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We developed and incorporated two innovative mPET/Cu and mPET/Al foils as current collectors in LIBs to enhance cell energy density under XFC conditions.
A new nanostructured bainitic steel with accelerated kinetics for bainite formation at 200 C was designed using a coupled CALPHAD, machine learning, and data mining approach.
Polarization drift in quantum networks is a major issue. Fiber transforms a transmitted signal’s polarization differently depending on its environment.
Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.
Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.
The QVis Quantum Device Circuit Optimization Module gives users the ability to map a circuit to a specific quantum devices based on the device specifications.
This invention utilizes a salt and an amine containing small molecule or polymer for the synthesis of a bulky anionic salt or containing single-ion conducting polymer electrolyte for the use in Li-ion and beyond Li-ion batteries.
QVis is a visual analytics tool that helps uncover temporal and multivariate variations in noise properties of quantum devices.
Electrochemistry synthesis and characterization testing typically occurs manually at a research facility.
Next generation batteries for electric vehicles (EVs) and other manufacturing needs require solid-state batteries made with high-performance solid electrolytes. These thin films are critical components but are difficult to manufacture to meet performance standards.