FEATURED EVENT
Virtual Open House: Machine Learning for Materials Informatics
Machine Learning for Materials Informatics is a four-day, live virtual course taught by MIT Professor Markus J. Buehler. Participants will learn how to speed their design process and streamline prototyping in their organization, from the molecular to the macro level. Professor Buehler will introduce the foundations of materials informatics and lead a variety of labs using tools like Pytorch and TensorFlow. By the end of the course, learners will have the codes and templates they need to build their own AI platforms. Join our Virtual Open House to learn more about this course.