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Rice University builds flood alert system that could help save lives

Rice University builds flood alert system that could help save lives
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Rice University builds flood alert system
HOUSTON – Engineers at Rice University have developed a new flood alert system that can help predict where it could flood and help people safely evacuate before the water gets too high.
“What we do is we take the rain that’s falling, we measure that really, really accurately and we use that to predict the inundation levels,” said Dr. Phil Bedient, with Rice University’s Department of Civil and Environmental Engineering.
Bedient, is the director of the SPPEED Center, Severe Storm Prediction Education and Evacuation from Disaster. ....

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Rice University crafts pivotal new Houston flood tracking system

Rice University crafts pivotal new Houston flood tracking system
The recent Houston deluge is a sobering reminder of the constant potential of flooding here, especially in at-risk areas. To that end, a local university has devised a new tool to tackle high water threats in vulnerable spots.
Engineers at Rice University have crafted a new radar-based flood assessment, mapping and early-warning system to help planning for and responding to flooding at Houston hospitals and other critical facilities, namely on the watersheds of Brays, Sims, Hunting and White Oak bayous.
Dubbed the
Flood Information and Response System (FIRST), the system covers several flood-prone and at-risk communities, including Kashmere Gardens, Gulfton, and Sunnyside, a press release notes. ....

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Neural nets used to rethink material design

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IMAGE: Engineers at Rice University and Lawrence Livermore National Laboratory are using neural networks to accelerate the prediction of how microstructures of materials evolve. This example predicts snowflake-like dendritic crystal growth..
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Credit: Mesoscale Materials Science Group/Rice University
HOUSTON - (April 30, 2021) - The microscopic structures and properties of materials are intimately linked, and customizing them is a challenge. Rice University engineers are determined to simplify the process through machine learning.
To that end, the Rice lab of materials scientist Ming Tang, in collaboration with physicist Fei Zhou at Lawrence Livermore National Laboratory, introduced a technique to predict the evolution of microstructures structural features between 10 nanometers and 100 microns in materials. ....

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