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18 results with keyword: 'learning quantum monte carlo method interacting fermion systems'

Self-learning quantum Monte Carlo method in interacting fermion systems

point, configurations of Ising spins generated by local updates become strongly correlated, as shown by the autocorrelation function of Ising spin in Fig.. 1(b) for L = 16, and it

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2021
Quantum Monte Carlo Study of Weakly Interacting Many-Electron Systems

To illustrate the nature of the large variance problem when using certain GTO basis set/pseudopotential combinations, we summarize in Table 7.1 the energies and

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2021
Novel Quantum Monte Carlo Approaches for Quantum Liquids

In this thesis, I present two new quantum Monte Carlo techniques, the Monte Carlo Power Method and Bose-Fermi Auxiliary-Field Quantum Monte Carlo, and apply previ- ously developed

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7eff530ab023a50e9e40e31cd353a2d485b43c27.pdf

Troyer, R´ enyi Entanglement Entropy of Interacting Fermions Calculated Using the Continuous- Time Quantum Monte Carlo Method , Phys. Alet, Im- proving entanglement and thermodynamic

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2020
Quantum Monte Carlo Methods applied to strongly correlated and highly inhomogeneous many-Fermion systems

The points display the computed diffusion for the unpolarized liquid (dots), polarized liquid (squares), localized (triangles) and polarized solid (diamonds) phases.... In both

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2020
Nottinghamshire Local Transport Plan Evidence Base Report

Table 14 below details the percentage of households with access to doctors’ surgeries by public transport within 20 and 40 minutes, whilst table 15 details the percentage of

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2021
Nottinghamshire Local Transport Plan Evidence Base Report

Figure 20: Travel times by public transport to major employment destinations in Newark & Sherwood district... Figure 21: Travel times by public transport to major

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2021
QUANTUM MONTE CARLO STUDIES OF FERMI SYSTEMS IN LATTICE EFFECTIVE FIELD THEORY

ABSTRACT QUANTUM MONTE CARLO STUDIES OF FERMI SYSTEMS IN LATTICE EFFECTIVE FIELD THEORY By Rongzheng He With the rapid growth of the computational resources, quantum Monte Carlo

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2021
A central limit theorem for adaptive and interacting Markov chains

A Functional Central Limit Theorem for a class of Interacting Markov Chain Monte Carlo Methods.. Sequentially interacting Markov chain Monte

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2021
Quantum Monte Carlo for Transition Metal Systems: Method Developments and Applications

I generalized the implementation of the force methods using Reptation Monte Carlo, tested several methods consistently, and found none of them accurate enough on transition

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2020
A New approach for Solving Transportation Problem

Suppose there are m factories called origins or sources produce aI (i=1,2……,m) units of products which are to be transported to n destinations with bJ (J=1,2,……,n) unity of

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2020
Reliable seismic collapse assessment of short-period structures using new proxies for ground motion record selection

Collapse fragility curves obtained for the 6-story structure using the ground motion record bins selected based on the considered proxies: (a) Target " Sa value = 0.8 and (b)

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First principles quantum Monte Carlo study of correlated electronic systems

In this thesis, we apply first principles quantum Monte Carlo (QMC) method to several representative systems to study the electron correlations in transition metal oxides

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2021
Ultra-fast Carrier Transport Simulation on the Grid. Quasi-Random Approach

Key words: ultra-fast carrier transport, Monte Carlo methods, quasi-Monte Carlo, scrambled Halton, Sobol and Niederreiter sequences, grid computing.. The Monte Carlo Methods for

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2020
Torsional path-integral Monte Carlo method for the quantum simulation of molecular systems

path integral Monte Carlo theory to the torsional degrees of freedom in the molecules. ethane, n-butane, n-octane,

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2020
Nottinghamshire Local Transport Plan Evidence Base Report

Many of the surviving habitat fragments receive some form of nature conservation designation, either as Sites of Special Scientific Interest (SSSIs), or as Sites of Importance

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Applications of the Fixed-node Quantum Monte Carlo Method.

Typically, the trial wave function optimization involves the optimization of the coefficients in the determinant expansion of the Slater part, basis functions in the Jastrow

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A Study of the Errors of the Fixed-Node Approximation in Diffusion Monte Carlo.

Chapter 6 Impact of electron density on the fixed-node errors in Quantum Monte Carlo of atomic

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2020

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