• A Machine Learning Solution for Designing Materials with Desired Optical Properties

    1 month ago - By News Center

    Controlling light-matter interactions is central to a variety of important applications, such as quantum dots, which can be used as light emitters and sensors.
    Understanding how matter interacts with light - its optical properties - is critical in a myriad of energy and biomedical technologies, such as targeted drug delivery, quantum dots, fuel combustion, and cracking of biomass. But calculating these properties is computationally intensive, and the inverse problem - designing a structure with desired optical properties - is even harder.
    Now Berkeley Lab scientists have developed a...
    Read more ...