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A University of Maryland atmospheric scientist has spent his career, in part, studying aerosol impacts on clouds, precipitation, and climate.
As a postdoc in the Center for Functional Nanomaterials, Wang focused her research on creating biomaterials using DNA-based assembly approaches.
The 2020 Jefferson Science Associates Thesis Prize has been awarded to Weizhi Xiong for his work on proton charge radius measurement.
Scientists are using machine learning to speed up development of materials that can harness energy from sunlight.
The study offers a detailed view of Americans’ fuel spending as it relates to income, quantifying the energy burden for over 74,000 Census tracts.
A new study demonstrates a long-predicted process for generating matter directly from light.
A new paper in Nature Reviews Physics highlights growing adoption of autonomous data collection across multiple science areas.
Teaching machine learning the basics of accelerator physics is particularly useful in situations where actual data don’t exist.
A radar meteorologist drawn to convective clouds has a knack for open-source programming and the gift of gab.
Scientists developed an automated approach for experiments to intelligently explore complex scientific problems, with minimal human intervention.