Using a large-scale, experimentally captured 3D microstructure data set, we implement the
generative adversarial network (GAN) framework to learn and generate 3D microstructures …

High performance computing simulations of Cr-poisoning are used to develop systematic
trends for overpotential driven degradation modes in microstructurally resolved fuel cell …

Direct correlation of SOFC performance with electrode evolution requires compared
electrodes to have quantifiably similar initial microstructures. Commercial SOFCs do not …

A high-throughput, high-performance computational approach is used to simulate local
electrochemistry in three-dimensions of solid oxide fuel cell electrodes, with the aim of …

Achieving the full potential of hydrogen energy requires the use of highly efficient devices for
its production and consumption such as Solid Oxide Cells (SOCs). In-situ and ex-situ …

A semi-empirical model is developed to quantitatively characterize electrode
heterogeneities over the micro-and mesoscales, specifically between the relationship of the …

Electrochemical energy devices, such as batteries and fuel cells, contain active electrode
components that have highly porous, multiphase microstructures for improved performance …

A solid oxide fuel cell anode microstructure is obtained using X-ray technology. A complete
three-dimensional (3D) and fine heterogeneous model is built on the basis of the …

Several characterization techniques to quantify electrode microstructure in three-
dimensional (3D) space, such as focused-ion-beam scanning-electron-microscopy (FIB …

Recent progress in micro-scale three-dimensional (3D) characterization techniques such as
focused ion beam–scanning electron microscopy (FIB-SEM) and X-ray nanotomography has …