Paper accepted at the AI4Mat workshop at ICLR

Our paper: "MatBind: Probing the multimodality of materials science with contrastive learning" has been accepted at the AI for Accelerated Materials Design (AI4Mat) Workshop at the International Conference on Learning Representations (ICLR) 2025 in Singapore. This publications is part of our Helmholtz Foundation Model Initiative project "SOL-AI: A symbiotic modular foundation model for accelerating solar energy materials development".

The AI4Mat Workshop NeurIPS 2024 provides an inclusive and collaborative platform where AI researchers and material scientists converge to tackle the cutting-edge challenges in AI-driven materials discovery and development. The goal is to foster a vibrant exchange of ideas, breaking down barriers between disciplines and encouraging insightful discussions among experts from diverse disciplines and curious newcomers to the field. The workshop embraces a broad definition of materials design encompassing matter in various forms, such as crystalline and amorphous solid-state materials, glasses, molecules, nanomaterials, and devices. By taking a comprehensive look at automated materials discovery spanning AI-guided design, synthesis and automated material characterization, the event aims to create an opportunity for deep, thoughtful discussion among researchers working on these interdisciplinary topics, and highlight ongoing challenges in the field.