Given the emergence of data science and machine learning throughout all aspects of
society, but particularly in the scientific domain, there is increased importance placed on …

Conjugated polymers (CPs) are widely used in various domains of organic electronics.
However, the performance of organic electronic devices can be variable due to the lack of …

Most of the knowledge in materials science literature is in the form of unstructured data such
as text and images. Here, we present a framework employing natural language processing …

Currently, researchers spend significant time manually searching through large volumes of
data produced during scanning probe imaging to identify specific patterns and motifs formed …

Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) are
important tools for characterizing nanomaterial morphology. Automatic analysis of the …

Automating the analysis portion of materials characterization by electron microscopy (EM)
has the potential to accelerate the process of scientific discovery. To this end, we present a …

Reliable quantification and characterization of microplastics are necessary for large-scale
and long-term monitoring of their behaviors and evolution in the environment. This is …

Aiming at the problem that the number and decimal point of digital instruments in substations
are prone to misdetection and missed detection, a method of digital meter readings in a …

The recognition and statistical analysis of nanometer scaled second phase (NSP), such as
precipitates or carbides in alloys is considered to be very important for optimization of …

The device performance of thin film electronics is known to be dependent on morphological
properties such as the size, shape, and orientation of aggregates and crystalline domains …