Molecules in our cells are in constant motion. Many of them act as tiny machines and carry out a delicate choreography to achieve their tasks. To understand the basic processes of life, we must observe and reconstruct this molecular motion. We can take detailed, atomic-level photographic images, but this is not enough. We need to interpret these images as 3-dimensional structures, and then as sequences that follow their motions as they evolve to carry out their work. In this lecture, Axel Levy will explain how we construct these sequences, applying artificial intelligence to databases of millions of images to capture the fine details of the dances of molecules in action.
Past
Event
· Public Lecture
Capturing Molecular Motion using Artificial Intelligence
Presented by Axel Levy
About Axel Levy
Axel Levy is a graduate student in Electrical Engineering at Stanford University. Originally from France, he obtained his Master's degree in Physics from the Ecole Polytechnique in 2021. Here at Stanford, he is advised by Michael Dunne, the director of SLAC's Linac Coherent Light Source (LCLS), and by Gordon Wetzstein, the head of the Stanford Computational Imaging Laboratory. He finds it fascinating that his project brings together different disciplines and connects seemingly unrelated problems by combining physics concepts together with the tools of artificial intelligence.
Past
Event
· Public Lecture
Capturing Molecular Motion using Artificial Intelligence
Presented by Axel Levy
Public Lectures
Capturing molecular motion using artificial intelligence
April 6, 2023
Public lecture presented by Axel Levy
SLAC National Accelerator Laboratory
Thursday, April 6, 2023
7:00–8:00 p.m. PDT
7:00–8:00 p.m. PDT