Author: Patricia DeLacey
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Tool creates transparent, automated machine learning models for nuclear energy
A new tool simplifies machine learning development for nuclear engineers while incorporating model explainability features to help improve transparency.
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Faster organic phosphorescence for better display tech
Layering an organic material on top of 2D materials achieves stable, fast phosphorescent light emission without using expensive and hazardous heavy metals.
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Burned rice hulls could help batteries store more charge
New research finds hard carbon in rice hull ash, providing a cheap, domestic source of the material that can replace graphite in lithium-ion or sodium-ion battery anodes.
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Educating People-First Engineers: A Q&A with Cindy Finelli and Erin Cech
Preparing the next generation of engineers to consider public welfare when developing new technologies.
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At $349M, research expenditures grew by 12.3% in FY 2024
‘These numbers are exciting, but at the end of the day, it’s all about impact.’
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Cancer management: Stent sensor can warn of blockages in the bile duct
New batteryless and wireless sensor tested in pigs.
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Faster, more sensitive lung cancer detection from a blood draw
Capturing nanoscale ‘packages’ that cancer cells send out, twisting gold nanoparticles use light to distinguish healthy patients from lung cancer patients.
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Twelve NSF CAREER awards received by early-career engineers
The five-year grants will support projects including energy-saving algorithms, underwater robot navigation and flexible wearable electronics.
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An OLED for compact, lightweight night vision
Thinner than a human hair, the device amplifies and converts near infrared light into visible light with the potential for low power consumption and long battery life.
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Solving a memristor mystery to develop efficient, long-lasting memory devices
Newly discovered role of phase separation can help develop memory devices for energy-efficient AI computing.
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First 3D visualization of aluminum nanocomposite for the auto industry
The lightweight material could extend EV range or fuel efficiency once its microstructure is understood.
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OptoGPT for improving solar cells, smart windows, telescopes and more
Taking advantage of the transformer neural networks that power large language models, engineers can get recipes for materials with the optical properties they need.