4 papers
Deep Learning Assisted Prediction of Electrochemical Lithiation State in Spinel Lithium Titanium Oxide Thin Films
Devin Chugh, Bhagath Sreenarayanan, Steven Suwito +4
Machine Learning (ML) and Deep Learning (DL) based framework have evolved rapidly and generated considerable interests for predicting the properties of materials. In this work, we…
Spectroscopic Determination of Site-Selective Ligand Binding on Single Anisotropic Nanocrystals
Dong Le, Wade Shipley, Alexandria Do +17
Organic surface ligands are integral components of nanocrystals and nanoparticles that have a strong influence on their physicochemical properties, their interaction with the envir…
Deep learning assisted high resolution microscopy image processing for phase segmentation in functional composite materials
Ganesh Raghavendran, Bing Han, Fortune Adekogbe +5
In the domain of battery research, the processing of high-resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior unders…
Guidelines for Correlative Imaging and Analysis of Reactive Lithium Metal Battery Materials
Shuang Bai, Zhao Liu, Diyi Cheng +15
To unlock the full potential of lithium metal batteries, a deep understanding of lithium metal reactivity and its solid electrolyte interphase is essential. Correlative imaging, co…