Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...
Simulation modelling has emerged as a vital tool for understanding and managing the inherent complexity of numerous systems, from healthcare and manufacturing to logistics and business operations. By ...
Modelling and simulation form a pivotal discipline in which real‐world systems are abstracted into mathematical and computational representations. This process enables researchers to explore, predict ...
The International Atomic Energy Agency has recently initiated a project on open source nuclear codes for reactor analysis (ONCORE). The IAEA aims to support and strengthen its Member States’ capabilit ...
Within the overall objective to support the development of fast reactor technology and to extend the predictive capabilities of existing simulation tools for design and safety analysis, this ...
BEIJING, Dec. 23 (Xinhua) -- Chinese researchers have developed a new air quality model that enables more accurate simulation of two major pollutants: fine particulate matter and ground-level ozone.
MUNICH, Germany--(BUSINESS WIRE)--SimScale, the leader in cloud-native engineering simulation, today announces the launch of the world’s first foundation AI model for turbomachinery simulation. Built ...
We present the ENV-FIBA macro-micro model framework that can be used to analyze the climate-macro-financial consequences of climate scenarios and related policy counterfactuals. The model consists of ...
Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining ...
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‘Star in a jar’: UK achieves 1,000 times faster 5D plasma modeling for nuclear fusion
AI tool GyroSwin simulates fusion plasma in seconds, cutting costs and speeding the design of future fusion power plants.
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AI Ran 10,000 Simulations: Here’s XRP’s Most Likely Price on December 31, 2026
Predicting cryptocurrency prices is challenging because markets are volatile and events like regulatory changes or ETF ...
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