Sail into Machine Learning Approach to Chemistry Emulation (MACE) and discover how a team of researchers developed an architecture trained as a surrogate model for Astrochemistry, capable of reproducing the evolution of chemical abundances in just 5% of the time required by its classical analogue counterpart.
As part of the AI/ML Developer series*, this course will inspire you to embark on the challenging journey of applying AI and ML techniques to your research, helping you enhance and streamline your workflows.
* The AI/ML Developer series covers key concepts, methods, and best practices in AI and ML, progressing from foundational principles to practical coding applications that deliver outstanding results.
Skill Level: Intermediate
