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AI-Powered Technology for Safe and Smart Charging of Li-Ion Batteries (Case No. 2024-209)
Summary: Researchers in the UCLA Department of Chemical and Biomolecular Engineering have developed a new battery management system to improve lithium-ion battery lifetimes. Background: Lithium-ion (Li-ion) batteries are crucial for powering many modern devices, from smartphones to electric vehicles due to their high energy density, long life cycle,...
Published: 10/15/2024
|
Inventor(s):
Yuzhang Li
,
Jiayi Yu
,
Aki Takahashi
Keywords(s):
Category(s):
Materials
,
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Energy & Environment
,
Energy & Environment > Energy Storage
,
Energy & Environment > Energy Storage
> Batteries
,
Electrical
,
Electrical > Sensors
Electrically Gated Solid-State Molecular Thermal Transistor (Case No. 2024-099)
Summary: UCLA researchers have introduced a solid-state thermal transistor that achieves groundbreaking performance and facilitates improved heat flow manipulation. Background: The forefront of thermal management is marked by the exploration of molecular thermal transistors, driven by the quest for more efficient electronic devices. Researchers are...
Published: 10/23/2024
|
Inventor(s):
Yongjie Hu
,
Paul Weiss
,
Man Li
Keywords(s):
; self-assembled molecule
,
Composite Material
,
Doping (Semiconductor)
,
Elastic Modulus Thermal Grease
,
Electronics & Semiconductors
,
field-effect transistors (FETs)
,
Functional Materials
,
heat control
,
heat controlling devices
,
infrared thermal imaging
,
Microelectronics Semiconductor Device Fabrication
,
molecular design
,
molecular engineering
,
molecular junction
,
Nanomaterials
,
Optoelectronic materials
,
Optomechanical Thermal Imaging Transducer
,
organic field effect transistors
,
Organic Semiconductor
,
phase change materials
,
Rechargeable Battery Thermal Conductivity
,
self-assembled molecule
,
Semiconductor
,
semiconductor chip foundries
,
Semiconductor Device
,
Semiconductor Device Fabrication
,
Semiconductor Ohmic Contact
,
Semiconductor Risk Assessment
,
Semiconductor Sapphire
,
Semiconductors
,
solid-state thermal transistor
,
strength-thermal stability
,
switching reversibility
,
thermal circuit
,
thermal compression bonding
,
thermal conductance
,
Thermal Energy Storage
,
thermal fusion
,
thermal imaging
,
thermal management systems
,
thermal stability
,
thermal switching speed
,
thermal switching speeds
,
thermal transistor
,
Thin-Film Transistor
,
Transistor
,
transistors
,
zzsemiconducting materials
Category(s):
Electrical
,
Electrical > Electronics & Semiconductors
,
Energy & Environment
,
Energy & Environment > Energy Generation
,
Energy & Environment > Energy Storage
,
Energy & Environment > Energy Transmission
,
Energy & Environment > Thermal
,
Electrical > Instrumentation
,
Materials
,
Materials > Nanotechnology
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
Non-Noble Metal Catalysts for Effective Electrochemical Acidic Oxygen Evolution (Case No. 2024-114)
Summary: UCLA researchers in the Department of Materials Science and Engineering have developed a novel catalytic material that improves the oxygen evolution reaction for clean hydrogen production. Background: Hydrogen is a promising green alternative to lessen reliance on non-renewable, polluting fuel sources. Current hydrogen production is mainly...
Published: 5/16/2024
|
Inventor(s):
Yu Huang
,
Haotian Liu
Keywords(s):
acidic water splitting
,
anode material
,
green energy
,
hydrogen evolution reaction
,
hydrogen production
,
mass stability
,
overpotential
,
oxygen evolution reaction
,
proton exchange water membrane electrolyzer (PEMWE)
,
Renewable energy sources
,
spinel oxide
,
water splitting
Category(s):
Energy & Environment
,
Energy & Environment > Energy Generation
,
Energy & Environment > Energy Storage
,
Chemical
,
Chemical > Catalysts
Electrocatalysts With Tailored Local Chemical Environment for High-Performance Alkaline Water Electrolysis and Renewable Fuel Generation (Case No. 2023-212)
Summary: UCLA researchers have developed a novel catalytic system that improves reaction kinetics, durability, and resistance to impurities, making it a promising candidate for water electrolyzers and renewable chemical fuel production. Background: Hydrogen, boasting a remarkable energy density of 140 MJ/kg (nearly triple that of typical solid fuels...
Published: 7/10/2024
|
Inventor(s):
Xiangfeng Duan
,
Yu Huang
,
Chengzhang Wan
Keywords(s):
Category(s):
Chemical
,
Chemical > Catalysts
,
Chemical > Synthesis
,
Materials
,
Materials > Nanotechnology
,
Materials > Functional Materials
,
Materials > Water Treatment
,
Energy & Environment
,
Energy & Environment > Energy Storage
,
Energy & Environment > Energy Storage
> Fuel Cells
,
Energy & Environment > Energy Efficiency
Ion-Solvent-Polymer Interactions for Preparing Polymer Networks and Composites of Tunable Structures and Properties (UCLA Case No. 2023-147)
Summary: Researchers in UCLA's Department of Materials Science and Engineering have developed a solution-based synthesis platform capable of generating micro and nanostructured gels, polymers, and composites with simultaneously improved safety, mechanical and ionic conductivity/transport properties. Background: Pore structure engineering holds...
Published: 7/30/2024
|
Inventor(s):
Ximin He
Keywords(s):
Category(s):
Chemical
,
Chemical > Polymers
,
Chemical > Synthesis
,
Energy & Environment
,
Energy & Environment > Energy Storage
,
Materials
,
Materials > Fabrication Technologies
,
Materials > Functional Materials
,
Materials > Composite Materials
Copyright: Phoenix Human Reliability Analysis Tool (Case No. 2023-088)
Summary: UCLA researchers in the Garrick Institute for the Risk Sciences have developed a software for performing human reliability analyses using a model-based method, which provides more consistent, traceable, and reproducible results. Background: Statistical data regarding accidents in complex person operated technical systems indicate a significant...
Published: 6/24/2024
|
Inventor(s):
Marilia Ramos
,
Ali Mosleh
,
Mihai Diaconesa
,
Arjun Earthperson
,
Wadie Chalgham
,
Javier Colin
Keywords(s):
Bayesian Belief Network (BBNs)
,
cognitive reliability
,
crew failure mode
,
crew response tree
,
crew-plant interactions
,
error identification
,
error probability
,
Fault tree
,
HRA
,
human error
,
human failure event
,
human reliability analysis
,
performance influencing factor
,
probabilistic risk assessment
,
risk management
,
risk mitigation
,
safety culture
,
task analysis
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Energy & Environment
,
Energy & Environment > Energy Storage
,
Energy & Environment > Energy Transmission
Ultrafine Platinum Catalysts for Hydrogen Fuel Cells (Case No. 2023-026)
Summary: UCLA researchers in the Department of Materials Science and Engineering have developed a novel method to synthesize platinum-based catalysts with ultralow base transition metal-oxide content. Background: Ultrafine platinum (Pt)-based catalysts present a promising avenue for achieving exceptional fuel cell activity while minimizing base transition...
Published: 9/17/2024
|
Inventor(s):
Yu Huang
Keywords(s):
Catalysts
,
Fuel Cell
,
Metals
,
Nanoparticle
,
Nanoparticles
,
Nanotechnology
,
Platinum
,
transition metal catalysts
Category(s):
Materials
,
Energy & Environment
,
Energy & Environment > Energy Storage
,
Energy & Environment > Energy Storage
> Fuel Cells
,
Chemical
,
Chemical > Catalysts
,
Chemical > Synthesis
,
Materials > Nanotechnology
2022-279 Pipeline System Integrity Management (PSIM)
Summary: UCLA researchers in the B. John Garrick Institute for Risk Sciences have developed a user-friendly software that utilizes real-time data and comprehensive failure models to help natural gas operators optimize mitigation actions to enhance the structural reliability and safety of a pipeline system. Background: There is over 2.6 million miles...
Published: 7/19/2023
|
Inventor(s):
Ali Mosleh
,
Wadie Chalgham
,
Keo-Yuan Wu
,
Zahra Mahmoodzadeh Poornaki
Keywords(s):
Artificial Intelligence
,
Control Systems
,
Corrosion
,
Extraction Of Petroleum
,
Industrial Gases
,
Internal Combustion Engine
,
Mechanical Systems
,
Monitoring And Recording Systems
,
Natural Gas
,
Petroleum Carbohydrate
,
Petroleum Reservoir
,
Prognosis
,
Risk Assessment
,
Water Injection (Oil Production)
Category(s):
Software & Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Energy & Environment > Energy Storage
,
Energy & Environment > Energy Transmission
,
Medical Devices > Monitoring And Recording Systems
,
Software & Algorithms > Data Analytics
,
Energy & Environment > Energy Storage
> Gas Storage
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: 7/19/2023
|
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
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