Springer, H.; Zhang, J.; Szczepaniak, A.; Belde, M. M.; Gault, B.; Raabe, D.: Light, strong and cost effective: Martensitic steels based on the Fe - Al - C system. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 762, 138088 (2019)
Belde, M. M.; Springer, H.; Raabe, D.: Vessel microstructure design: A new approach for site-specific core-shell micromechanical tailoring of TRIP-assisted ultra-high strength steels. Acta Materialia 113, pp. 19 - 31 (2016)
Springer, H.; Belde, M. M.; Raabe, D.: Combinatorial design of transitory constitution steels: Coupling high strength with inherent formability and weldability through sequenced austenite stability. Materials and Design 90, pp. 1100 - 1109 (2016)
Belde, M. M.; Springer, H.; Inden, G.; Raabe, D.: Multiphase microstructures via confined precipitation and dissolution of vessel phases: Example of austenite in martensitic steel. Acta Materialia 86, pp. 1 - 14 (2015)
Witte, M.; Belde, M.; Barrales Mora, L.; de Boer, N.; Gilges, S.; Klöwer, J.; Gottstein, G.: Abnormal grain growth in Ni-5at.%W. Philosophical Magazine 92 (35), pp. 4398 - 4407 (2012)
Raabe, D.; Ponge, D.; Wang, M.; Herbig, M.; Belde, M. M.; Springer, H.: 1 billion tons of nanostructure – segregation engineering enables confined transformation effects at lattice defects in steels. 38th Risø International Symposium on Materials Science,, Risø, Denmark, September 04, 2017 - September 08, 2017. IOP Conference Series: Materials Science and Engineering 219, 012006, pp. 1 - 12 (2017)
Springer, H.; Raabe, D.; Belde, M. M.: Rapid Alloy Prototyping – High Throughput Bulk Metallurgy at the MPIE. Workshop on machine learning and data analytics in advanced metals processing, RollsRoyce Institute Manchester, Manchester, UK (2017)
Springer, H.; Belde, M. M.; Raabe, D.: High throughput combinatorial design of novel high performance steels. International conference on High-throughput materials development, Ghent, Belgium (2015)
Belde, M. M.: Investigations on processing strategies, microstructures and mechanical properties of high strength martensitic-austenitic steels. Doktorandenseminar IEHK at RWTH Aachen, Aachen, Germany (2015)
Belde, M. M.; Springer, H.; Raabe, D.: Tailoring multi-phase microstructures by control of local chemical gradients, applied to austenite in martensitic steel. Icomat 2014
, Bilbao, Spain (2014)
Springer, H.; Belde, M.; Raabe, D.: Bulk combinatorial design of high strength martensitic steels utilising austenite reversion and cryogenic strengthening. Thermec Conference, Las Vegas, NV, USA (2013)
Springer, H.; Belde, M.; Raabe, D.: Examples of novel steel design: Ductile high strength martensitic steels developed by combinatorial techniques and liquid metallurgy MMCs with high stiffness and low density. Workshop "new frontiers in steel design", Institut für neue Materialien, Uni Saarbrücken, Saarbrücken, Germany (2013)
Belde, M. M.; Springer, H.; Inden, G.; Raabe, D.: Tailoring multi-phase steel microstructures by controlling local chemical gradients. MSE 2014, Darmstadt, Germany (2014)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…