Our Insights

Everyone’s talking about LLMs, but the real next wave is AI for the physical world—AI that understands fluid dynamics, thermodynamics, electromagnetism, and even quantum physics. From breakthroughs like DeepMind’s AlphaFold in protein folding to NVIDIA’s AI weather forecasting, industries from renewable energy to materials science are being transformed. But experimental data isn’t always enough; numerical simulations are crucial to generate high-quality datasets that power scientific AI. At Inductiva.AI, we’re offering a computational platform to democratize physics dataset generation, combining open-source simulators with cloud HPC, making it as easy as running a Python script. Explore how AI and scientific computing are converging—and what it means for the future of innovation.

Hugo Penedones

Struggling to compile FVCOM? Our step-by-step manual tackles common errors and provides solutions for running FVCOM on a modern machine.

Maya Hershey

Paulo Barbosa

Discover how you can tap into Inductiva API´s functionalities to package and share your complex simulation applications, allowing others to make use of them without requiring in-depth domain knowledge or having to set up their own computational resources.

Maya Hershey

Rodrigo Valério

Hugo Penedones

Luís Sarmento