Transition metal oxides (TMOs) like perovskites are known to be versatile for functional properties such as ferroelectricity, magnetism, optical properties, and high-temperature superconductivity, because of their sensitive coupling between atomic structure and properties. By studying and understanding the fundamental structure-property relationships present in TMOs, it is possible to strategically engineer...
Supervised learning model is one of the most fundamental machine learning models. It can provide powerful capability of prediction by learning complex patterns hidden in many, sometimes thousands, predictors. It can also be used as a building block of other machine learning tasks, like unsupervised learning and reinforcement learning. Such...
Thermoelectric materials have attracted widespread attention in recent decades because of their ability to directly convert thermal energy into electrical energy. Given that waste heat is the primary source of lost energy in the world, the implications of developing better thermoelectric materials are both immediate and far-reaching. Admittedly, large progress...
Dual-phase (DP) steels have been widely applied in automobile industry, and are famous for continuous yielding in their corresponding stress-strain curves. The appearance of yield-point phenomena, or discontinuous yielding, is considered undesirable for DP steels. Herein, we take advantage of the undesirable appearance of yield-point phenomena in DP steels as...
The investigation of ceria-related materials has a long history since 1920s. The first publication on web of science traces back to 1928. Ever since that, more studies come out and surge starting from 1987. This material has attracted extensive attention due to its wide applications in electrochemical devices, catalysis, and...
Biological organisms have the extraordinary ability to form mineral structures with unparalleled control. From curved single crystals to hierarchically structured skeletal parts, biomineralization processes produce materials with properties that are highly optimized for their intended applications. These processing techniques occur at ambient conditions using materials abundant in the environment, and...
Multimetallic nanoparticles represent an important class of electrocatalysts which are critical for many energy and environmental applications including fuel cells, hydrogen production, and greenhouse gas elimination. The properties of these nanoparticles depend on their composition, size, shape, and structure. Therefore, developing new strategies which provide a high level of control...
Tooth enamel, the outermost layer of human teeth, is a complex, hierarchically structured biocomposite. The details of this structure are important in multiple human health contexts, from understanding the progression of dental caries (tooth decay) to understanding the process of amelogenesis (enamel formation) and related developmental defects.While much is known...
The three-dimensional (3D) nanoscale structure of III-As nanowires is correlated with optical and electronic property measurements to deconvolve the contributions of strain, composition, and crystal structure to characteristics of interest for future electronic and optoelectronic devices. Multiple advanced two-dimensional (2D) and 3D characterization techniques are employed such as atom probe...
There is considerable technical interest in the improvement of battery technology, as it would allow for the enhancement and realization of many different applications, including the continued miniaturization of portable computational devices, plug-in electric vehicles, and intermittent power storage. Lithium metal represents a theoretical limit on the anode energy density...