Digestate Delivers Strongest Overall Wheat Performance, Field Trial Shows
A two-season Indian field trial found that moderate solid-digestate supplementation delivered the best overall combination of wheat yield, soil fertility, ...
Tag: energy efficiency
Technology adoption could reshape U.S. peak electricity demand by 2060
A U.S.-wide modeling study finds that heat-pump adoption could affect extreme peak electricity demand more than climate change in many ...
Simulated vertical-farm controller cuts costs by co-optimizing light and climate
A simulation spanning 36 country, season and production-intensity scenarios found that jointly shifting lighting and climate control cut energy costs ...
Voltage-controlled lithium niobate chip advances compact full-color laser displays
A laboratory photonic chip controlled full-color laser light at 10 GHz and reduced power consumption by more than 75% in ...
Scientists Map the Hidden Chemistry That Could Cut Steel’s Sintering Energy Bill
A CALPHAD-based study maps every reaction pathway that builds the SFCA bonding phase in iron ore sintering and finds that ...
Analogue Memory Chips Run Fast Fourier Transforms for Edge Signal Processing
Researchers have experimentally demonstrated analogue fast Fourier transforms on charge-trapping memory arrays, computing transforms of up to 65,536 points across ...
AI-Powered 5G Framework Slashes Mobile Energy Use While Boosting Security
Researchers have built a three-layer AI framework for 5G mobile learning that cuts device energy use by up to 27 ...
Ground Beats Air in Year-Long Heat Pump Trial, but Refrigerant Choice Decides the Winner
A year-long field study in Amman shows ground source heat pumps consume less electricity annually than air source units, but ...
Synthesis, characterization, and performance evaluation of Al2O3 nanoparticles in HFE7000 refrigerant for domestic refrigeration
Researchers report that aluminium oxide nanoparticles dispersed in HFE-7000 with Tween-80 raise the coefficient of performance of a domestic refrigerator ...
The Hidden Losses That Decide Whether Solar Power and Grid Protection Actually Work
A detailed loss evaluation study reveals that practical implementation factors can increase power electronics losses by up to 21 percent, ...
FlexNPU: The Shape-Shifting AI Chip That Rewires Itself Layer by Layer to Slash Energy Use
Researchers have unveiled FlexNPU, a flexible neural processing unit that reconfigures its dataflow and exploits sparsity in both weights and ...
Electromagnetic Induction Heating Emerges as a Faster Route for Turning Biomass Into Fuels and Chemicals
A new review finds that electromagnetic induction heating can dramatically accelerate biomass conversion while improving energy efficiency and product selectivity, ...
Data-aware disk-covering clustering cuts energy costs for federated learning in wireless sensor networks
A new clustering method for federated learning in wireless sensor networks reduces communication overhead by up to 4% and achieves ...
New Runtime Tool Brings Energy Awareness to Supercomputer Applications Across Chip Architectures
Researchers have integrated two energy-monitoring libraries into a single runtime system that measures and optimizes power consumption for MPI applications ...
One Sensor, Ten Streetlights: Solar-Powered Mesh Network Spots Faulty Lamps and Dangerous Leakage Currents in Real Time
Researchers have unveiled a solar-powered wireless sensor mesh architecture in which a single node monitors ten streetlights, detecting faulty bulbs, ...
Hydrocarbon Refrigerants and Condenser Length Shape the Efficiency of Domestic Refrigerators in New Simulation Study
A new thermodynamic simulation study shows that LPG delivers higher efficiency and lower power consumption in a domestic refrigerator, while ...
CRITIC weighting and tripartite game reveal how public buildings can cut energy use
A hybrid framework combining CRITIC weighting and a tripartite evolutionary game shows that comprehensive retrofits can cut a Chinese university's ...
Spiking Neural Networks Learn Faster When They Can Predict What Happens Next
The study, published in Frontiers in Neurorobotics by researchers at Chiba Institute of Technology, arrives at a moment when the ...
Neuromorphic Computing Has a Definition Problem, and Thermodynamics May Be the Answer
A new Frontiers in Neuroscience editorial argues that neuromorphic computing lacks a precise definition and proposes thermodynamics as its substrate-independent ...
Quantum-Inspired AI Teaches Body Sensors to Outsmart Their Own Batteries
A new quantum-inspired reinforcement learning framework called QuantumEERP-Net extends the lifetime of wireless body sensor networks by more than 80 ...
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