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Rice study suggests stress among misaligned particles in LiFePO4 cathodes limits flow

The Rice lab of materials scientist Ming Tang has analyzed nano- and micro-scale interactions within lithium iron phosphate cathodes through modeling and imaging offered by the transmission X-ray microscopy capabilities at Brookhaven National Laboratory and Argonne National Laboratory. Their paper, published in the journal ACS Energy Letters, supports theories Tang. ....

Ming Tang , Department Of Energy , Mesoscale Materials Science Group Rice University , National Science Foundation , Energy Sciences , Argonne National Laboratory , Energy Letters , Rice University , Brookhaven National Laboratory , Argonne National , Mesoscale Materials Science , Basic Energy Sciences ,

Stress Among Misaligned Particles in Typical Cathodes Limits Flow

If one could sufficiently contract for a fabulous voyage throughout a lithium battery electrode, they would be able to notice that the level of charge at every scale is highly irregular. ....

New York , United States , Jun Wang , Ming Tang , Fan Wang , Brookhaven National Laboratory , Xianghi Xiao , Linsen Li , Keat Lee , Kaiqi Yang , Jiajun Wang , Department Of Energy , National Science Foundation , Courtesy Of The Mesoscale Materials Science Group , American Chemical Society , Shanghai Jiao Tong University , Energy Sciences , Argonne National Laboratory , Energy Letters , Rice University , Proposes Stress Among Misaligned Particles , Typical Cathodes Limits , Mesoscale Materials Science , Image Credit , Argonne National , Associate Professor ,

Lithium's narrow paths limit batteries

Lithium's narrow paths limit batteries
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New York , United States , Jun Wang , Ming Tang , Fan Wang , Brookhaven National Laboratory , Xianghi Xiao , Linsen Li , Keat Lee , Kaiqi Yang , Jiajun Wang , Department Of Energy , Mesoscale Materials Science Group Rice University , National Science Foundation , Courtesy Of The Mesoscale Materials Science Group , American Chemical Society , Shanghai Jiao Tong University , Energy Sciences , Argonne National Laboratory , Energy Letters , Rice University , Argonne National , Mesoscale Materials Science , Wah Keat Lee , Shanghai Jiao Tong , Basic Energy Sciences ,

Neural nets used to rethink material design

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IMAGE: Engineers at Rice University and Lawrence Livermore National Laboratory are using neural networks to accelerate the prediction of how microstructures of materials evolve. This example predicts snowflake-like dendritic crystal growth..
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Credit: Mesoscale Materials Science Group/Rice University
HOUSTON - (April 30, 2021) - The microscopic structures and properties of materials are intimately linked, and customizing them is a challenge. Rice University engineers are determined to simplify the process through machine learning.
To that end, the Rice lab of materials scientist Ming Tang, in collaboration with physicist Fei Zhou at Lawrence Livermore National Laboratory, introduced a technique to predict the evolution of microstructures structural features between 10 nanometers and 100 microns in materials. ....

Rice University , United States , Ming Tang , Daniel Aberg , Youtian Zhang , Mike Williams , Yifan Cao , Lawrence Livermore , Jeff Falk , Kaiqi Yang , Babak Sadigh , Lawrence Livermore National Laboratory , Department Of Energy , Mesoscale Materials Science Group Rice University , National Science Foundation , Natural Sciences , Fei Zhou At Lawrence Livermore National Laboratory , American Chemical Society Petroleum Research Fund , Mesoscale Materials Science Group , Georger Brown School Of Engineering , Baker Institute For Public , Engineers At Rice University , Department Of Materials Science , Princeton Review , Yufei Zhou , Cell Press ,