Germany's historic mining university specializing in critical raw materials, mineral processing, metallurgy, and computational materials science across the full resource value chain.
TU Bergakademie Freiberg is Germany's oldest mining university and a leading research institution in raw materials science, mineral processing, and metallurgy. Their H2020 work spans the full raw materials value chain — from geological exploration and in-situ mining to metal extraction, recycling, and substitution of critical raw materials like tungsten. They also bring strong capabilities in computational materials science, applying machine learning and data-driven methods to understand material behavior at the micro and nanoscale. Additionally, they contribute nanoelectronics characterization expertise through European research infrastructure access programs.
Core theme across OptimOre, Flintstone2020, ION4RAW, RECYCALYSE, SOCRATES, SULTAN, BioMOre, and Real-Time-Mining — covering tungsten extraction, CRM substitution, ionometallurgy, and waste reprocessing.
BioMOre (in-situ biotechnology mining), Real-Time-Mining (extraction optimization), Smart Exploration (new geophysical instruments), and OptimOre (advanced ore processing control).
MuDiLingo applies machine learning to dislocation dynamics, DEFNET studies defect networks, and Inhomogeneities (their ERC grant) investigates micro-scale material behavior.
DESCRAMBLE (supercritical drilling) and DEEPEGS (enhanced geothermal deployment) draw on their subsurface geology and drilling expertise.
ASCENTPlus (2020-2025) provides access to their electrical characterization facilities for beyond-CMOS devices, 2D materials, and quantum dots.
RECYCALYSE develops recyclable catalytic materials for PEM electrolysers, connecting their CRM expertise to green hydrogen production.
In the early H2020 period (2014–2018), TU Freiberg focused on traditional mining and extraction — tungsten ore processing, geothermal drilling, biotechnology-based mining, and surface-level materials characterization (AFM, force spectroscopy). From 2019 onward, their work shifted decisively toward circular economy applications: recovering critical raw materials from waste streams (ION4RAW, SULTAN), developing recyclable catalysts for hydrogen technology (RECYCALYSE), and applying machine learning to materials science (MuDiLingo). This evolution reflects a move from extracting virgin resources to closing material loops and digitizing materials research.
TU Freiberg is repositioning from a traditional mining research university toward a circular raw materials and green technology partner, increasingly integrating digital methods like machine learning into their materials work.
TU Freiberg operates almost exclusively as a consortium partner rather than a project leader — coordinating only 1 of 18 projects (an ERC Starting Grant, which is individual-PI by design). With 182 unique partners across 23 countries, they maintain a very broad network rather than repeating with the same groups, suggesting they are a sought-after specialist that different consortia invite for their raw materials and mining expertise. This makes them a reliable, low-ego partner who contributes deep domain knowledge without needing to drive the project governance.
Extensive European network of 182 unique consortium partners spanning 23 countries, with particularly strong connections to mining regions and materials research hubs across Central and Northern Europe. Their breadth of partnerships — averaging over 10 new partners per project — indicates they are well-integrated into the European raw materials research community.
As Germany's oldest mining academy (founded 1765), TU Freiberg combines centuries of geological and metallurgical tradition with modern computational methods — a rare combination in European research. They cover the entire raw materials chain from underground exploration to metal recovery and recycling, making them a one-stop partner for any consortium that touches minerals, metals, or critical raw materials. Their pivot toward circular economy and hydrogen-related materials means they bridge the gap between traditional extractive industries and Europe's green transition goals.
