correction for dispersion and Coulombic interactions in molecular clusters with density functional derived methods: application to polycyclic aromatic hydrocarbon clusters. , 2009, The Journal of chemical physics.
[117] Tchavdar N. Todorov,et al. Time-dependent tight binding , 2001 .
[118] A. Tkatchenko,et al. Accurate and efficient method for many-body van der Waals interactions. , 2012, Physical review letters.
[119] K. Hermansson,et al. Self-Consistent-Charge Density-Functional Tight-Binding (SCC-DFTB) Parameters for Ceria in 0D to 3D , 2017 .
[120] M. Elstner,et al. Parametrization and Benchmark of DFTB3 for Organic Molecules. , 2013, Journal of chemical theory and computation.
[121] J. C. Slater,et al. Simplified LCAO Method for the Periodic Potential Problem , 1954 .
[122] Sándor Suhai,et al. A Self‐Consistent Charge Density‐Functional Based Tight‐Binding Method for Predictive Materials Simulations in Physics, Chemistry and Biology , 2000 .
[123] T. Frauenheim,et al. Ewald summation on a helix: A route to self-consistent charge density-functional based tight-binding objective molecular dynamics. , 2013, The Journal of chemical physics.
[124] M. Elstner,et al. Time-Dependent Extension of the Long-Range Corrected Density Functional Based Tight-Binding Method. , 2017, Journal of chemical theory and computation.
[125] Roi Baer,et al. Tuned range-separated hybrids in density functional theory. , 2010, Annual review of physical chemistry.
[126] A. Becke. A multicenter numerical integration scheme for polyatomic molecules , 1988 .
[127] B. Sumpter,et al. The Fragment Molecular Orbital Method Based on Long-Range Corrected Density-Functional Tight-Binding. , 2019, Journal of chemical theory and computation.
[128] Michael Filatov,et al. Spin‐restricted ensemble‐referenced Kohn–Sham method: basic principles and application to strongly correlated ground and excited states of molecules , 2015 .
[129] M. Hellström,et al. An SCC-DFTB Repulsive Potential for Various ZnO Polymorphs and the ZnO–Water System , 2013, The journal of physical chemistry. C, Nanomaterials and interfaces.
[130] S. Irle,et al. Quantum chemical prediction of vibrational spectra of large molecular systems with radical or metallic electronic structure , 2017 .
[131] D. Jacquemin,et al. Performances of Density Functional Tight-Binding Methods for Describing Ground and Excited State Geometries of Organic Molecules. , 2019, Journal of chemical theory and computation.
[132] Micael J. T. Oliveira,et al. Recent developments in libxc - A comprehensive library of functionals for density functional theory , 2018, SoftwareX.
[133] T. Darden,et al. Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems , 1993 .
[134] Stefan Grimme,et al. A Robust and Accurate Tight-Binding Quantum Chemical Method for Structures, Vibrational Frequencies, and Noncovalent Interactions of Large Molecular Systems Parametrized for All spd-Block Elements (Z = 1-86). , 2017, Journal of chemical theory and computation.
[135] A. Tkatchenko,et al. Structure and Stability of Molecular Crystals with Many-Body Dispersion-Inclusive Density Functional Tight Binding. , 2018, The journal of physical chemistry letters.
[136] Importance of electronic self-consistency in the TDDFT based treatment of nonadiabatic molecular dynamics , 2004, physics/0411104.
[137] C. Bannwarth,et al. B97-3c: A revised low-cost variant of the B97-D density functional method. , 2018, The Journal of chemical physics.
[138] B. Hourahine. Excited multiplets of Eu in GaN , 2011 .
[139] S. Goedecker. Linear scaling electronic structure methods , 1999 .
[140] Francesc Illas,et al. Restricted Ensemble-Referenced Kohn-Sham versus Broken Symmetry Approaches in Density Functional Theory: Magnetic Coupling in Cu Binuclear Complexes. , 2007, Journal of chemical theory and computation.
[141] Christof Vömel,et al. ScaLAPACK's MRRR algorithm , 2010, TOMS.
[142] W. Kohn,et al. Self-Consistent Equations Including Exchange and Correlation Effects , 1965 .
[143] T. Frauenheim,et al. A Self Energy Model of Dephasing in Molecular Junctions , 2016 .
[144] Kan Zhang,et al. Interaction of Rhodamine 6G molecules with graphene: a combined computational-experimental study. , 2016, Physical chemistry chemical physics : PCCP.
[145] Bálint Aradi,et al. Extended Lagrangian Density Functional Tight-Binding Molecular Dynamics for Molecules and Solids. , 2015, Journal of chemical theory and computation.
[146] I. I. Mazin,et al. Correlated metals and the LDA+U method , 2002, cond-mat/0206548.
[147] C. Corminboeuf,et al. A fast charge‐Dependent atom‐pairwise dispersion correction for DFTB3 , 2015 .
[148] A. Lichtenstein,et al. First-principles calculations of electronic structure and spectra of strongly correlated systems: the LDA+U method , 1997 .
[149] Jack J. Dongarra,et al. A Parallel Divide and Conquer Algorithm for the Symmetric Eigenvalue Problem on Distributed Memory Architectures , 1999, SIAM J. Sci. Comput..
[150] Zhibin Lin,et al. Ultrafast equilibration of excited electrons in dynamical simulations , 2009, Journal of physics. Condensed matter : an Institute of Physics journal.
[151] S. Min,et al. Formulation and Implementation of the Spin-Restricted Ensemble-Referenced Kohn-Sham Method in the Context of the Density Functional Tight Binding Approach. , 2019, Journal of chemical theory and computation.
[152] A. Weiss,et al. ANALYTICAL SELF-CONSISTENT FIELD FUNCTIONS FOR THE ATOMIC CONFIGURATIONS 1s$sup 2$, 1s$sup 2$2s, AND 1s$sup 2$2s$sup 2$ , 1960 .
[153] G. Klopman. A semiempirical treatment of molecular structures. I. Electronegativity and atomic terms , 1964 .
[154] B. Delley. From molecules to solids with the DMol3 approach , 2000 .
[155] Stefan Grimme,et al. Effect of the damping function in dispersion corrected density functional theory , 2011, J. Comput. Chem..
[156] B. Aradi,et al. Implementation and benchmark of a long-range corrected functional in the density functional based tight-binding method. , 2015, The Journal of chemical physics.
[157] Weitao Yang,et al. Molecular Dynamics Simulations with Quantum Mechanics/Molecular Mechanics and Adaptive Neural Networks. , 2018, Journal of chemical theory and computation.
[158] S. Irle,et al. Parametrization and Benchmark of Long-Range Corrected DFTB2 for Organic Molecules. , 2018, Journal of chemical theory and computation.
[159] A. Di Carlo,et al. Non-equilibrium Green's functions in density functional tight binding: method and applications , 2008 .
[160] C. Bannwarth,et al. A generally applicable atomic-charge dependent London dispersion correction. , 2019, The Journal of chemical physics.
[161] A. Tkatchenko,et al. Theory and practice of modeling van der Waals interactions in electronic-structure calculations. , 2019, Chemical Society reviews.
[162] S. Kaya,et al. Toward understanding the adsorption mechanism of large size organic corrosion inhibitors on an Fe(110) surface using the DFTB method , 2017 .
[163] M. Head‐Gordon,et al. Failure of time-dependent density functional theory for long-range charge-transfer excited states: the zincbacteriochlorin-bacteriochlorin and bacteriochlorophyll-spheroidene complexes. , 2004, Journal of the American Chemical Society.
[164] B. Delley. An all‐electron numerical method for solving the local density functional for polyatomic molecules , 1990 .
[165] Seifert,et al. Construction of tight-binding-like potentials on the basis of density-functional theory: Application to carbon. , 1995, Physical review. B, Condensed matter.
[166] T. Frauenheim,et al. Plasmon-driven sub-picosecond breathing of metal nanoparticles. , 2017, Nanoscale.
[167] K. Reuter,et al. Communication: Charge-population based dispersion interactions for molecules and materials. , 2016, The Journal of chemical physics.
[168] Geoffrey J. Gordon,et al. A Density Functional Tight Binding Layer for Deep Learning of Chemical Hamiltonians. , 2018, Journal of chemical theory and computation.
[169] N. Mataga,et al. Electronic Structure and Spectra of Some Nitrogen Heterocycles , 1957 .
[170] T. Dumitricǎ,et al. Stability of polycrystalline and wurtzite Si nanowires via symmetry-adapted tight-binding objective molecular dynamics. , 2008, The Journal of chemical physics.
[171] Bálint Aradi,et al. Fully Atomistic Real-Time Simulations of Transient Absorption Spectroscopy. , 2018, The journal of physical chemistry letters.
[172] G. Seifert,et al. Calculations of molecules, clusters, and solids with a simplified LCAO-DFT-LDA scheme , 1996 .
[173] Gianaurelio Cuniberti,et al. Quantum Phonon Transport in Nanomaterials: Combining Atomistic with Non-Equilibrium Green’s Function Techniques , 2019, Entropy.
[174] T. Niehaus,et al. Range separated functionals in the density functional based tight‐binding method: Formalism , 2011, 1111.2022.
[175] B Aradi,et al. Self-interaction and strong correlation in DFTB. , 2007, The journal of physical chemistry. A.
[176] F. L. Hirshfeld. Bonded-atom fragments for describing molecular charge densities , 1977 .
[177] M. Elstner. SCC-DFTB: what is the proper degree of self-consistency? , 2007, The journal of physical chemistry. A.
[178] G. Cuniberti,et al. Thermal bridging of graphene nanosheets via covalent molecular junctions: A non-equilibrium Green’s functions–density functional tight-binding study , 2019, Nano Research.