Structural and transport properties of battery electrolytes at sub-zero temperatures
Formulating and establishing design principles to improve low-temperature performance of battery electrolytes.
25 ENERGY STORAGE↗
Engineering topics
Orme, Christine A.
Publications and source records attributed to Orme, Christine A..
Ligand exchange of nanocrystal films
A method includes at least partially submerging a substrate in a colloidal mixture of nanocrystals and a first solvent. The nanocrystals have first ligands coupled thereto. The method also includes applying an electric field to the colloidal mixture to form a solvated nanocrystal film and removing the solvated nanocrystal film from the first solvent. The method further includes applying a second solvent to the solvated nanocrystal film for ligand exchange. The second solvent comprises second ligands. A nanocrystal film product formed by one-step ligand exchange includes at least one dimension greater than 100 nm and ordered nanocrystals characterized as having a domain size of greater than 100 nm.
Xu, Xiaojie↗
First-principles evaluation of MnO 2 polymorphs as cathode material in lithium-ion batteries
MnO 2 polymorphs show distinct advantages and disadvantages when used as cathode material for Li-ion batteries (LIBs).
25 ENERGY STORAGE↗
Image Processing Pipeline for Fluoroelastomer Crystallite Detection in Atomic Force Microscopy Images
Phase transformations in materials systems can be tracked using atomic force microscopy (AFM), enabling the examination of surface properties and macroscale morphologies. In situ measurements investigating phase transformations generate large datasets of time-lapse image sequences. The interpretation of the resulting image sequences, guided by domain-knowledge, requires manual image processing using handcrafted masks. Here this approach is time-consuming and restricts the number of images that can be processed. Her in this study, we developed an automated image processing pipeline which integrates image detection and segmentation methods. We examine five time-series AFM videos of various fluoroelastomer phase transformations. The number of image sequences per video ranges from a hundred to a thousand image sequences. The resulting image processing pipeline aims to automatically classify and analyze images to enable batch processing. Using this pipeline, the growth of each individual fluoroelastomer crystallite can be tracked through time. We incorporated statistical analysis into the pipeline to investigate trends in phase transformations between different fluoroelastomer batches. Understanding these phase transformations is crucial, as it can provide valuable insights into manufacturing processes, improve product quality, and possibly lead to the development of more advanced fluoroelastomer formulations.
36 MATERIALS SCIENCE↗