Month: January 2024

As solar panels silently harness the sun's energy, behind the scenes, Artificial Intelligence is quietly ensuring their longevity and unwavering reliability. Our "High-throughput characterisation and modelling for PV" team is at the forefront of research aiming to enhance the reliability of sol...

On sunny days, up to 60% of the electricity in Germany is produced by photovoltaics (PV). This is good news to fight climate change, but also entails problems such as the land use by large PV fields or the question of recycling. Addressing these issues requires to devise entirely new materials for ...

Researchers at i-MEET use hybrid (physics aware) artificial intelligence to learn more about photovoltaic materials from faster and simpler experiments. For example, we can obtain performance relevant aspects of microstructure by analysing simple absorption spectra. In many cases, this helps us...

Jiyun has used fully automated SPINBOT platform for engineering solution-processed Perovskite thin films, addressing the persistent challenge of simultaneously optimizing processing parameters. SPINBOT employs unsupervised processing on hundreds of substrates, showcasing exceptional experimental co...

Larry, Marius, Vincent and Karen have explored multijunction devices and photon up-and-down conversion to enhance efficiency beyond single junction limits. Utilizing Bayesian Optimization in a simulation environment, our team predicts and optimizes the electrical performance of multi-junction archi...