We combine leading researchers in atmospheric sciences and ambient particle formation studies with leading scholars in fields of artificial intelligence and machine learning to generate a virtual laboratory composed of multitude of digital twins of real-life instruments commonly used to inspect the state of the atmospheric environment. This virtual laboratory approach is required to tackle the huge combinatorial problem related to atmospheric particulate matter formation and evolution. Ultimately this methodology will allow us to ask grand "what if" questions, and finally, to resolve the processes controlling ambient new particle formation and growth under various experimental conditions relevant to Earth's atmosphere.
University of Helsinki
University of Eastern Finland, Aalto University and Tampere University