Search Results - energy+density

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Charge Storage Device Architecture for Increased Energy and Power Density (Case No. 2009-392)
Summary: UCLA researchers have developed a novel electrochemical capacitive energy storage device with high energy and power density, addressing limitations in current energy storage technologies and meeting the demands of increasing electrification. Background: Current energy storage devices, such as lithium-ion batteries and electrochemical capacitors,...
Published: 10/24/2025   |   Inventor(s): Bruce Dunn, George Gruner, John Wang, Sarah Tolbert, Torsten Brezesinski
Keywords(s): battery-less, battery-less IoT, Capacitor, Charge Carrier, charge collection efficiency, charge extraction, charge sharing, charge summing, charge-transfer, clean energy, electric vehicle charging, energy conversion, Energy Density, Energy Efficiency, Energy Harvesting, energy management, Energy Management System, Energy positive, energy-efficient, grid energy, Lithium Battery, Lithium-Ion Battery, material characterization, Nanoelectronics, Nanomaterials, Nanoparticles, Nanostructure, nanostructured materials, Nanotechnology, Rechargeable Battery, Rechargeable Battery Thermal Conductivity, Renewable Energy, Renewable energy sources, Solar Energy, supercharger, Surface Charge, Thermal Energy Storage, wireless energy harvesting
Category(s): Materials, Materials > Nanotechnology, Energy & Environment, Energy & Environment > Energy Efficiency, Energy & Environment > Energy Storage, Electrical, Electrical > Electronics & Semiconductors
Event-Driven Integrate and Fire (EIF) Neuron Circuit for Neuromorphic Computing System (Case No. 2024-275)
Summary: Researchers in the UCLA Department of Electrical and Computer Engineering have developed an energy efficient neuromorphic computing architecture. Background: Widespread growth in demand for artificial intelligence systems has highlighted limitations in current central processing unit (CPU) designs, particularly in terms of energy efficiency...
Published: 11/18/2025   |   Inventor(s): Mau-Chung Chang, Chao Jen Tien, Yong Hei
Keywords(s): Advanced Computing / AI, advanced computing methods, AI hardware, analog computing, Artifical Intelligence (Machine Learning, Data Mining), artificial electromagnetic materials, Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial intelligence-generated content, Artificial Neural Network, Artificial Neural Network Artificial Neuron, artificial presenting cells, artificial-intelligent materials, Cloud Computing, computational efficiency, computational imaging, compute-in-memory, Computer Aided Learning, Computer Architecture, Computer Monitor, Computer Vision, CPU design, deep neural networks (DNN), Energy Density, Energy Efficiency, event-driven processing, generative artificial intelligence, latency encoding, low latency computing, low-power architecture, matrix multiplication, Medical artificial intelligence (AI), Neuromorphic computing, offline learning, online learning, spike neural networks (SNN), Supercomputer
Category(s): Electrical, Electrical > Signal Processing, Electrical > Electronics & Semiconductors, Electrical > Computing Hardware, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning
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: 7/17/2025   |   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