Beilstein Bozen Symposium 2022 — Simulation and AI in the Future of Science

Every day, enormous amounts of experimental and theoretical data are becoming available in the diverse research fields. For example, in chemistry the chemical space is explored, in physics the fundamental structures of particles that make up the world we know are examined, and in biology the paradigm is studied that leads from the DNA to structure, function and regulation.

Assuming the requirements for both high quality and access to data are met, the perspectives for the computational approach are promising but also raise a number of questions which will be addressed in the symposium.

Topics: artificial intelligence, machine learning, modelling, simulation, quantum mechanics, drug discovery, retrosynthesis, prediction, complexity