31 - 40 of 42 Results
Knowing the state of charge of lithium-ion batteries, used to power applications from electric vehicles to medical diagnostic equipment, is critical for long-term battery operation.
The use of Fluidized Bed Chemical Vapor Deposition to coat particles or fibers is inherently slow and capital intensive, as it requires constant modifications to the equipment to account for changes in the characteristics of the substrates to be coated.
Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.
Nearly all electrochemical approaches to CO2 conversion rely on traditional fuel cell type electrocatalysis where CO2 is bubbled through acidic or basic media. The resulting electrochemistry leads to excessive generation of H2 over micromoles of CO2 conversion.
This invention provides a method for differentiating if the cell is failing due to chemical/mechanical factors or due to Li dendrite formation by combing high throughput electronic measurement recording with fast data analysis to monitor the change of battery performance at th
Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.
This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.
An efficient, eco-friendly metal extraction using ultrasonic leaching, ideal for lithium and magnesium recovery from minerals and waste.
The need for accurate temperature measurement in critical environments such as nuclear reactors is paramount for safety and efficiency.
The invention ensures post-validation calibrated physics system predictions remain within predetermined model validation domain boundaries.