Search Results - yang+li

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Steric Hindrance Effect of Additives for Tuning the Perovskite Crystal Orientation (Case No. 2024-023)
Summary: UCLA Researchers in the Department of Materials Science and Engineering have developed a method to tune perovskite crystal orientation for increased performance, energy efficiency, and reduced material defect with a variety of field applications, including solar cells and LEDs. Background: Perovskite holds considerable promise as a highly...
Published: 10/25/2024   |   Inventor(s): Yang Yang, Chunqing Ma, Haoxiang Duan, Dong Meng
Keywords(s): Energy Efficiency, energy-efficient, Imaging, Liquid-Crystal Display, Nanocrystal, OLED, Optoelectronics, organic photo detector, organic photovoltaics, perovskite, perovskite devices, perovskite solar cell, photodetection, Solar Cell, X-ray detectors
Category(s): Chemical > Chemical Processing & Manufacturing, Energy & Environment > Energy Efficiency, Energy & Environment, Materials > Composite Materials, Optics & Photonics, Optics & Photonics > Fiber Optics, Materials > Functional Materials
2023-087 Thiophene Configurable Amorphous Small Molecular Hole Transporting Material for Efficient and Stable Perovskite Solar Cell
Summary: UCLA researchers in the Department of Materials Science and Engineering have invented a series of hole transporting materials that have enabled among the highest recorded power conversion efficiencies for perovskite solar cells while maintaining high device stability and low cost. Background: Perovskite solar cells (PSCs) are an emerging...
Published: 6/25/2024   |   Inventor(s): Yang Yang, Dong Meng
Keywords(s): buffer layer, charge collection, charge collection efficiency, charge extraction, charge-transfer, device architectures, device stability, hole transporting material, hydrophobicity, interfacial layer, ion-migration, n-i-p device, perovskite, Perovskite Lead(II) Iodide, perovskite solar cell, photostability, p-i-n device, power conversion efficiency, radiosurgery, Silicon Working Electrode Perovskite (Structure), spinal surgery, thermal stability
Category(s): Chemical, Electrical, Energy & Environment > Energy Generation > Solar, Materials, Materials > Functional Materials, Electrical > Electronics & Semiconductors
An OCT method to improve scleral lens fitting
Summary The current technology allows for accurate and objective 3-dimensional (3D) mapping of the external limbus, which could ultimately improve the process of scleral lens fitting. Technology Overview Rigid scleral lenses are difficult to fit to patients because they must rest on the eye but vault over the cornea and the limbus, which is the transition...
Published: 1/5/2024   |   Inventor(s): David Huang, Yan Li, Clara Llorens Quintana
Keywords(s): Imaging, Imaging - Other, Software, Software - Diagnostic/Detection
Category(s): Imaging, Software
High-Throughput Direct-Measurement of Telomere Length
Telomeres are linear chromosome end-capping repetitive DNA sequences. They serve to protect the ends of chromosomes from undesirable fusion events, thus integrity and length are crucial for stability. Natural attrition as well as mutations can affect telomere integrity and length resulting in chromosome instability, senescence, cell death and human...
Published: 8/14/2023   |   Inventor(s): Julian Chen, Yang Li, Dhenugen Logeswaran
Keywords(s):  
Category(s): Bioanalytical Assays, Chemistries & Devices, Diagnostic Assays/Devices, Genomic Assays/Reagents/Tools, Life Science (All LS Techs), Medical Diagnostics/Sensors
Learning Sparse Features for Self-Supervised Learning with Contrastive Dual Gating
The success of conventional supervised learning relies on large-scale labeled datasets to achieve high accuracy. However, annotating millions of data samples is labor-intensive and time-consuming. This promotes self-supervised learning as an attractive solution with artificial labels being used instead of human-annotated ones for training. Contrastive...
Published: 6/2/2023   |   Inventor(s): Jae-Sun Seo, Jian Meng, Li Yang, Deliang Fan
Keywords(s): Algorithm Development, Machine Learning, Performance Optimization, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
New Small Molecules for Stable and Efficient Organic Photovoltaics (UCLA Case No. 2023-086)
Summary: UCLA researchers in the Department of Materials Science and Engineering have developed a novel molecule for organic photovoltaics, photodetectors, organic field effect transistors, and other relevant applications. Background: Among all competing photovoltaic technologies, the organic photovoltaics (OPVs) market is likely to grow the fastest,...
Published: 12/8/2023   |   Inventor(s): Yang Yang, Dong Meng
Keywords(s): Concentrated Solar Power, Concentrated Solar Power Chemical Engineering, energy conversion, energy conversion applications, energy recycle, interfacial layer, Methods Of Detecting Extrasolar Planets, multi-junction tandem devices, near-infrared, organic field effect transistors, organic photo detector, organic photovoltaics, Organic Solar Cell, perovskite devices, perovskite solar cell, Polymer Solar Cell, rganic light-emitting diodes, Solar Cell, Solar Cell Metamaterial, Solar Cell Molecular Electronics, Solar Energy, Thin Film Solar Cell, transparent OPVs, ultra-narrow bandgap
Category(s): Electrical, Electrical > Electronics & Semiconductors, Materials > Functional Materials, Energy & Environment > Energy Generation > Solar
Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference
Deep neural networks (DNNs) have shown extraordinary performance in recent years for various applications, including image classification, object detection, speech recognition, etc. Accuracy-driven DNN architectures tend to increase model sizes and computations in a very fast pace, demanding a massive amount of hardware resources. Frequent communication...
Published: 5/2/2023   |   Inventor(s): Jae-Sun Seo, Jian Meng, Li Yang, Deliang Fan
Keywords(s): Algorithm Development, Machine Learning, Memory, Neural Computing, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Masked-Based Learning Method for Neural Network Multiple Task Adaption
Nowadays, one practical limitation of deep neural networks (DNNs) is their high degree of specialization to a single task. This motivates researchers to develop algorithms that can adapt the DNN model to multiple tasks sequentially, while still performing well on past tasks. This process of gradually adapting the DNN model to learn from different...
Published: 4/19/2023   |   Inventor(s): Deliang Fan, Fan Zhang, Li Yang
Keywords(s): Algorithm Development, Computational Machine, Computing Architecture, Cyber-Physical System, Machine Learning, Neural Computing
Category(s): Computing & Information Technology, Physical Science
Memory Efficient, Multi-Domain On-Device Machine Learning
­One practical limitation of deep neural network (DNN) is its high degree of specialization to a single task or domain (e.g., one visual domain). This motivates the development of algorithms that can adapt DNN model to multiple domains sequentially while still performing well on past domains. This is known as multi-domain learning. Conventional...
Published: 2/23/2023   |   Inventor(s): Li Yang, Deliang Fan, Adnan Siraj Rakin
Keywords(s): Algorithm Development, Artificial Intelligence, Machine Learning, On-device learning, PS-Computing and Information Technology
Category(s): Physical Science, Computing & Information Technology
Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks
­Recently, Deep Neural Networks (DNNs) have been deployed in many safety-critical applications. The security of DNN models can be compromised by adversarial input examples, where the adversary maliciously crafts and adds input noise to fool a DNN model. The perturbation of model parameters (e.g., weight) is another security concern, one that relates...
Published: 2/24/2023   |   Inventor(s): Deliang Fan, Adnan Siraj Rakin, Li Yang, Chaitali Chakrabarti, Yu Cao, Jae-Sun Seo, Jingtao Li
Keywords(s): Algorithm Development, Artificial Intelligence, Cyber Security, Defense Applications, Machine Learning, Neural Computing
Category(s): Physical Science, Intelligence & Security, Wireless & Networking, Computing & Information Technology
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