From atoms to reactors, new modeling approach could sharpen catalyst design

In a recent article, researchers from the University of Jyväskylä, Finland, emphasize the importance of multiscale modeling of catalysis in understanding and developing (electro)chemical processes.
Frontiers

Robotics at a Crossroads: AI-Based vs Classical Methods in Control, HRI, and Autonomy

The field of robotics is undergoing a profound transformation driven by rapid advances in artificial intelligence, particularly large language models and ...

Q&A: What AI actually does in diffusion models for drug design

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...
Frontiers

Computational modelling and AI for Brain and Behaviour: integrating prediction with inference

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

AI In Chemical Discovery: Why Data Generation Matters More Than Model Architecture

For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...