Monte Carlo Analysis for Investment Risk Assessment

Discover how Monte Carlo analysis helps investors assess risk and make informed decisions. Explore its role in generating ...
Dot Physics on MSN

Python physics lesson 19: Learn how Monte Carlo approximates pi

Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...
GitHub

Spower: Power Analyses using Monte Carlo Simulations

Spower Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment ...
IEEE

Hybrid AI-Thermal Model Trained via Monte Carlo Simulations to Study Self-Heating Effects

Abstract: This article presents a hybrid artificial intelligence (AI)-thermal model for the determination of the current and lattice temperature of a device under a given bias voltage. The model is ...
IEEE

Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis

Abstract: This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic ...
Frontiers

Arbor-TVB: a novel multi-scale co-simulation framework with a case study on neural-level seizure generation and whole-brain propagation

Computational neuroscience has traditionally focused on isolated scales, limiting understanding of brain function across multiple levels. While microscopic models capture biophysical details of ...