Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Ab Initio Guided Design of bcc Ternary Mg–Li–X (X=Ca,Al,Si,Zn,Cu) Alloys for Ultra-Lightweight Applications. Advanced Engineering Materials 12 (7), pp. 572 - 576 (2010)
von Pezold, J.; Dick, A.; Friák, M.; Neugebauer, J.: Generation and performance of special quasirandom structures for studying the elastic properties of random alloys: Application to Al–Ti. Physical Review B 81 (9), pp. 094203-1 - 094203-7 (2010)
Udyansky, A.; von Pezold, J.; Bugaev, N. V.; Friák, M.; Neugebauer, J.: Interplay between long-range elastic and short-range chemical interactions in Fe–C martensite formation. Physical Review B 79 (22), pp. 224112-1 - 224112-5 (2009)
Counts, W. A.; Friák, M.; Raabe, D.; Neugebauer, J.: Using ab initio calculations in designing bcc Mg-Li alloys for ultra light-weight applications. Acta Materialia 57 (1), pp. 69 - 76 (2009)
Lymperakis, L.; Friák, M.; Neugebauer, J.: Atomistic calculations on interfaces: Bridging the length and time scales. The European Physics Journal Special Topics 177, pp. 41 - 57 (2009)
Ma, D.; Friák, M.; Neugebauer, J.; Raabe, D.; Roters, F.: Multiscale simulation of polycrystal mechanics of textured β-Ti alloys using ab initio and crystal-based finite element methods. Physica Status Solidi B 245 (12), pp. 2642 - 2648 (2008)
Friák, M.; Counts, W. A.; Raabe, D.; Neugebauer, J.: Error-propagation in multiscale approaches to the elasticity of polycrystals. Physica Status Solidi (B) 245, pp. 2636 - 2641 (2008)
Counts, W. A.; Friak, M.; Battaile, C. C.; Raabe, D.; Neugebauer, J.: A comparison of polycrystalline elastic constants computed by analytic homogenization schemes and FEM. Physica Status Solidi B 245, pp. 2630 - 2635 (2008)
Sob, M.; Friák, M.; Wang, L. G.; Kuriplach, J.: The role of ab initio electronic structure calculations in contemporary materials science - part 2. Journal of Functional Materials 1 (11), pp. 408 - 418 (2007)
Sob, M.; Friák, M.; Wang, L. G.; Kuriplach, J.: The role of ab initio electronic structure calculations in contemporary materials science - part 1. Journal of Functional Materials 1 (10), pp. 363 - 367 (2007)
Raabe, D.; Sander, B.; Friák, M.; Ma, D.; Neugebauer, J.: Theory-guided bottom-up design of β-titanium alloys as biomaterials based on first principles calculations: Theory and experiments. Acta Materialia 55 (13), pp. 4475 - 4487 (2007)
Friák, M.; Raabe, D.; Neugebauer, J.: Ab Initio Guided Design of Materials. In: Structural Materials and Processes in Transportation, pp. 481 - 495 (Eds. Lehmhus, D.; Busse, M.; Herrmann, A. S.; Kayvantash, K.). Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany (2013)
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
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.