Search Results - zzenergy+storage

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Object-Detecting Deep Learning for Multi-Event Electrochemical Data (Case No. 2024-088)

Summary: UCLA researchers in the Department of Chemistry and Biochemistry developed a custom-designed deep learning architecture for object detection and mechanisms classification to streamline the experimental design of cyclic voltammograms. Background: Cyclic voltammetry, a widely used electrochemical test, serves as a crucial tool in understanding...

Published: 8/23/2024 | Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang, Yuanzhou Chen

Keywords(s): 2D ultrasound imaging, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, bioelectronics, Biomaterial, electrochemical sensors, Electronics & Semiconductors, Lithium Battery, Lithium-Ion Battery, Machine Learning, Materials, Medical Devices and Materials, Medical diagnostics, Pharmaceutical Drug, Pharmaceutical testing, Rechargeable Battery, zzenergy storage

Category(s): Electrical > Electronics & Semiconductors, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Energy & Environment > Water Monitoring & Treatment, Software & Algorithms > Image Processing, Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical > Signal Processing

2016-585 Multi-Point, Multi-Access Energy Storage

SUMMARYUCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel multi-point, multi-access thermal energy storage system.BACKGROUNDAs renewable energy sources become more prevalent on the grid, much more energy storage will be needed to meet electric demands during times of low generation capacity. For example,...

Published: 7/19/2023 | Inventor(s): Richard Wirz

Keywords(s): Energy & Water, Energy Generation & Storage, Energy Generation, Transmission, or Storage, zzenergy storage

Category(s): Energy & Environment > Energy Generation > Solar, Energy & Environment > Energy Storage