JULY 7-12, 2024
This symposium will bring together more than 40 global experts in the fields of deep learning and quantum materials (theory, simulations and experiments) for an extensive five-day discussion geared towards the advancement of quantum materials research using AI techniques. The symposium will take stock of the ongoing research efforts under the banner of various machine learning methods and their applications to quantum materials research in order to leverage the upcoming leap in capability due to proposed exa-scale computing systems, AI and machine learning methods, novel material synthesis and characterization techniques and experimental facilities. Ultimate goal is to use deep learning methods to accelerate discovery of novel quantum materials for future technologies including quantum computing and information.
