Author: Patricia DeLacey
-
A manual for efficient wave energy converter prototyping
An open-source, standardized methodology aims to streamline efforts to design small-scale wave energy converters, moving closer to harnessing offshore renewables.
-
A microfluidic chip monitors gases using integrated, motionless pumps
The integrated design achieves accurate micro gas chromatography and can help reduce the cost of monitoring chemical synthesis, natural gas pipelines or at-home air quality.
-
New MRI technique maps fluid velocity distribution in the brain
The tool could help researchers study the brain’s waste clearing system and its links to Alzheimer’s Disease or other neurodegenerative disorders.
-
Superconductor phase transitions manage radiative heat transfer
A first-of-its-kind experiment finds niobium suppresses nanoscale radiative heat transfer when in a superconducting state, with implications for quantum computing.
-
A participatory design builds social acceptance for fusion energy
A workshop where community members developed hypothetical fusion energy facilities helps pinpoint values and concerns, forming a new playbook to build public support.
-
Did You Feel It? Expanding use of an earthquake crowdsourcing tool
The platform that rapidly maps earthquake damage can collect more global shaking intensity observations by supporting more languages and increasing social media traffic.
-
Simple equations predict hydrogen storage in porous materials
The new approach found two physical traits—void fraction and pore volume—predict metal-organic framework performance without using supercomputers.
-
OLED lighting: Corrugated panel design extends longevity and efficiency
The new design uses microscale ridges to pack more OLED into a given lighting panel area and lasts 2.7 times as long, with 40% higher efficiency, compared to conventional devices.
-
Model predicts best cooling and aging regimen to form strong alloys
A new multiscale materials modeling framework predicts microstructures to control the final strength of lightweight aluminum alloys for fuel-efficient vehicles.
-
AI supports home-based balance training
New machine learning model draws data from wearable sensors to predict how a physical therapist would assess balance training performance.
-
byLLM: adding AI to software without the prompt engineering
When using byLLM, developers completed tasks over three times faster and wrote 45% fewer lines of code when creating applications like chatbots and virtual assistants.
-
Interpretable machine learning to accelerate nanocatalyst discovery
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.