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Monitoring Structural Health Using Diffractive Optical Processors (Case No. 2025-201)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel structural health monitoring system that is highly accurate and cost effective, addressing limitations in current infrastructure and civil health monitoring and a rise in public safety concerns. Background: The need for structural health monitoring...

Published: 6/25/2025 | Inventor(s): Aydogan Ozcan, Ertugrul Taciroglu, Yuntian Wang, Yuhang Li

Keywords(s): 3D structures, Adaptive Optics, AI-generated images and content, all-optical diffractive computing, all-optical transformation, analog computing, analog optical computing, Analogue Electronics, Artifical Intelligence (Machine Learning, Data Mining), Artificial Intelligence, artificial intelligence algorithms, artificial intelligence augmentation, artificial intelligence/machine learning models, artificial-intelligent materials, civil engineering, civil infrastructure, civil monitoring, computational imaging, computational imaging task, Construction, deep diffractive network, Diffraction, diffractive design, diffractive image reconstruction, diffractive network, diffractive processor, diffractive surface, digital image reconstruction, electromagnetic spectrum, Electro-Optics, Image Analysis, Image Processing, Image Resolution, image restoration, image signal processing, Imaging, Infrastructure, Lens (Optics), linear optics, Nanostructure, optical processor, optically-guided structural monitoring, Optics, passive light-matter interactions, security imaging, Signal Reconstruction, Structural health monitoring, structural health monitoring (SHM), structure monitoring, Structures

Category(s): Electrical, Electrical > Signal Processing, Electrical > Imaging, Materials, Materials > Construction Materials, Electrical > Visual Computing, Electrical > Computing Hardware, Electrical > Instrumentation, Energy & Environment, Energy & Environment > Energy Efficiency, Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Image Processing, Software & Algorithms > Programs

2019-470 SYSTEMS AND METHODS FOR ANALYZING COMPONENTS OF MIXTURES

UCLA researchers in the Department of Chemistry and Biochemistry in collaboration with Caltech have developed a novel microcrystal electron diffraction (MicroED) system to unambiguously identify components of complex compound mixtures: delivering rapid, high-resolution atomic structures with minimal sample preparation or formal crystallization procedures. BACKGROUND:...

Published: 2/14/2025 | Inventor(s): Hosea Nelson

Keywords(s): Instrumentation, Instrumentation & Analysis, Structures, X-Ray

Category(s): Chemical > Instrumentation & Analysis

2020-409 METHODS FOR THE DETERMINATION OF ATOMIC AND MOLECULAR STRUCTURES FROM DIGITALLY DEFINED REGIONS OF INTEREST

UCLA researchers from the Department of Chemistry and Biochemistry have developed a novel method to obtain atomic and molecular structures from digitally defined regions of a sample. BACKGROUND:Crystallography and diffraction experiments allow insightful looks into the atomic structure of materials. The usefulness of crystallography is vast, ranging...

Published: 2/14/2025 | Inventor(s): Jose Rodriguez, Marcus Gallagher-Jones, Andrew Minor

Keywords(s): Imaging, Life Science Research Tools, Structures

Category(s): Life Science Research Tools > Research Methods, Life Science Research Tools > Microscopy And Imaging

2019-866 METHODS FOR IMPROVING THE TISSUE SEALING PROPERTIES OF HYDROGELS AND THE USE THEREOF

UCLA researchers in the Department of Bioengineering have optimized the sealing properties of naturally derived biopolymers, without altering their other attractive abilities like biodegradation.BACKGROUND: A significant number of emergency room cases consist of wound-related injuries. While the body is particularly adapted to treat various types of...

Published: 2/14/2025 | Inventor(s): Ali Khademhosseini, Nasim Annabi, Amir Sheikhi

Keywords(s): Chemical Manufacturing & Industrial/Bulk Chemicals, Structures

Category(s): Chemical > Industrial & Bulk Chemicals

Double-Negative-Index Ceramic Aerogels For Thermal Superinsulation

Summary: UCLA researchers in the Departments of Chemistry and Biochemistry and Materials Science and Engineering have developed a novel ceramic aerogel material that has robust mechanical and thermal stability under extreme conditions. Background: Thermal insulation used in industries like aerospace and thermal power fields requires resistance to...

Published: 2/14/2025 | Inventor(s): Xiangfeng Duan, Yu Huang, Xiang Xu

Keywords(s): Chemical Manufacturing & Industrial/Bulk Chemicals, Structures

Category(s): Chemical > Industrial & Bulk Chemicals