fig1

Figure 1. Overview of MatterChat: a modular multimodal LLM for material-based question answering. (A) The architecture integrates a materials structure encoder, a trainable bridge module, and a large language model to align atomic structures with natural-language reasoning; (B) The elemental distribution illustrates the chemical diversity of the training corpus; (C) The space-group and crystal-system distributions summarize its crystallographic diversity. This figure is quoted with permission from reference^[1]. LLM: Large language model.