Assessing Excel VBA Suitability for Monte Carlo Simulation
Spreadsheets in Education, 2015 Monte Carlo (MC) simulation includes a wide range of stochastic techniques used to quantitatively evaluate the behavior of complex systems or processes. Microsoft Excel spreadsheets with Visual Basic for Applications (VBA) software is, arguably, the most
Alexei Botchkarev
doaj
Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride
Advanced Science, EarlyView.This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee +10 more
wiley +1 more source
Advances in Mechanical Engineering, 2017 Uncertainty-based design and optimization is becoming one of the research focuses for high safety of complex engineering systems. Evaluating failure probability is essential and necessary in uncertainty-based design and optimization. Reliability analysis
Rong Yuan +4 more
doaj +1 more source
leehhtw/monte-carlo-simulation-cylinder-sphere: v1.0.0
Monte Carlo simulation of diffusion in randomly packed cylinders or ...
Hong Hsi Lee
core +1 more source
Mapping the spatial sources of atmospheric dust using GLUE and Monte Carlo simulation
, 2020 Atmospheric dust has many negative impacts within different ecosystems and it is therefore beneficial to assemble reliable evidence on the key sources of the dust problem.
Rahimi, S. +4 more
core +1 more source
On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy
Advanced Science, EarlyView.An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley +1 more source
Teaching Monte Carlo Simulation in a Business Analytics Course
Spreadsheets in Education, 2021 This paper provides an example for teaching Monte Carlo simulation principles in a business analytics course. Specifically, this paper presents a spreadsheet-based Monte Carlo simulation model for a 90-day binary options investment horizon using the ...
David Perkins
doaj
Proxy simulation schemes using likelihood ratio weighted Monte Carlo for generic robust Monte-Carlo sensitivities and high accuracy drift approximation (with applications to the LIBOR Market Model) [PDF]
We consider a generic framework for generating likelihood ratio weighted Monte Carlo simulation paths, where we use one simulation scheme K° (proxy scheme) to generate realizations and then reinterpret them as realizations of another scheme K* (target ...
Joerg Kampen, Christian P. Fries
core
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Hierarchically Soft Porous MOF‐Polymer Monolith for Fast and Large‐Scale Moisture Buffering
Advanced Science, EarlyView.A soft, hierarchical porous monolith that combines metal–organic frameworks (MOFs) with a thermoresponsive polymer matrix enables rapid, large‐scale moisture buffering. The synergistic interface facilitates high‐capacity water capture and low‐energy release for sustainable indoor dehumidification.
Guangxin Ma +9 more
wiley +1 more source