autoCAS: a program for fully automated multi-configurational calculations
arXiv:1904.00097 · doi:10.1002/jcc.25869
Abstract
We present our implementation autoCAS for fully automated multi-configurational calculations, which we also make available free of charge on our webpages. The graphical user interface of autoCAS connects a general electronic structure program with a density matrix renormalization group program to carry out our recently introduced automated active space selection protocol for multi-configurational calculations [J. Chem. Theory Comput., 2016, 12, 1760]. Next to this active space selection, autoCAS carries out several steps of multi-configurational calculations so that only a minimal input is required to start them, comparable to that of a standard Kohn-Sham density functional theory calculation, so that black-box multi-configurational calculations become feasible. Furthermore, we introduce a new extension to the selection algorithm that facilitates automated selections for molecules with large valence orbital spaces consisting of several hundred orbitals.
31 pages, 6 figures
References in corpus (31)
- The density-matrix renormalization group
- Intrinsic atomic orbitals: An unbiased bridge between quantum theory and chemical concepts
- Thermodynamic limit of the density matrix renormalization for the spin-1 Heisenberg chain
- Heat-bath Configuration Interaction: An efficient selected CI algorithm inspired by heat-bath sampling
- Automated Selection of Active Orbital Spaces
- A deterministic alternative to the full configuration interaction quantum Monte Carlo method
- The density matrix renormalization group for ab initio quantum chemistry
- Tensor product methods and entanglement optimization for ab initio quantum chemistry
- Measuring orbital interaction using quantum information theory
- Exploration of Reaction Pathways and Chemical Transformation Networks
- Automated construction of molecular active spaces from atomic valence orbitals
- Quantum information analysis of electronic states at different molecular structures
- An Efficient Matrix Product Operator Representation of the Quantum-Chemical Hamiltonian
- Pushing Configuration-Interaction to the Limit: Towards Massively Parallel MCSCF Calculations
- Two-site entropy and quantum phase transitions in low-dimensional models
- Quantitative wave function analysis for excited states of transition metal complexes
- Multi-reference perturbation theory with Cholesky decomposition for the density matrix renormalization group
- New Approaches for ab initio Calculations of Molecules with Strong Electron Correlation
- Large-scale quantum-dynamics with matrix product states
- The Delicate Balance of Static and Dynamic Electron Correlation
- Spin-adapted Matrix Product States and Operators
- DMRG-SCF study of the singlet, triplet, and quintet states of oxo-Mn(Salen)
- Investigation of the Full Configuration Interaction Quantum Monte Carlo Method Using Homogeneous Electron Gas Models
- Error-Controlled Exploration of Chemical Reaction Networks with Gaussian Processes
- Automated Identification of Relevant Frontier Orbitals for Chemical Compounds and Processes
- Virtual orbital many-body expansions: A possible route towards the full configuration interaction limit
- Measuring Multi-Configurational Character by Orbital Entanglement
- Distinguishing Artificial and Essential Symmetry Breaking in a Single Determinant: Approach and Application to the C, C, and C Fullerenes
- Many-Body Expanded Full Configuration Interaction. I. Weakly Correlated Regime
- Mechanism Deduction from Noisy Chemical Reaction Networks
- Numerical and Theoretical Aspects of the DMRG-TCC Method Exemplified by the Nitrogen Dimer
Cited by in corpus (30)
- The Density Matrix Renormalization Group in Chemistry and Molecular Physics: Recent Developments and New Challenges
- Quantum computing enhanced computational catalysis
- The Exploration of Chemical Reaction Networks
- Fault-Tolerant Quantum Simulations of Chemistry in First Quantization
- Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
- Quantum Computing for Molecular Biology
- Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
- Quantum HF/DFT-Embedding Algorithms for Electronic Structure Calculations: Scaling up to Complex Molecular Systems
- Mutual information-assisted Adaptive Variational Quantum Eigensolver
- Initial state preparation for quantum chemistry on quantum computers
- Orbital entanglement and correlation from pCCD-tailored Coupled Cluster wave functions
- Transcorrelated Density Matrix Renormalization Group
- Tailored Coupled Cluster Theory in Varying Correlation Regimes
- Molecule-specific Uncertainty Quantification in Quantum Chemical Studies
- Electron Dynamics with the Time-Dependent Density Matrix Renormalization Group
- Corresponding Active Orbital Spaces along Chemical Reaction Paths
- Explicitly correlated electronic structure calculations with transcorrelated matrix product operators
- High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation
- Quantum Proton Effects from Density Matrix Renormalization Group Calculations
- SCINE -- Software for Chemical Interaction Networks
- A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits
- Exploring Coupled Cluster Green's function as a method for treating system and environment in Green's function embedding methods
- Weighted Active Space Protocol for Multireference Machine-Learned Potentials
- Renormalized Internally-Contracted Multireference Coupled Cluster with Perturbative Triples
- QCMaquis 4.0: Multi-Purpose Electronic, Vibrational, and Vibronic Structure and Dynamics Calculations with the Density Matrix Renormalization Group
- Semiclassical Dispersion Corrections efficiently improve Multi-Configurational Theory with Short-Range Density-Functional Dynamic Correlation
- Heron: Visualizing and Controlling Chemical Reaction Explorations and Networks
- Automatic selection of active spaces for strongly correlated systems using machine learning algorithms
- Quantum-Classical Auxiliary Field Quantum Monte Carlo with Matchgate Shadows on Trapped Ion Quantum Computers
- CAS: Imposed Automatic Selection and Localization of Complete Active Spaces