AI-PLATFORM FOR AUTOMATED TRAINING OF OBJECT DETECTION MODELS BASED ON CAD DATA
Deep learning object detection is increasingly used in industrial applications, but its training requires a huge number of images and the objects that can be recognized are limited. This experiment […]
AI/ML COMPUTER VISION FOR THE NEXT GENERATION POULTRY FARMS
Researchers from consortium engaged poultry farms to understand their business challenges and propose an IoT-based management solution. They used HPC and deep learning AI to create prediction models for edge […]
ADVANCED HPC BASED DRUG DISCOVERY WITH CONVERGED DEEP PHYSICS AND AI
A unified HPC framework aims to reduce structure generation time, binding free energy calculation time, and computing costs in the pharmaceutical industry, reducing discovery time by 25% and costs by […]
HPC for canned food dynamics
The COVID-19 pandemic has increased demand for canned food, particularly sterilization equipment. This project proposes an innovative tool using OpenFOAM and HPC to aid design and manufacturing processes of autoclaves, […]
High-performance computing for profile extrusion
This experiment aims to develop a computational framework for profile extrusion die design in HPC facilities, reducing development costs and time to market. The consortium includes manufacturing, research, and engineering […]
Ozone and dissolved air flotation systems
3D-CFD simulations will be used to improve an ozonation reactor and a dissolved air flotation reactor in wastewater treatment plants. The goal is to reduce investment and operational costs, improve […]
Cloud-based architectural acoustic simulations
The experiment explores Treble Technologies’ proprietary acoustic simulation technology, which uses high-performance processing and innovative numerical methods, to revolutionize building design. This could reduce risk, cut costs, enhance design quality, […]
HPC-based platform for low-emissions hydrogen combustors
The project showcases an HPC-based computational platform for designing cleaner, more efficient power generation systems. It uses high-fidelity simulations to develop low-NOx burners with hydrogen mixtures, testing hydrocarbon fuels and […]
SIMULATION OF POWDER SEGREGATION IN CORED-WIRE MANUFACTURING
SIMPSEG will use HPC DEM simulation to predict segregation during the production of a cored wire. First, the powder flow will be studied experimentally and numerically to calibrate the parameters […]
IMPROVING GRAPHENE-EPOXY MIXING RECIPES WITH HPC SIMULATIONS
This project uses HPC for optimizing parameters such as constituent type and ratio in epoxy-GO nanocomposites, to maximize their physical and mechanical properties. Parameters for a homogeneous repeatable producing process […]