SCILIGHT
Predicting solar energy output with machine learning
Using machine learning, satellite-derived data can be integrated with ground-measured data to generate accurate solar radiation estimates, enabling the implementation of solar technology in developing countries.
Machine learning reveals properties of molten salts
Potential avenues to improving some thermal energy storage systems found through a machine learning-enhanced method.
Predicting properties of aminated associated polymers as they age
Drawing on differential scanning calorimetry, infrared microscopy and small-angle X-ray scattering can help predict shelf life of self-healing adhesives and how to optimize firmness.
Employing generative AI to optimize fusion experiments
Artificial intelligence can effectively explore large parameter spaces and suggest unconventional approaches for improving efficiency.
Would the bat signal actually work?
Exploring optics fundamentals with a pop culture icon.
Developing methane pyrolysis as a viable alternative for hydrogen production
Methane pyrolysis using molten media can produce hydrogen with no greenhouse gas emissions.
