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The Ungrounded Nature of Being
Emilio Carlo Corriero
Aug 29, 2018
The fact that in around 1844, and at the height of his positive philosophy period, Schelling dedicates himself to drafting a work entirely dedicated to issues in the nature-philosophy, such as the Presentation of the Process of...
Published by: Memorial University Libraries
The Ungrounded Nature of Being
Emilio Carlo Corriero
Aug 29, 2018
The fact that in around 1844, and at the height of his positive philosophy period, Schelling dedicates himself to drafting a work entirely dedicated to issues in the nature-philosophy, such as the Presentation of the Process of...
Published by: Memorial University Libraries
Inelastic scattering of electrons in water from first principles
Natalia E Koval, Peter Koval, Fabiana Da Pieve, Jorge Kohanoff, Emilio Artacho, Dimitris Emfietzoglou
Jun 29, 2022
Modelling the inelastic scattering of electrons in water is fundamental, given their crucial role in biological damage. In Monte Carlo track-structure (MC-TS) codes used to assess biological damage, the energy loss function...
Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems
We are interested in computing the expectation of a functional of a PDE solution under a Bayesian posterior distribution. Using Bayes's rule, we reduce the problem to estimating the ratio of two related prior expectations. For a...
Inelastic scattering of electrons in water from first principles
Natalia E Koval, Peter Koval, Fabiana Da Pieve, Jorge Kohanoff, Emilio Artacho, Dimitris Emfietzoglou
May 18, 2022
Modelling the inelastic scattering of electrons in water is fundamental, given their crucial role in biological damage. In Monte Carlo track-structure (MC-TS) codes used to assess biological damage, the energy loss function...
Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems
We are interested in computing the expectation of a functional of a PDE solution under a Bayesian posterior distribution. Using Bayes's rule, we reduce the problem to estimating the ratio of two related prior expectations. For a...
Anytime Monte Carlo
Abstract
Monte Carlo algorithms simulates some prescribed number of samples, taking some random real time to complete the computations necessary. This work considers the converse: to impose a...
Sphere Encapsulated Monte Carlo
We introduce a simple global optimization approach that is able to find minimum energy configurations of clusters containing aromatic molecules. The translational and rotational perturbations required in Monte Carlo-based...
Analysis of reported error in Monte Carlo rendered images.
Evaluating image quality in Monte Carlo rendered images is an important aspect of the rendering process as we often need to determine the relative quality between images computed using different algorithms and with varying...
Spin correlations in Monte Carlo simulations.
P Richardson
Feb 17, 2010
We show that the algorithm originally proposed by Collins and Knowles
for spin correlations in the QCD parton shower can be used in order to include spin
correlations between the production and decay of heavy particles in Monte...
Published by: HEP, Cavendish Laboratory, University of Cambridge
Integrated lipidomics and proteomics reveal cardiolipin alterations, upregulation of HADHA and long chain fatty acids in pancreatic cancer stem cells.
Claudia Di Carlo, Bebiana C Sousa, Marcello Manfredi, Jessica Brandi, Elisa Dalla Pozza, Emilio Marengo, Marta Palmieri, Ilaria Dando, Michael JO Wakelam, Andrea F Lopez-Clavijo, Daniela Cecconi
Sep 05, 2021
Pancreatic cancer stem cells (PCSCs) play a key role in the aggressiveness of pancreatic ductal adenocarcinomas (PDAC); however, little is known about their signaling and metabolic pathways. Here we show that PCSCs have specific...
Transitions between imperfectly ordered crystalline structures
Nigel Wilding
Jan 01, 0001
A model for two-dimensional colloids confined laterally by “structured boundaries” (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance D between the confining walls is...
Adversarial Monte Carlo Denoising with Conditioned Auxiliary Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Many previous works, including regression-based and learning-based methods, have been explored to...
SCONE
Over the last decade, the importance of the Monte Carlo as a neutron transport calculation method has greatly increased. This paper describes a Monte Carlo particle transport framework SCONE, which aims to provide with...
Transitions between imperfectly ordered crystalline structures
Nigel Wilding
Jan 01, 0001
A model for two-dimensional colloids confined laterally by “structured boundaries” (i.e., ones that impose a periodicity along the slit) is studied by Monte Carlo simulations. When the distance D between the confining walls is...
Adversarial Monte Carlo Denoising with Conditioned Auxiliary Feature Modulation
Denoising Monte Carlo rendering with a very low sample rate remains a major challenge in the photo-realistic rendering research. Many previous works, including regression-based and learning-based methods, have been explored to...
Parton distributions with scale uncertainties
Abstract
We present the MCscales approach for incorporating scale uncertainties in parton distribution functions (PDFs). The new methodology builds on the...
Continuous Level Monte Carlo and Sample-Adaptive Model Hierarchies
In this paper, we present a generalization of the multilevel Monte Carlo (MLMC) method to a setting where the level parameter is a continuous variable. This continuous level Monte Carlo (CLMC) estimator provides a natural...
math.NA CLMC Adaptivity Complexity theorem Heterogeneous elliptic PDEs Unbiased estimator multilevel Monte Carlo /dk/atira/pure/subjectarea/asjc/2600/2604 name=Applied Mathematics /dk/atira/pure/subjectarea/asjc/2600/2607 name=Discrete Mathematics and Combinatorics /dk/atira/pure/subjectarea/asjc/2600/2613 name=Statistics and Probability /dk/atira/pure/subjectarea/asjc/1800/1804 name=Statistics, Probability and Uncertainty /dk/atira/pure/subjectarea/asjc/2600/2611 name=Modelling and Simulation
Quasi-Monte Carlo methods for elliptic PDEs with random coefficients and applications
We devise and implement quasi-Monte Carlo methods for computing the expectations of nonlinear functionals of solutions of a class of elliptic partial differential equations with random coefficients. Our motivation comes from...
Unbiased reduced density matrices and electronic properties from full configuration interaction quantum Monte Carlo.
Properties that are necessarily formulated within pure (symmetric) expectation values are difficult to calculate for projector quantum Monte Carlo approaches, but are critical in order to compute many of the important observable...
lattice_mc
Benjamin Morgan
May 26, 2017
lattice_mc is a lattice-gas kinetic Monte Carlo simulation tool, written in Python. The code allows the simulation of particle transport on periodic lattices for non-interacting particles (volume exclusion only), and for...
Quasi-Monte Carlo methods for elliptic PDEs with random coefficients and applications
We devise and implement quasi-Monte Carlo methods for computing the expectations of nonlinear functionals of solutions of a class of elliptic partial differential equations with random coefficients. Our motivation comes from...
A positive-weight next-to-leading-order Monte Carlo for e<sup>+</sup>e <sup>-</sup> annihilation to hadrons
We apply the positive-weight Monte Carlo method of Nason for simulating QCD
processes accurate to Next-To-Leading Order to the case of e+e- annihilation to
hadrons. The method entails the generation of the hardest gluon emission...
lattice_mc
Benjamin Morgan
May 26, 2017
lattice_mc is a lattice-gas kinetic Monte Carlo simulation tool, written in Python. The code allows the simulation of particle transport on periodic lattices for non-interacting particles (volume exclusion only), and for...
Direct evaluation of the force constant matrix in quantum Monte Carlo.
We develop a formalism to directly evaluate the matrix of force constants within a Quantum Monte Carlo calculation. We utilize the matrix of force constants to accurately relax the positions of atoms in molecules and determine...
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