Unknown

Dataset Information

Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel.


ABSTRACT: Reaction rates at spatially heterogeneous, unstable interfaces are notoriously difficult to quantify, yet are essential in engineering many chemical systems, such as batteries1 and electrocatalysts2. Experimental characterizations of such materials by operando microscopy produce rich image datasets3-6, but data-driven methods to learn physics from these images are still lacking because of the complex coupling of reaction kinetics, surface chemistry and phase separation7. Here we show that heterogeneous reaction kinetics can be learned from in situ scanning transmission X-ray microscopy (STXM) images of carbon-coated lithium iron phosphate (LFP) nanoparticles. Combining a large dataset of STXM images with a thermodynamically consistent electrochem

SUBMITTER: Zhao H 

PROVIDER: S-EPMC10499602 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature