Abstract: Product design involves the conceptualization and creation of products, where simulation workflows often require dynamic scheduling. Although deep reinforcement learning has shown ...

School of Physics, University of Sydney, Sydney, NSW 2006, Australia ARC Centre of Excellence for Engineered Quantum Systems, University of Sydney, Sydney, NSW 2006, Australia ARC Centre of Excellence ...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long documents can quickly ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

ABSTRACT: Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random ...

I'm learning how to use MyoSuite for biomechanical studies and musculoskeletal simulations and I was trying to adapt the Inverse dynamics tutorial to the MyoLeg model. I have problems in computing the ...

In order to estimate the effective storage capacity of carbon dioxide in geological storage, it makes great significance to understand the seepage mechanism of flowing carbon dioxide fluid and its ...

1 School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan, China 2 State Key Laboratory of Mining Responses and Disaster Prevention and Control in Deep Coal ...

Ansys ANSS has unveiled its latest artificial intelligence (AI)-driven software, Ansys SimAI, that blends the precision of Ansys simulation with the rapidity of generative AI. Ansys SimAI is a ...