This article describes a multi-modal method using simulated Lidar data v...
Machine Learning systems have achieved outstanding performance in differ...
Accurate simulation of granular flow dynamics is crucial for assessing
v...
Data-driven discoveries require identifying relevant data relationships ...
The widespread adoption of large language models (LLMs), such as OpenAI'...
The simulation of soil-structure interaction problems involving two-phas...
Individual particle rotation and displacement were measured in triaxial ...
We develop a PyTorch-based Graph Network Simulator (GNS) that learns phy...
We present a novel method of using explainability techniques to design
p...
This paper presents a frequency-velocity convolutional neural network (C...
In situ visualization techniques are hampered by a lack of foresight: cr...
Shear stress history controls the pore pressure response in liquefiable
...
Visualizing regional-scale landslides is the key to conveying the threat...
Geothermal heat, as renewable energy, shows great advantage with respect...
Traffic congestion across the world has reached chronic levels. Despite ...
In this paper, we describe a new scalable and modular material point met...