Molecule-specific Uncertainty Quantification in Quantum Chemical Studies
arXiv:2109.03732 · doi:10.1002/ijch.202100101
Abstract
Solving the electronic Schrödinger equation for changing nuclear coordinates provides access to the Born-Oppenheimer potential energy surface. This surface is the key starting point for almost all theoretical studies of chemical processes in electronic ground and excited states (including molecular structure prediction, reaction mechanism elucidation, molecular property calculations, quantum and molecular dynamics). Electronic structure models aim at a sufficiently accurate approaximation of this surface. They have therefore become a cornerstone of theoretical and computational chemistry, molecular physics, and materials science. In this work, we elaborate on general features of approximate electronic structure models such as accuracy, transferability, and general applicability in order to arrive at a perspective for future developments, of which a vanguard has already arrived. Our quintessential proposition is that meaningful quantum mechanical predictions for chemical phenomena require system-specific uncertainty information for each and every electronic structure calculation, if objective conclusions shall be drawn with confidence.
arXiv comment36 pages
References in corpus (54)
- A variational eigenvalue solver on a quantum processor
- On representing chemical environments
- Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
- Quantum computational chemistry
- Simulated Quantum Computation of Molecular Energies
- Towards standard methods for benchmark quality ab initio thermochemistry --- W1 and W2 theory
- Big Data meets Quantum Chemistry Approximations: The -Machine Learning Approach
- A quantum algorithm providing exponential speed increase for finding eigenvalues and eigenvectors
- W4 theory for computational thermochemistry: in pursuit of confident sub-kJ/mol predictions
- Elucidating Reaction Mechanisms on Quantum Computers
- Simulation of Many-Body Fermi Systems on a Universal Quantum Computer
- Heat-bath Configuration Interaction: An efficient selected CI algorithm inspired by heat-bath sampling
- W3 theory: robust computational thermochemistry in the kJ/mol accuracy range
- Automated Selection of Active Orbital Spaces
- The Density Matrix Renormalization Group in Chemistry and Molecular Physics: Recent Developments and New Challenges
- A deterministic alternative to the full configuration interaction quantum Monte Carlo method
- Exploration of Reaction Pathways and Chemical Transformation Networks
- Quantum computing enhanced computational catalysis
- An adaptive configuration interaction approach for strongly correlated electrons with tunable accuracy
- New Benchmark Set of Transition-Metal Coordination Reactions for the Assessment of Density Functionals
- The Exploration of Chemical Reaction Networks
- Bayesian Error Estimation in Density Functional Theory
- Selected configuration interaction dressed by perturbation
- The Delicate Balance of Static and Dynamic Electron Correlation
- Density Matrix Renormalization Group with Efficient Dynamical Electron Correlation Through Range Separation
- autoCAS: a program for fully automated multi-configurational calculations
- Coupled cluster method with single and double excitations tailored by matrix product state wave functions
- Benchmarking theory with an improved measurement of the ionization and dissociation energies of H
- Error-Controlled Exploration of Chemical Reaction Networks with Gaussian Processes
- Automated Identification of Relevant Frontier Orbitals for Chemical Compounds and Processes
- Systematic Error Estimation for Chemical Reaction Energies
- Nonadiabatic QED correction to the dissociation energy of the hydrogen molecule
- Calculation of Ligand Dissociation Energies in Large Transition-Metal Complexes
- A critical review of statistical calibration/prediction models handling data inconsistency and model inadequacy
- Unbiasing the initiator approximation in Full Configuration Interaction Quantum Monte Carlo
- Prospects of Quantum Computing for Molecular Sciences
- Dissociation energy of the hydrogen molecule at 10 accuracy
- Relativistic corrections for the ground electronic state of molecular hydrogen
- Gaussian Process-Based Refinement of Dispersion Corrections
- Reliable estimation of prediction uncertainty for physico-chemical property models
- Many-Body Expanded Full Configuration Interaction. I. Weakly Correlated Regime
- Mechanism Deduction from Noisy Chemical Reaction Networks
- Error Assessment of Computational Models in Chemistry
- The parameters uncertainty inflation fallacy
- The Adaptive Shift Method in Full Configuration Interaction Quantum Monte Carlo: Development and Applications
- Probabilistic performance estimators for computational chemistry methods: the empirical cumulative distribution function of absolute errors
- Automated construction of quantum-classical hybrid models
- Self-Parametrizing System-Focused Atomistic Models
- Tailored Coupled Cluster Theory in Varying Correlation Regimes
- Transcorrelated Density Matrix Renormalization Group
- Statistical Analysis of Semiclassical Dispersion Corrections
- Probabilistic performance estimators for computational chemistry methods: Systematic Improvement Probability and Ranking Probability Matrix. I. Theory
- Quantum System Partitioning at the Single-Particle Level
- H as a five-body problem described with explicitly correlated Gaussian basis sets
Cited by in corpus (6)
- Quantum Computing for Molecular Biology
- Universal QM/MM Approaches for General Nanoscale Applications
- High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation
- Prediction uncertainty validation for computational chemists
- Heuristics and Uncertainty Quantification in Rational and Inverse Compound and Catalyst Design
- The Transferability Limits of Static Benchmarks