The ability to integrate resources and share knowledge across organisations empowers
scientists to expedite the scientific discovery process. This is especially crucial in addressing …

Foundation models in language and vision have the ability to run inference on any textual
and visual inputs thanks to the transferable representations such as a vocabulary of tokens …

In this paper, we present MatKG, a knowledge graph in materials science that offers a
repository of entities and relationships extracted from scientific literature. Using advanced …

Zeolites are complex and porous crystalline inorganic materials that serve as hosts for a
variety of molecular, ionic and cluster species. Formal, machine-actionable representation of …

Experimental science is enabled by the combination of synthesis, imaging, and functional
characterization organized into evolving discovery loop. Synthesis of new material is …

What are researchers' motivations and challenges related to automation and autonomy in
materials science laboratories? Our survey on this topic received 102 responses from …

A scalable, reusable, and broad-coverage unified material knowledge representation shows
its importance and will bring great benefits to data sharing among materials communities. A …

Across the chemical sciences, synthesis planning is a key aspect for defining synthesis
routes, starting from idea generation, combining literature searches and laboratory …

Reasoning, the ability to logically draw conclusions from existing knowledge, is a hallmark of
human. Together with perception, they constitute the two major themes of artificial …

This dissertation addresses the need to accelerate materials discovery, particularly within
the context of advanced scattering facilities. The complexity of materials discovery arises …