Ismer, L.: Lattice dynamics and thermodynamic properties of the secondary structure of proteins: A DFT-GGA based analysis, plus a short introduction to SFHIngX. Seminar, University of California, Santa Barbara, USA (2005)
Ismer, L.; Ireta, J.; Neugebauer, J.; Scheffler, M.: A DFT-GGA based thermodynamic analysis of the secondary structure of proteins. DPG-Jahrestagung, Berlin, Germany (2005)
Aydin, U.; Ismer, L.; Hickel, T.; Neugebauer, J.: Chemical trends of the solution enthalpy of dilute hydrogen in 3d transition metals, derived from first principles. Summer School: Computational Materials Science, San Sebastian, Spain (2010)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: First principles study of the alpha-iron stability limits. 448. Wilhelm und Else Heraeus-Seminar "Excitement in magnetism: Spin-dependent scattering and coupling of excitations in ferromagnets", Tegernsee, Ringberg, Germany (2009)
Friák, M.; Sob, M.; Kim, O.; Ismer, L.; Neugebauer, J.: First principles study of the alpha-iron stability limits. Ab initio Description of Iron and Steel: Magnetism and Phase diagrams (ADIS 2008), Ringberg Castle, Tegernsee, Germany (2008)
Ismer, L.; Hickel, T.; Neugebauer, J.: First principles analysis of Hydrogen in Manganese-rich austentitic steels. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Ismer, L.; Hickel, T.; Neugebauer, J.: First principles study of Hydrogen in Mn-rich austenitic steels. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Ismer, L.; Ireta, J.; Neugebauer, J.: Employing DFT and periodic boundary conditions to study the thermodynamic stability of the secondary structure of proteins. ADIS 2006, Ringberg Castle (2006)
Ismer, L.; Ireta, J.; Neugebauer, J.: Thermodynamic stability of the secondary structure of proteins: A DFT-GGA based vibrational analysis. IPAM-Workshop: Multiscale Modeling in Soft Matter and Bio-Physics, Los Angeles, CA, USA (2005)
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
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.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…