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Matrix elements of explicitly correlated Gaussian basis functions with arbitrary angular momentum
A new algorithm for calculating the Hamiltonian matrix elements with all-electron explicitly correlated Gaussian functions for quantum-mechanical calculations of atoms with arbitrary angular momentum is presented. The calculations are checked on several excited states of three and four electron systems. The presented formalism can be used as unified framework for high accuracy calculations of properties of small atoms and molecules.
Time evolution of ML-MCTDH wavefunctions. I. Gauge conditions, basis functions, and singularities
We derive a family of equations-of-motion (EOMs) for evolving multi-layer multiconfiguration time-dependent Hartree (ML-MCTDH) wavefunctions that, unlike the standard ML-MCTDH EOMs, never require the evaluation of the inverse of singular matrices. All members of this family of EOMs make use of alternative static gauge conditions than those used for standard ML-MCTDH. These alternative conditions result in an expansion of the wavefunction in terms of a set of potentially arbitrary orthonormal functions, rather than in terms of a set of non-orthonormal and potentially linearly dependent functions, as is the case for standard ML-MCTDH. We show that the EOMs used in the projector splitting integrator (PSI) and the invariant EOM approaches are two special cases of this family obtained from different choices for the dynamic gauge condition, with the invariant EOMs making use of a choice that introduces potentially unbounded operators into the EOMs. As a consequence, all arguments for the existence of parallelizable integration schemes for the invariant EOMs can also be applied to the PSI EOMs.
Very Short-term Photovoltaic Power Forecasting using Uncertain Basis Function
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LPV Identification of Wind Turbine Rotor Vibrational Dynamics Using Periodic Disturbance Basis Functions
Abstract not provided
Global Convergence of Radial Basis Function Trust Region Derivative-Free Algorithms
Abstract not provided
Crystal Diffraction Prediction and Partiality estimation using Gaussian basis functions
A small dataset with good data quality, useful as a benchmark. There exists a two-fold indexing ambiguity, so when processing with CrystFEL you will need to do: ambigator -o disambiguated.stream -y m-3 -w m-3m -j 72 ambiguous.stream Please check the README file for more information about the dataset. ----- Begin unit cell ----- CrystFEL unit cell file version 1.0 lattice_type = cubic centering = I a = 103.40 A b = 103.40 A c = 103.40 A al = 90.00 deg be = 90.00 deg ga = 90.00 deg ; Please note: this is the target unit cell. ; The actual unit cells produced by indexing depend on many other factors. ----- End unit cell -----
Structural and Functional Basis for Inhibition of Erythrocyte Invasion by Antibodies that Target Plasmodium falciparum EBA-175
Abstract not provided
Arbitrary-order Bernstein basis functions for Lagrangian Hydrodynamics [Slides]
Abstract not provided.
Sparse-view tomographic reconstruction of MagLIF emission volumes using learned basis functions.
Abstract not provided.
Sparse-view 3D tomographic reconstruction of MagLIF stagnation plasmas with learned basis functions
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On the Harmonic Balance Method Augmented with Non-Smooth Basis Functions for Contact/Impact Problems
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Data-Driven Reduced Models Using Radial Basis Functions
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Data-Driven Variational Reduced Models Using Learned Radial Basis Functions
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Adaptive Radial Basis Function Methods for Data Reduction
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Constrained Interpolation with Radial Basis Functions on the Sphere
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