We present the IMAGE-materials model, a stock-driven dynamic material flow analysis model, part of the IMAGE integrated assessment model (IAM) framework. y combining modelling principles from the IAM and Industrial Ecology (IE) communities, the model quantifies material inflows, stocks, and outflows affected by climate and resource policy scenarios.</p> <p>IMAGE-materials is a recursive yearly simulation model that projects global material demand until 2100 for 26 world regions on a sectoral level for a wide variety of bulk and critical materials. The model includes buildings, vehicles, electricity, rail & road infrastructure, and a residual sector capturing the remaining demand, including different types and modes (e.g., housing types and transport modes). It is written using a modular, object-oriented Python architecture, enabling the easy addition of new sectors and data. Key assumptions include product lifetimes, material intensities, and technology mixes.</p> <p>The model is driven by service demand scenarios produced by the IMAGE framework, based on socio-economic and climate policy assumptions. IMAGE-materials can flexibly simulate the adoption of numerous circular economy measures, such as service demand reductions, lifetime extension, lightweighting, and recycling. Therefore, IMAGE-materials enables scientists and policymakers to explore mitigation pathways with a detailed additional dimension of material flows. It can thus assess the synergies and trade-offs between climate and circularity policies by explicitly accounting for their material implications. As such, IMAGE-materials integrates the fields of IAMs and IE, building on the strengths of each.