A database of battery materials is presented which comprises a total of 292,313 data
records, with 214,617 unique chemical-property data relations between 17,354 unique …

In the development of new industries, there is a growing demand for innovative materials.
However, locating such materials is a laborious and time-consuming endeavor. In response …

The past century has witnessed remarkable progress in antennas and propagation (A&P)
research, which has made dramatic changes to our society and life and has led to paradigm …

Both band gap and stability of halide perovskites are prerequisites for deployable
photovoltaic devices; however, many machine learning researches focus on one target …

The COVID-19 pandemic has led to an unprecedented challenge to public health. It resulted
in global efforts to understand, record, and alleviate the disease. This research serves the …

In recent years, data-driven methods and artificial intelligence have been widely used in
chemoinformatic and material informatics domains, for which the success is critically …

Recent advancements in language models have started a new era of superior information
retrieval and content generation, with embedding models playing an important role in …

Text mining is the process of exploring and analyzing large amounts of text data and
extracting high-quality information based on patterns and trends in data. The patterns and …

In order to accurately extract and match carbon emission factors from the Chinese textual
building materials list and construct a precise carbon emission factor database, it is crucial to …

The scientific and technological progresses of the chemical and materials science
disciplines lead to a significant amount of numerical and textual data stored in the published …