Search Results - lithium-ion+battery

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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
Lebesgue-Sampling-based Deep Learning for Battery Diagnosis and Prognosis
Reference #: 01603 The University of South Carolina is offering licensing opportunities for Lebesgue-Sampling-based Deep Learning for Battery Diagnosis and Prognosis Background: Accurate and efficient modeling of battery degradation is of great challenge and is becoming more and more complex for batteries in modern applications. Traditional degradation...
Published: 5/16/2023   |   Inventor(s): Bin Zhang, Guangxing Niu
Keywords(s): Deep belief network, Diagnosis and prognosis, Fault dynamic model, Lebesgue sampling, Lithium-ion battery, Particle filter, Uncertainty management
Category(s): Engineering and Physical Sciences, Energy
2022-116-1 Electrolyte Modulator Additive for Lithium-Ion Batteries
Summary: UCLA researchers in the Department of Chemical and Biomolecular Engineering have designed a MOF-based electrolyte modulator to mitigate the polarization of electrolytes in lithium-ion batteries for energy efficient electric vehicles. Background: To ensure a successful transition to electric vehicles, it is essential to develop low-cost...
Published: 7/19/2023   |   Inventor(s): Yunfeng Lu, Li Shen, Xinru Li
Keywords(s): Charge Carrier, Electric Vehicle, Energy Density, Energy Efficiency, Hybrid Electric Vehicle, Lithium Battery, Lithium-Ion Battery, Metal-Organic Framework, Polarizer, Rechargeable Battery, Rechargeable Battery Thermal Conductivity
Category(s): Electrical, Energy & Environment > Energy Storage, Energy & Environment > Energy Storage > Batteries
2022-216 Electrode for Rechargeable Batteries that Resists Dendrite Growth
Summary: UCLA researchers in the Department of Material Science and Engineering have developed electrodes for rechargeable batteries which resist dendrite growth. Background: Rechargeable batteries have attracted attention due to their wide array of applications and environmental benefits. Rechargeable metal-ion batteries, such as lithium-ion batteries,...
Published: 7/19/2023   |   Inventor(s): Yang Yang, Xiaochun Li
Keywords(s): Alloy, Dendrite, Electrode, Lithium Battery, Lithium-Ion Battery, Nanoelectronics, Nanoparticle, Rechargeable Battery, Rechargeable Battery Thermal Conductivity
Category(s): Materials > Semiconducting Materials, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Electrical > Electronics & Semiconductors, Energy & Environment > Energy Storage > Batteries
2022-090 COMPOSITE ANODE MATERIAL FOR SODIUM ION BATTERIES
Summary: UCLA researchers in the Department of Biomolecular and Chemical Engineering have developed a novel anode material that has improved capacity and stability of sodium-ion batteries. Background: Lithium-ion batteries (LIBs) have revolutionized technology in multiple fields and can be found in a wide array of technologies, ranging from electric...
Published: 7/19/2023   |   Inventor(s): Yunfeng Lu, Xinyi Tan
Keywords(s): Anode, Energy Generation & Storage, Lithium-Ion Battery, Nanomaterials, Nanostructure, Rechargeable Battery
Category(s): Materials > Functional Materials, Materials > Nanotechnology, Energy & Environment > Energy Storage