representation learning , the seminal work CLIP has widespread multimodal FM and we now find a variety of its folks. It has also inspired materials science community where scientific facts and measurement data are provided along with their specific modalities. Models for applications in organic and drug chemistry have been trained by pairing molecular structures and texts that describe their properties , which have rich information on molecules. In contrast, relatively few such examples have been reported for inorganic materials, except for studies that used pairs of crystal structures and X-ray diffraction data , which aimed to learn the concepts of crystals via the diffraction data, and that used the triplet pairs of crystal structures, the density of states, and the charge densities . This is considerably because only a few published and curated datasets of inorganic chemistry with multiple modalities are available, especially those written in natural language. More essentially, inorganic materials are so intricate to be characterized only with motifs, which often characterize the functionalities of organic materials.