Applied Mathematics
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Models explain mysterious feature controlling magnetic properties of the Sun
UC Santa Cruz applied mathematicians produced the first self-consistent models of the Sun’s tachocline incorporating the correct dynamical ingredients.
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A data-driven model to help avoid ecosystem collapse
New study gives conservationists a simpler, general approach for predicting an ecosystem’s tipping point and what comes next
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AI is good at weather forecasting. Can it predict freak weather events?
New study tests neural networks’ ability to handle ‘gray swan’ events.
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Pest prediction and management improved with better modeling
With new research, applied mathematicians at UC Santa Cruz introduce methods to improve the forecasting of pest populations
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Experts on drone research discuss future challenges and opportunities at UC Santa Cruz Silicon Valley campus
An interdisciplinary and multi-institutional group of academics, researchers, and practitioners discussed challenges and opportunities in using drones at an event hosted at the UC Santa Cruz Silicon Valley campus on Friday, September 27.
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Baskin Engineering welcomes a cohort of 12 new faculty
Twelve new faculty members join the Baskin School of Engineering for the 2024-25 academic year.
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ARCS Foundation 2024 scholarships support outstanding graduate students in science and engineering
Sixteen outstanding UC Santa Cruz graduate students in science and engineering fields earned scholarships worth a total of $180,000 from the Achievement Rewards for College Scientists (ARCS) Foundation for the 2024-25 academic year.
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UC Santa Cruz research will harness advanced AI to better measure, predict climate-change impacts
Two UC Santa Cruz research projects designed to leverage advanced forms of artificial intelligence to improve how scientists measure and predict the effects of climate change have won funding from a $20 million investment by the National Science Foundation.
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Researchers win best paper award for introducing new AI method for minimum-effort materials engineering
UC Santa Cruz researchers devised a new method for materials engineering that incorporates novel mathematical and deep learning techniques which won them the prestigious 2024 O. Hugo Schuck Best Application Paper Award from the American Automatic Control Council.


