The modelling and simulation research team at the NRC's Automotive and Surface Transportation Research Centre is a leader in ...

Jul 18, 2025 Advancing protein simulation with Machine Learning CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

A new technical paper titled “DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design” was published (preprint) by researchers at UCSB and Cadence. Abstract “Thermal issue is ...

This method could transform the 3D printing process. The method uses various imaging and machine learning techniques to detect the generation of pores in real time with near-perfect accuracy.

More information: Sandro Wieser et al, Machine learned force-fields for an Ab-initio quality description of metal-organic frameworks, npj Computational Materials (2024). DOI: 10.1038/s41524-024 ...