# Computational Science

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to computational science.

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• ### Argonne collaboration advances applications of AI in health care

AI techniques today leave sensitive patient data at risk of being exposed. Learn how Argonne is collaborating with organizations to overcome this challenge and expand the use of AI within health care.

Argonne has received $3 million in funding to develop artificial intelligence and machine learning technology that has the potential to tackle some of the country’s biggest data challenges. • ### Using Artificial Intelligence to Help Manufacturers Slash Product Design Time and Cost • ### A summer of coding, research and fun: a Q&A with participants in Argonne’s 2021 summer camps Find out from our summer students how Argonne’s camps have reshaped their interest and journeys in science, technology, engineering and mathematics (STEM) • ### Predicting the future of the Earth with artificial intelligence AI offers additional possibilities, greater accuracy for climate models. • ### Innovative models predict effects of climate change on nor’easters Argonne-developed high-resolution models predict the effect of climate change on the extratropical storms that bear down on the Northeast in the winter. • ### CodeGirls experience the rich potential of coding and computing science at Argonne Through exposure to supercomputers and female scientists, middle school students discovered the diverse possibilities of computing and became engaged in pursuing science, technology, engineering and mathematics pathways. • ###$1.2 million award helps Argonne steer manufacturers toward supercomputing

Argonne is using its computing power and expertise to help U.S. companies improve energy efficiency in manufacturing and materials development.
• An atomistic simulation toolkit for bridging length and time scales.Invention: Multi-fidelity scale bridging between various flavors of molecular dynamics (i.e. ab-initio, classical and coarse-grained models) has remained a long-standing challenge.