Results 61 to 70 of about 3,744,625 (291)
Approach to ergodicity in Monte Carlo simulations
Physical Review E, 2000 17 Pages, 7 ...
Neirotti, J. P. +2 more
openaire +5 more sources
Monte Carlo simulation of silicon-germanium transistors [PDF]
, 2002 Self-consistent Monte Carlo simulation studies of n-channel Si/SiGe modulation doped field effect transistors (MODFETs) and silicon-on-insulator lateral bipolar junction transistors (SOI- LBJTs) are reported in this thesis. As a preliminary to the device
Yangthiasong, Anucha +1 more
core
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Spreadsheet Data Resampling for Monte-Carlo Simulation
Spreadsheets in Education, 2008 The pervasiveness of spreadsheet software resulted in its increased application as a simulation tool for business analysis. Random values generation supporting such evaluations using spreadsheets are simple and yet powerful. However, the typical approach
Thin Yin Leong, Wee Leong Lee
doaj
Monte Carlo investigation of S-values for 111In radionuclide therapy
Brazilian Journal of Radiation Sciences, 2023 Novel therapeutic strategy in radionuclide therapy use cell-penetrating monoclonal antibodies to carry Auger-emitting radionuclides into the cells. Estimation of dose in normal and tumor cells are important to investigate the efficacy and toxicity of ...
Masoud Jabbari, S Pandesha
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Monte Carlo simulation on transputer arrays
Parallel Computing, 1988 A Monte Carlo simulation of a simple two-dimensional spin system as representative of a range of theoretical physics problems, is arranged for parallel computation by a multi-processor (transputer) array. Two essentially different types of decomposition; ``geometric'' where each processor handles a small sector of the physical system, and ``algorithmic'
Pritchard, D J +8 more
openaire +5 more sources
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Monte Carlo simulation of grain growth
Materials Research, 1999 Understanding and predicting grain growth in Metallurgy is meaningful. Monte Carlo methods have been used in computer simulations in many different fields of knowledge. Grain growth simulation using this method is especially attractive as the statistical
Paulo Blikstein +1 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source