Smooth subgrid fields underpin rigorous closure in spatial discretisation of reaction–advection–diffusion PDEs
Sign Up to like & getrecommendations! Published in 2018 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2018.05.011
Abstract: Finite difference/element/volume methods of discretising PDEs impose a subgrid scale interpolation on the dynamics. In contrast, the holistic discretisation approach developed herein constructs a natural subgrid scale field adapted to the whole system out-of-equilibrium dynamics.… read more here.
Keywords: diffusion pdes; closure; advection diffusion; reaction advection ... See more keywords
An optimised logarithmic discretisation approach for accurate and efficient compact thermal models
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.01.094
Abstract: Abstract The accuracy of building energy simulations is of considerable interest as discrepant results can elicit adverse financial and environment consequences. The physical and temporal scales considered within building energy applications necessitate compact modelling approaches.… read more here.
Keywords: discretisation approach; logarithmic discretisation; accurate efficient; optimised logarithmic ... See more keywords
Application of an improved discretisation method for the rotor-bearing assembly in the radiated noise analysis using Riccati transfer matrix method
Sign Up to like & getrecommendations! Published in 2017 at "Iet Electric Power Applications"
DOI: 10.1049/iet-epa.2017.0107
Abstract: An improved discretisation method relative to the geometric dimensions of the rotor-bearing system in the calculation of its critical speeds using the transfer matrix method (TMM) is introduced to enhance the computation precision. This work… read more here.
Keywords: discretisation method; analysis; method; improved discretisation ... See more keywords
Intrinsically smooth discretisation of Connolly's solvent-excluded molecular surface
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Physics"
DOI: 10.1080/00268976.2019.1644384
Abstract: The switching/Gaussia (SWIG) algorithm for intrinsically smooth discretisation of the van der Waals cavity surface, for use in implicit solvation modelling, is extended here to the case of the solvent-excluded surface (SES), also known as… read more here.
Keywords: intrinsically smooth; discretisation; surface; smooth discretisation ... See more keywords
Discretisation originated Peierls–Nabarro barriers in simulations of ferroelectrics
Sign Up to like & getrecommendations! Published in 2018 at "Phase Transitions"
DOI: 10.1080/01411594.2018.1515434
Abstract: ABSTRACT We have analysed domain-wall-motion-related energy barriers, which originate from the regular discretisation grid utilised in phase-field simulations of ferroelectric materials. We develop three approaches to determine the barrier height, and we demonstrate these on… read more here.
Keywords: barriers simulations; originated peierls; nabarro barriers; discretisation originated ... See more keywords
Discretisation of conditions in decision rules induced for continuous data
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0231788
Abstract: Typically discretisation procedures are implemented as a part of initial pre-processing of data, before knowledge mining is employed. It means that conclusions and observations are based on reduced data, as usually by discretisation some information… read more here.
Keywords: decision rules; discretisation conditions; data discretisation; rules induced ... See more keywords
A new method for controlling an induction motor using a hybrid discretization model predictive field orientated control
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0267459
Abstract: The dynamic performance of the Model Predictive Control (MPC) of an Induction Motor (IM) relies on the accuracy and computational efficiency of the Discretisation Technique (DT). If the discretisation process is inaccurate or slow approximation,… read more here.
Keywords: induction motor; predictive field; method; model predictive ... See more keywords
Adaptivity in Bayesian Inverse Finite Element Problems: Learning and Simultaneous Control of Discretisation and Sampling Errors
Sign Up to like & getrecommendations! Published in 2019 at "Materials"
DOI: 10.3390/ma12040642
Abstract: The local size of computational grids used in partial differential equation (PDE)-based probabilistic inverse problems can have a tremendous impact on the numerical results. As a consequence, numerical model identification procedures used in structural or… read more here.
Keywords: finite element; error; control; inverse ... See more keywords
lumpR 2.0.0: an R package facilitating landscape discretisation for hillslope-based hydrological models
Sign Up to like & getrecommendations! Published in 2017 at "Geoscientific Model Development"
DOI: 10.5194/gmd-10-3001-2017
Abstract: Abstract. The characteristics of a landscape pose essential factors for hydrological processes. Therefore, an adequate representation of the landscape of a catchment in hydrological models is vital. However, many of such models exist differing, amongst… read more here.
Keywords: package; landscape discretisation; hillslope based; landscape ... See more keywords