Luís Sarmento

Luís Sarmento

Ivan Pombo

Ivan Pombo

Maya Hershey

Maya Hershey

Discover the 3D model mesh resolution threshold that still yields stable and dependable estimations of physical properties in engineering simulations.

Hugo Penedones

Hugo Penedones

Luís Sarmento

Luís Sarmento

The Inductiva API v0.5 release brings two New Simulators, Up-to-date GCP pricing information, additional features on Command Line Interface, more Metrics and Benchmarks, a Template Manager and more revamped Documentation. Additionally we are open sourcing all the scientific software containers we are using in our backend - Project KUTU.

Luís Sarmento

Luís Sarmento

Ivan Pombo

Ivan Pombo

Sérgio Santos

Sérgio Santos

Maya Hershey

Maya Hershey

Explore the impact of adjusting simulation hyperparameters like particle radius on the simulation's computational cost and runtimes.

Luís Sarmento

Luís Sarmento

Ivan Pombo

Ivan Pombo

Sérgio Santos

Sérgio Santos

Maya Hershey

Maya Hershey

Learn how to generalize the "base case" simulation script using Inductiva's Templating Engine to modify parameters programmatically directly from your Python code.

Luís Sarmento

Luís Sarmento

Ivan Pombo

Ivan Pombo

Sérgio Santos

Sérgio Santos

Maya Hershey

Maya Hershey

Explore available computational resources through the Inductiva API and learn how to choose more powerful hardware to run the "base case"

Luís Sarmento

Luís Sarmento

Ivan Pombo

Ivan Pombo

Sérgio Santos

Sérgio Santos

Maya Hershey

Maya Hershey

Dive into the first crucial step of synthetic data generation and learn how to define your "base case" simulation model.

Luís Sarmento

Luís Sarmento

Ivan Pombo

Ivan Pombo

Sérgio Santos

Sérgio Santos

Maya Hershey

Maya Hershey

Learn how to generate large-scale synthetic datasets for Physics-ML models using the Inductiva API, starting with our unique data generation recipe.

Hugo Penedones

Hugo Penedones

Luís Sarmento

Luís Sarmento

The Inductiva API v0.4 release brings MPI clusters, the latest Google Cloud CPUs, two new simulators, a lighter Python package, a CLI interface, a template engine and totally revamped documentation. Get started in minutes!

Sofia Guerreiro

Sofia Guerreiro

Cristiana Carpinteiro

Cristiana Carpinteiro

In this series of blog posts we will explore a specific case of the use of AI in the pharmaceutical industry - using Graph Neural Networks for predicting binding affinity. But for now, let’s start by understanding the problem of drug discovery and some fundamental concepts like binding affinity.

Ivan Pombo

Ivan Pombo

Luís Sarmento

Luís Sarmento

Coastal engineering projects protect the coast from erosion, flooding and other events. Due to their cost, the design phase of these projects is heavily based on computational simulations. In this blog post, we enlighten how Inductiva API allowed researchers to scale their coastal engineering simulations.

Hugo Penedones

Hugo Penedones

Luís Sarmento

Luís Sarmento

Luís Cunha

Luís Cunha

Guidelines for programming effectively and with high impact.

Bruno Ribeiro

Bruno Ribeiro

João Ribeiro

João Ribeiro

Luís Sarmento

Luís Sarmento

Hugo Penedones

Hugo Penedones

The SimuStruct dataset contains 1000 cases of 2D rectangular plates with holes under load along with measurements of von Mises stress.

Maria Castro

Maria Castro

The Fluid Cube dataset contains 100 fluid dynamics simulations of a fluid block with varying viscosity and initial shape, velocity and positions, flowing inside a unit cube domain.

Fábio Cruz

Fábio Cruz

Maria Castro

Maria Castro

Luís Sarmento

Luís Sarmento

David Carvalho

David Carvalho

Do GPUs solve sparse eigenproblems faster than CPUs? In this post, we answer this question by comparing the SciPy and CuPy eigensolvers.

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