Search Results - chong+liu

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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

2022-214 Machine-Learning-Based Automatic Analysis of Electrochemical Characterizations

SUMMARY: UCLA researchers in the Department of Chemistry and Biochemistry have developed a machine-learning based algorithm that identifies reaction mechanisms from cyclic voltammetry data and offers accurate interpretations of complex electrochemical data. BACKGROUND: Electrochemistry is a readily accessible and valuable tool for researchers to...

Published: 7/19/2023 | Inventor(s): Chong Liu, Quanquan Gu, Benjamin Hoar, Weitong Zhang

Keywords(s): Algorithm, Instrumentation & Analysis, Life Science Research Tools, Machine Learning, Software & Algorithms

Category(s): Life Science Research Tools > Research Methods, Electrical > Instrumentation, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Programs

2021-291-AMBIENT METHANE FUNCTIONALIZATION BY CONTINUOUS ELECTROGENERATED D9 METALLORADICALS

SUMMARY UCLA researchers in the Department of Chemistry and Biochemistry have developed an electrocatalytic system for CH4 functionalization using silver (AgII) as a metalloradical mediator that works at low temperatures with minimal infrastructure. BACKGROUND Methane (CH4) release occurs in a wide array of industrial processes, including natural...

Published: 7/19/2023 | Inventor(s): Chong Liu, Jiao Deng, Jesus Iniguez, Danlei Xiang, Xun Guan

Keywords(s): Catalysts, Electrocatalyst, Metals, Methane, Methane Reformer, Radical (Chemistry)

Category(s): Materials > Functional Materials, Materials > Metals, Materials, Chemical > Catalysts, Chemical > Synthesis, Chemical > Chemical Processing & Manufacturing, Chemical > Industrial & Bulk Chemicals

Ambient Methane Functionalization Initiated by d0 Metal-oxo Electrocatalyst

UC Case No. 2020-127 SUMMARY: UCLA researchers in the Department of Chemistry and Biochemistry have developed a new strategy to electrochemically functionalize methane at low activation energies under ambient conditions. BACKGROUND: Natural gas resources are abundant, yet their wide geological distribution, often in remote locations, results...

Published: 2/5/2024 | Inventor(s): Chong Liu, Jiao Deng, Jesus Iniguez

Keywords(s): Bulk Industrial Chemicals, Catalysts, Chemical Manufacturing & Industrial/Bulk Chemicals, Energy & Water, Hydrocarbons, Reaction Technologies

Category(s): Chemical > Catalysts, Chemical > Synthesis, Chemical > Industrial & Bulk Chemicals