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SMMP - Stochastic Methods for Molecular Properties

Possible titles:

- Stochastic Methods for Molecular Properties (SMMP)
Stochastic Methods for Chiroptical Properties (SMCP or ChiroStoch)

Deterministic methods need large Hilbert spaces for effective expansions of the many-electron wave function This is however largely redundant (Ivanic 2001)

Stochastic algorithms are highly parallelizable in the number of walkers. I will develop my skills in parallel programming techniques by developing this project.

Research questions:

- Understanding chiroptical properties for large chemical systems

Objectives of the project:

The calculation of molecular properties with high accuracy and for systems of relevant size

- High accuracy means coupled cluster (CC) wave functions
- Systems for which CC is an option are limited by its polynomial scaling
- It is possible to reduce the scaling,
*e.g.*by means of local approaches to the electron correlation problem, but this has been proven to not be as effective for molecular properties as for energies

Devise the appropriate stochastic approach to the solution of response equations

- We want the stochastic approach because it's (supposedly) embarassingly parallel. This can enable the study of the response properties for larger systems and provide benchmark results for lower level calculations.
- Low scaling (or better parallelization options) + (perhaps?) controllable error of stochastic methods
are the key advantages.
**Find relevant literature on both!**(Booth 2014), (Coccia 2012)

The creation of the appropriate software toolbox with good scalability.

- The toolbox will be freely available under the appropriate open source license (GPL most likely!)

General background on quantum chemistry:

- "Frontiers in electronic structure theory" (Sherrill 2010)
- Quantum chemistry as an effective complement to experiment (Lee 1995), (Helgaker 2004), (Tajti 2004), (Helgaker 2000), (Goddard 1985)

State of the art:

QMC:

- Recent reviews on QMC approaches: (Dubecký 2016), (Toulouse 2016), (Austin 2012), (Needs 2009), (Assaraf 2007), (Towler 2006) and (Foulkes 2001)
- DMC (Wick rotation of the Schrodinger equation (Wick 1954) and isomorphism with a classical diffusion problem)
- Self-Healing QMC
- Auxiliary Field QMC
- Fermion QMC
- FCIQMC
- Stochastic Coupled Cluster: Thom introduces the FCIQMC-like stochastic algorithm for solving the CC equations (Thom 2010)
The methods leverages the stochastic sampling strategies of the FCI wave function in a discrete Fock space first proposed by Alavi
*et al.*(Booth 2009) - Linked Coupled Cluster Monte Carlo: the stochastic algorithm for the solution of the CC equations in the linked (term-by-term size-extensive) form (Franklin 2016)
- Initiator approximation: the same group proposes the initiator approximation for the CCMC algorithm (Spencer 2016)
- Stochastic Møller-Plesset (Thom 2007)
- Local approaches to QMC (Manten 2003), (Williamson 2001)

Properties by QMC

- Dynamic polarizabilities (Caffarel 1993), (Mella 2001)
- Large systems (Filippi 2012), (Valsson 2010)
- Forces: correlated sampling (Filippi 2000) and space warp coordinate transformation (Umrigar 2009) Work by Assaraf and Caffarel on improved estimators (Assaraf 2000) and (Assaraf 2003)
- Static electric properties (dipole and quadrupole moments, static polarizabilities): polarizabilities by finite differences for ethyne (Coccia 2012) polarizability of the hydrogen atom by modified sampling (Li 2007)

Chiroptical properties:

- Eliel "Stereochemistry of organic compounds" (find appropriate ref)
- Barron's book (Barron 2004) Rosenfeld's formulation (Rosenfeld 1929)
- OR and ECD review by Pecul and Ruud (Pecul 2005)
- Berova's book (Comprehensive Chiropt...)
- Daniel's reviews (Crawford 2005), (Crawford 2007), (Crawford 2012)
- Octant rule (Snatzke 1979) and its failure (Rinderspacher 2004)
- Chiroptical properties by DFT (Cheeseman 2000), (Furche 2000), (Grimme 2001) (Stephens 2001) (Stephens 2002) (Grimme 2002) (Autschbach 2002) (Autschbach 2002a) (Autschbach 2003)
- Chiroptical properties by CC (Tam 2004) (Crawford 2005) (Ruud 2002) (Ruud 2003)
- Computational studies available on a variety of molecules (Tam 2006) (Kowalczyk 2006) (Crawford 2005) (Tam 2007) (Crawford 2007) (Crawford 2007a) (Wiberg 2008)(Crawford 2008) (Crawford 2009) (Pedersen 2009) (Pedersen 2009a) (Lambert 2012) (Rinderspacher 2004) (Wilson 2005) (Furche 2000) (Pulm 1997) (Kondru 1998) (Grimme 1998) (Polavarapu 1999) (Ribe 2000) (Polavarapu 2002) (Diedrich 2003) (Polavarapu 2003) (Norman 2004) (Diedrich 2004) (Stephens 2005) (Wiberg 2005) (Wiberg 2005a) (Wiberg 2006) (Autschbach 2009) (Pritchard 2010) (Mach 2011) (Mach 2014)
- Ultrasensitive Cavity Ring-Down Polarimetry (CRDP) (Wilson 2005) (Müller 2002) (Müller 2000)
- Local approaches to the correlation problem in response theory (Russ 2004) (Russ 2008)

Response theory:

- Most recent review on wave function-based response theory (Helgaker 2012)
- Foundational work (Olsen 1985), (Christiansen 1998), (Paw 2015), (Coriani 2016)
- CC response theory
- Local approaches to CC (really a lot of literature...)
- Local approaches to CC response theory (Friedrich 2015), (McAlexander 2012), (McAlexander 2016)

Problems to address:

- The fermion sign problem. How do FCIQMC and CCMC avoid it? The sign problem is NP-hard (Troyer 2005) thus not solvable in polynomial time

TODO:

- Size of the systems investigated by stochastic methods in Fock space?
- Properties by stochastic methods? VMC/DMC/FCIQMC?
- Local correlation approaches for molecular properties?
- L. Guidoni might have published some FCIQMC calculations on large molecular systems.

Joseph Ivanic, Klaus Ruedenberg. Identification of deadwood in configuration spaces through general direct configuration interaction.

*Theor Chem Acc***106**, 339–351 (2001). LinkGeorge H. Booth, Simon D. Smart, Ali Alavi. Linear-scaling and parallelisable algorithms for stochastic quantum chemistry.

*Molecular Physics***112**, 1855–1869 (2014). LinkEmanuele Coccia, Olga Chernomor, Matteo Barborini, Sandro Sorella, Leonardo Guidoni. Molecular Electrical Properties from Quantum Monte Carlo Calculations: Application to Ethyne.

*J. Chem. Theory Comput.***8**, 1952–1962 (2012). LinkC. David Sherrill. Frontiers in electronic structure theory.

*The Journal of Chemical Physics***132**, 110902 (2010). LinkTimothy J. Lee, Gustavo E. Scuseria. Achieving Chemical Accuracy with Coupled-Cluster Theory. 47–108 (1995). Link

Trygve Helgaker, Torgeir A. Ruden, Poul J, Jeppe Olsen, Wim Klopper. Apriori calculation of molecular properties to chemical accuracy.

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*Science***227**, 917–923 (1985). LinkMatúDubecký, Lubos Mitas, Petr Jure. Noncovalent Interactions by Quantum Monte Carlo.

*Chemical Reviews*(2016). LinkJulien Toulouse, Roland Assaraf, Cyrus J. Umrigar. Introduction to the Variational and Diffusion Monte Carlo Methods. 285–314 (2016). Link

Brian M. Austin, Dmitry Yu. Zubarev, William A. Lester. Quantum Monte Carlo and Related Approaches.

*Chemical Reviews***112**, 263–288 (2012). LinkR J Needs, M D Towler, N D Drummond, P López R'. Continuum variational and diffusion quantum Monte Carlo calculations.

*Journal of Physics: Condensed Matter***22**, 023201 (2009). LinkRoland Assaraf, Michel Caffarel, Anatole Khelif. The fermion Monte Carlo revisited.

*Journal of Physics A: Mathematical and Theoretical***40**, 1181–1214 (2007). LinkM. D. Towler. The quantum Monte Carlo method.

*physica status solidi (b)***243**, 2573–2598 (2006). LinkW. M. C. Foulkes, L. Mitas, R. J. Needs, G. Rajagopal. Quantum Monte Carlo simulations of solids.

*Reviews of Modern Physics***73**, 33–83 (2001). LinkG. C. Wick. Properties of Bethe-Salpeter Wave Functions.

*Phys. Rev.***96**, 1124–1134 (1954). LinkAlex J. W. Thom. Stochastic Coupled Cluster Theory.

*Phys. Rev. Lett.***105**(2010). LinkGeorge H. Booth, Alex J. W. Thom, Ali Alavi. Fermion Monte Carlo without fixed nodes: A game of life death, and annihilation in Slater determinant space.

*The Journal of Chemical Physics***131**, 054106 (2009). LinkR. S. T. Franklin, J. S. Spencer, A. Zoccante, A. J. W. Thom. Linked coupled cluster Monte Carlo.

*The Journal of Chemical Physics***144**, 044111 (2016). LinkJames S. Spencer, Alex J. W. Thom. Developments in stochastic coupled cluster theory: The initiator approximation and application to the uniform electron gas.

*The Journal of Chemical Physics***144**, 084108 (2016). LinkAlex J. W. Thom, Ali Alavi. Stochastic Perturbation Theory: A Low-Scaling Approach to Correlated Electronic Energies.

*Phys. Rev. Lett.***99**(2007). LinkSebastian Manten, Arne Lüchow. Linear scaling for the local energy in quantum Monte Carlo.

*The Journal of Chemical Physics***119**, 1307 (2003). LinkA. J. Williamson, Randolph Q. Hood, J. C. Grossman. Linear-Scaling Quantum Monte Carlo Calculations.

*Phys. Rev. Lett.***87**(2001). LinkMichel Caffarel, Michel Rérat, Claude Pouchan. Evaluating dynamic multipole polarizabilities and van der Waals dispersion coefficients of two-electron systems with a quantum Monte Carlo calculation: A comparison with some ab initio calculations.

*Phys. Rev. A***47**, 3704–3717 (1993). LinkMassimo Mella, Dario Bressanini, Gabriele Morosi. Variational Monte Carlo calculation of dynamic multipole polarizabilities and van der Waals coefficients of the PsH system.

*Phys. Rev. A***63**(2001). LinkClaudia Filippi, Francesco Buda, Leonardo Guidoni, Adalgisa Sinicropi. Bathochromic Shift in Green Fluorescent Protein: A Puzzle for QM/MM Approaches.

*J. Chem. Theory Comput.***8**, 112–124 (2012). LinkOmar Valsson, Claudia Filippi. Photoisomerization of Model Retinal Chromophores: Insight from Quantum Monte Carlo and Multiconfigurational Perturbation Theory.

*J. Chem. Theory Comput.***6**, 1275–1292 (2010). LinkClaudia Filippi, C. J. Umrigar. Correlated sampling in quantum Monte Carlo: A route to forces.

*Phys. Rev. B***61**, R16291–R16294 (2000). LinkC. J. Umrigar. Two aspects of quantum monte carlo: Determination of accurate wavefunctions and determination of potential energy surfaces of molecules.

*Int. J. Quantum Chem.***36**, 217–230 (2009). LinkRoland Assaraf, Michel Caffarel. Computing forces with quantum Monte Carlo.

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