The Open Databases Integration for Materials Design (OPTIMADE) application
programming interface (API) empowers users with holistic access to a growing federation of …

For over three decades, the materials tetrahedron has captured the essence of materials
science and engineering with its interdependent elements of processing, structure …

Solutions for the generation of FAIR (Findable, Accessible, Interoperable, and Reusable)
data and metadata in experimental tribology are currently lacking. Nonetheless, FAIR data …

We present a comprehensive benchmark dataset for Knowledge Graph Question Answering
in Materials Science (KGQA4MAT), with a focus on metal-organic frameworks (MOFs). A …

In view of the paradigm shift toward data-driven research in materials science and
engineering, handling large amounts of data becomes increasingly important. The …

As a result of a number of national initiatives, we are seeing rapid growth in the data
important to materials science that are available over the web. Consequently, it is becoming …

Material research and development driven by data analysis necessitates a substantial
volume of data. However, conventional material data sharing platforms encounter …

In this position paper, we describe research on knowledge graph-empowered materials
science prediction and discovery. The research consists of several key components …

The ever-increasing amount of data generated from experiments and simulations in
engineering sciences is relying more and more on data science applications to generate …

This study aims to analyze the needs of researchers in a regional comprehensive university
for research data management services; discuss the options for developing a research data …