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Novel molecular orbital interaction stabilizes cathode materials for lithium-ion batteries

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An international team led by scientists from the Institute for Superconducting and Electronic Materials at the University of Wollongong in Australia has verified that the introduction of novel molecular orbital interactions can improve the structural stability of cathode materials for lithium-ion batteries. D’Angelo, B. Johannessen, L.

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ICL model predicts lithium-ion batteries most competitive for storage applications by 2030

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The model predicts lithium-ion batteries to be the cheapest technology in the coming decades. We have found that lithium-ion batteries are following in the footsteps of crystalline silicon solar panels. Researchers at Imperial College London (ICL) developed a model to determine the lifetime costs (i.e.,

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DOE issues RFI on implementation of $335M Li-ion battery recycling programs

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The information collected may be used to inform DOE planning related to the following components of the bill: Section 40207(e), titled Lithium-Ion Battery Recycling Prize. Section 40207(f) titled, Battery and Critical Mineral Recycling: Battery Recycling Research, Development, and Demonstration Grants.

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NOVONIX and SandboxAQ partner to use AI to predict lifespan of Li-ion batteries

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With the rapidly growing demand for lithium-ion batteries required to support the global electrification trend, optimizing battery performance and cycle life on a timely basis is critical to enhance performance and reduce battery costs.

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Researchers move closer to faster-charging Li-ion batteries; real-time tracking of Li ions in LTO

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A team of scientists led by the US Department of Energy’s (DOE) Brookhaven National Laboratory and Lawrence Berkeley National Laboratory has captured in real time how lithium ions move in lithium titanate (LTO), a fast-charging battery electrode material made of lithium, titanium, and oxygen.

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INL team designs tailored superfast charging methods

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By inputting information about the condition of many lithium-ion batteries during their charging and discharging cycles, the scientists trained the machine learning analysis to predict lifetimes and the ways that different designs would eventually fail.

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Sandia testing method yields pathway to better, longer-lasting solid-state batteries

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The contributions from ions, electrons, and interfaces are deconvolved by correlating the CPD profiles with Li-concentration profiles and by comparisons with first-principles-informed modeling. In our case, it really has to do a lot with how fast lithium ions can move in the Si anode used in the study.

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