Wen et al., 2013 - Google Patents
Adaptive regularized self-consistent field iteration with exact Hessian for electronic structure calculationWen et al., 2013
View PDF- Document ID
- 5027382683047631299
- Author
- Wen Z
- Milzarek A
- Ulbrich M
- Zhang H
- Publication year
- Publication venue
- SIAM Journal on Scientific Computing
External Links
Snippet
The self-consistent field (SCF) iteration has been used ubiquitously for solving the Kohn-- Sham (KS) equation or the minimization of the KS total energy functional with respect to orthogonality constraints in electronic structure calculations. Although SCF with heuristics …
- 230000003044 adaptive 0 title description 24
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
- G06F17/12—Simultaneous equations, e.g. systems of linear equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5018—Computer-aided design using simulation using finite difference methods or finite element methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
- G06F17/13—Differential equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/60—Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radix; Computing devices using combinations of denominational and non-denominational quantity representations, e.g. using difunction pulse trains, STEELE computers, phase computers
- G06F7/72—Methods or arrangements for performing computations using a digital non-denominational number representation, i.e. number representation without radix; Computing devices using combinations of denominational and non-denominational quantity representations, e.g. using difunction pulse trains, STEELE computers, phase computers using residue arithmetic
- G06F7/724—Finite field arithmetic
- G06F7/726—Inversion; Reciprocal calculation; Division of elements of a finite field
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/708—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for data visualisation, e.g. molecular structure representations, graphics generation, display of maps or networks or other visual representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/70—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds
- G06F19/701—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for molecular modelling, e.g. calculation and theoretical details of quantum mechanics, molecular mechanics, molecular dynamics, Monte Carlo methods, conformational analysis or the like
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/08—Multi-objective optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/16—Numerical modeling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/16—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for molecular structure, e.g. structure alignment, structural or functional relations, protein folding, domain topologies, drug targeting using structure data, involving two-dimensional or three-dimensional structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/78—Power analysis and optimization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yen et al. | Cartan subalgebra approach to efficient measurements of quantum observables | |
Liu et al. | On the convergence of the self-consistent field iteration in Kohn--Sham density functional theory | |
Grasedyck et al. | A literature survey of low‐rank tensor approximation techniques | |
Bauer et al. | Implementing global Abelian symmetries in projected entangled-pair state algorithms | |
Taylor et al. | Lyapunov functions for first-order methods: Tight automated convergence guarantees | |
Dolgov et al. | Computation of extreme eigenvalues in higher dimensions using block tensor train format | |
Holm et al. | Stochastic discrete Hamiltonian variational integrators | |
Konno et al. | Limit measures of inhomogeneous discrete-time quantum walks in one dimension | |
Wen et al. | Adaptive regularized self-consistent field iteration with exact Hessian for electronic structure calculation | |
Dang et al. | Reachability Analysis for Polynomial Dynamical Systems Using the Bernstein Expansion. | |
Zhang et al. | Gradient type optimization methods for electronic structure calculations | |
Casas et al. | Optimal control of semilinear parabolic equations by BV-functions | |
Karasözen et al. | Energy preserving model order reduction of the nonlinear Schrödinger equation | |
Doca et al. | A frictional mortar contact approach for the analysis of large inelastic deformation problems | |
Yang et al. | On the convergence of the self-consistent field iteration for a class of nonlinear eigenvalue problems | |
Chang et al. | Computing eigenvalues of large scale sparse tensors arising from a hypergraph | |
Gertz et al. | A primal-dual trust region algorithm for nonlinear optimization | |
Wang et al. | A subspace implementation of quasi-Newton trust region methods for unconstrained optimization | |
Hwang et al. | Solution of ordinary differential equations in gradient-based multidisciplinary design optimization | |
Oulmelk et al. | An artificial neural network approach to identify the parameter in a nonlinear subdiffusion model | |
Kirby et al. | Topological optimization of the evaluation of finite element matrices | |
White et al. | Stabilized neural differential equations for learning dynamics with explicit constraints | |
Wu et al. | Multiway Monte Carlo method for linear systems | |
Barrachina et al. | Efficient algorithms for generalized algebraic Bernoulli equations based on the matrix sign function | |
Jing et al. | HHL algorithm with mapping function and enhanced sampling for model predictive control in microgrids |