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Mapping Performance Variations to See How Lithium-Metal Batteries Fail

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Mapping Performance Variations to See How Lithium-Metal Batteries Fail
Using high-energy x-rays, scientists probed different points across a high-energy-density lithium-metal battery of interest for long-range electric vehicles and used the data to identify the main failure mechanism
April 19, 2021
Brookhaven Lab chemist and Stony Brook University (SBU) professor Peter Khalifah (middle) with SBU graduate students Zhuo Li (left) and Gerard Mattei (right) holding a pouch cell battery attached to a frame used for synchrotron x-ray studies. Note: This photo was taken prior to current COVID-19 social distancing guidelines.
UPTON, NY Scientists have identified the primary cause of failure in a state-of-the-art lithium-metal battery, of interest for long-range electric vehicles. Using high-energy x-rays, they followed the cycling-induced changes at thousands of different points across the battery and mapped the variations in performance. At each point, they u ....

United States , Cassidy Anderson , Gerard Mattei , Jie Xiao , Peter Khalifah , Deric Dufek , Zhuo Li , Brookhaven Lab , Department Of Chemistry At Stony Brook University , Pacific Northwest National Laboratory , Us Department Of Energy , Renewable Energy , National Synchrotron Light Source , Chemistry Division , Office Of Science , Idaho National Laboratory , Brookhaven National Laboratory , Battery Materials Research Program , Energy Storage , Energy Efficiency , Andrea Starr Pacific Northwest National Laboratory , Office Of Science User Facility , Stony Brook University , Vehicle Department , Vehicle Technologies Office , Mapping Performance Variations ,

Mapping performance variations to see how lithium-metal batteries fail

Mapping performance variations to see how lithium-metal batteries fail
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United States , Jie Xiao , Peter Khalifah , Deric Dufek , Brookhaven Lab , Department Of Chemistry At Stony Brook University , Pacific Northwest National Laboratory , Us Department Of Energy , Renewable Energy , National Synchrotron Light Source , Chemistry Division , Office Of Science , Idaho National Laboratory , Brookhaven National Laboratory , Battery Materials Research Program , Energy Storage , Energy Efficiency , Office Of Science User Facility , Vehicle Department , Vehicle Technologies Office , Stony Brook , Northwest National Laboratory , Battery Facility , National Laboratory , X Ray Powder Diffraction , Advanced Vehicle ,

First closeups of how a lithium-metal electrode ages

First closeups of how a lithium-metal electrode ages
eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.

United States , David Boyle , Yi Cui , Davidt Boyle , William Huang , Zhenan Bao , Nature Energy , Department Of Energy , Stanford Institute For Materials , Battery Materials Research Program , Office Of Vehicle Technologies , Energy Sciences , Office Of Science , Stanford University , National Accelerator Laboratory , Accelerator Laboratory , Stanford Professor Yi Cui , Stanford Professor Zhenan , Stanford Institute , Vehicle Technologies , Stanford Nano Shared , ஒன்றுபட்டது மாநிலங்களில் , டேவிட் பாயில் , இ சுத்தி , வில்லியம் ஹுவாங் , இயற்கை ஆற்றல் ,

SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging

SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging
Scientists have made a major advance in harnessing machine learning to accelerate the design for better batteries. Instead of using machine learning just to speed up scientific analysis by looking for patterns in data as typically done the researchers combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging lithium-ion batteries.
It was the first time this approach known as “scientific machine learning” has been applied to battery cycling, said Will Chueh, an associate professor at Stanford University and investigator with the Department of Energy’s SLAC National Accelerator Laboratory who led the study. He said the results overturn long-held assumptions about how lithium-ion batteries charge and discharge and give researchers a new set of rules for e ....

Stephen Kang , Stephen Dongmin Kang , Department Of Energy , Massachusetts Institute Of Technology , Battery Materials Research Program , Toyota Research Institute , Office Of Science , Lawrence Berkeley National Laboratory Advanced Light Source , Stanford University , National Accelerator Laboratory , Will Chueh , Accelerator Laboratory , Nature Materials , Massachusetts Institute , Patrick Herring , Toyota Research , Jungjin Park , Synchrotron Radiation Lightsource , Lawrence Berkeley National Laboratory , Advanced Light Source , Stanford Synchrotron Radiation Lightsource , Battery Materials Research , ஸ்டீபன் காங் , துறை ஆஃப் ஆற்றல் , மாசசூசெட்ஸ் நிறுவனம் ஆஃப் தொழில்நுட்பம் , மின்கலம் பொருட்கள் ஆராய்ச்சி ப்ரோக்ர்யாம் ,

In a leap for battery research, machine learning gets scientific smarts

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VIDEO: SLAC and Stanford researcher Will Chueh talks about a new way to incorporate scientific insight into machine learning for battery research - an approach that will speed up development of.
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Credit: Olivier Bonin/SLAC National Accelerator Laboratory
Menlo Park, Calif. Scientists have taken a major step forward in harnessing machine learning to accelerate the design for better batteries: Instead of using it just to speed up scientific analysis by looking for patterns in data, as researchers generally do, they combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging lithium-ion batteries. ....

United States , Stephen Dongmin Kang , Martin Bazant , Chongbo Zhao , Department Of Energy , Massachusetts Institute Of Technology , Battery Materials Research Program , Biden Administration , Toyota Research Institute , Office Of Science , Lawrence Berkeley National Laboratory Advanced Light Source , Stanford University , National Accelerator Laboratory , Menlo Park , Will Chueh , Accelerator Laboratory , Nature Materials , Massachusetts Institute , Patrick Herring , Toyota Research , Jungjin Park , Synchrotron Radiation Lightsource , Lawrence Berkeley National Laboratory , Advanced Light Source , Stanford Synchrotron Radiation Lightsource , Battery Materials Research ,