We co-produce climate information and services based on predictions for timescales ranging from weeks to decades and beyond.
We develop timely air quality information and services based on atmospheric modelling, including daily forecasts of air pollutants, and sand and dust.
A novel framework for the design and operation of AI applications in computing continua
A task-based programming models that is able to parallelize applications for distributed platforms.
A classical machine learning library developed on top of PyCOMPSs.
Safe and Trustworthy AI in critical systems
Technologies that simulate waves in 2 and 3 dimensions
Implement multiple protein structure prediction techniques
Enzymes for microplastics degradation
Molecular visualizer and flow manager
Virtual Environment and Tool-Boxing for Trustworty Development of RISC_V Based Cloud Services
Integrating open-source software and hardware
Extreme Near-Data Processing Platform
Development of a cybersecurity technology
Development of a DNA methylation kit for predicting the response to CAR T-cell therapy
Tailored Simulation Solutions & Digital Twins Creation Leveraging Kratos Multiphysics
High-performance professional data compression software
Gaia Map of the Brightness Of Natural Sky
Structure-based simulation of exciton states and excitation transfer dynamics from combined multiscale MD and QMMM simulations to allow rational design.
Assessment of protein-ligand binding sites/modes and protein conformational preferences through FRET experiments and multiscale simulations
Novel synthesizable hits from a limitless space
Platform for simulation tools based in cloud architecture
Helping the scientific community stay on top of the latest research in climate change
Atmospheric dust forecast solution for solar energy
Wearable air pollution filter device & air quality monitoring system
Personalizing medicine through large-scale genetic calculations
Ambience intelligence to care for your loving ones
Guiding researchers on their AI journey
AI-Based platform for the identification and prediction of antibiotic resistance
Deploying, monitoring, and evaluating generative AI models
Subsurface exploration tools for geo-resources
Monitoring in real time industrial assets and structures
Histogram generation, and corresponding device and use
Materials Science, Heterogeneous Catalysis and Electrocatalysis
A computational framework
Low-power High-Performance Computing
Easy integration of existing RTL models
Volcanic ash dispersal modelling
Distributed data store
Execution-driven simulator based on the open-source RISC-V
Hardware/software co-design acceleration
Design custom RISC-V instruction set
Multi-tenant data stream processing
Pseudo-Spectral algorithm for Multiparameter wave Equation
Calculation of rmsd collective operations
Predict T-cell recognition and immunogenicity of neoantigens
Bioinformatic tool to aid in protein cleavage predictions
Preparing distributed environments for arbitrary code execution
Big Data Benchmarking platform
Predictive control in adaptive optics
Alya is a high performance computational mechanics code to solve engineering coupled problems.
A python script that describes the steps to determine the physical parameters to be applied for the generation of unstructured and adapted meshes for electromagnetic modeling.
A benchmark suite in the form of an application developed and implemented to represent some of the state-of-the-art Autonomous Driving modules which are using deep learning-based approaches.
The ASPECT multi-annual Shiny app provides climate and drought forecasts for Catalonia, displaying forecast quality by region, period, and variable.
Library for the location and identification of single atoms in electron microscopy images.
Autosubmit is a Python-based workflow manager to create, manage and monitor complex tasks involving different substeps, such as scientific computational experiments.
Memory controller that is used to control the operation of an external SDR SDRAM from a processor core.
Tool for launching experiments in HPC clusters and collect their results creating csv files
Open source software for innovative research of materials and
macro-molecular systems at the nanoscale
High Performance Computing library for modeling biological microenvironments
