Search Results - chong+liu

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Silica Gel Microbeads for Encapsulating Plant Growth Promoting Bacteria (UCLA Case No. 2021-176)

UCLA researchers led by Prof. Ann Hirsch in the Department of Molecular, Cellular and Developmental Biology have developed silica gel encapsulation for plant growth-promoting bacteria, with applications to enhance the stability, shelf-life, and effectiveness of these beneficial microbes for agricultural use. Overview: The silica gel encapsulation technology...

Published: 9/8/2025 | Inventor(s): Ann Hirsch, Chong Liu

Keywords(s):

Category(s): Therapeutics > Agtech And Animal Health

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: 2/14/2025 | 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: 7/17/2025 | 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

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: 7/17/2025 | 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