ABM is a form of decentralised modelling, meaning that the behaviour of a complex system is determined by the interactions ... A given ABM can use real data to drive the simulation dynamics (ie, ...

Quickly screen large amounts of possible materials for specific properties and select promising candidates for deeper ...

two dynamic DHN modeling frameworks are presented: a detailed simulation model and a control-oriented one. The simulation model allows the development of lightweight dynamic DHN simulators, accurately ...

Objectives: To describe the components of an emergency and urgent care system within one health authority and to investigate ways in which patient flows and system capacity could be improved. Methods: ...

Through the rational dynamics analysis of the inverted pendulum system, the optimization model of this system is established based on Modelica language. Using a simultaneous optimization method based ...

A new concept of kinetic modules in biochemical networks could revolutionize the understanding of how these networks function ...

Imagine cells navigating through a complex maze, guided by chemical signals and the physical landscape of their environment.

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

Ansys and NVIDIA partnered to deliver real-world, physics-based simulation to NVIDIA’s Omniverse. Why real-world, ...

The global Open Source Intelligence (OSINT) market was valued at USD 8.69 billion in 2024 and is projected to reach USD 46.12 billion by 2034, growing at a CAGR of 18.01% during the forecast period.