MOSKopt_Python is a Python implementation of the MOSKopt (Simulation-Based Stochastic Kriging Optimization framework), designed for chemical process optimization under uncertainty. This implementation ...
Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
Associate Professor and Chair of Classics Richard Fernando Buxton taught students in Block 5 about how warfare was conducted ...
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Mixing generative AI with physics to create personal items that work in the real world
Ever had an idea for something that looked cool, but wouldn't work well in practice? When it comes to designing things like decor and personal accessories, generative artificial intelligence (genAI) ...
A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
Abstract: Supercapacitors are ideal for short-term energy storage due to their high instantaneous power capability. Unlike traditional high-voltage DC power supplies typically used in transcranial ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: This paper presents a MATLAB/Simulink-based framework to co-simulate trajectory tracking for a dual-arm robot in the Robot Operating System (ROS) environment. Conventionally, a dual-arm ...
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