Christian H. Liebscher

ORCID: 0000-0001-8620-4597
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About
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Research Areas
  • Microstructure and mechanical properties
  • Advanced Materials Characterization Techniques
  • Microstructure and Mechanical Properties of Steels
  • Metal and Thin Film Mechanics
  • High Entropy Alloys Studies
  • Electron and X-Ray Spectroscopy Techniques
  • High Temperature Alloys and Creep
  • Intermetallics and Advanced Alloy Properties
  • Aluminum Alloy Microstructure Properties
  • High-Temperature Coating Behaviors
  • nanoparticles nucleation surface interactions
  • Copper Interconnects and Reliability
  • Advanced Electron Microscopy Techniques and Applications
  • Ion-surface interactions and analysis
  • Surface and Thin Film Phenomena
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Aluminum Alloys Composites Properties
  • Metallurgical and Alloy Processes
  • Metallurgy and Material Forming
  • Machine Learning in Materials Science
  • Force Microscopy Techniques and Applications
  • Fusion materials and technologies
  • Advanced materials and composites
  • X-ray Diffraction in Crystallography
  • Nuclear Materials and Properties

Max-Planck-Institut für Nachhaltige Materialien
2016-2025

Ruhr University Bochum
2024-2025

Max Planck Society
2015-2021

University of California, Berkeley
2012-2017

Lawrence Berkeley National Laboratory
2012-2015

University of Duisburg-Essen
2015

Berkeley College
2014

University of Bayreuth
2008-2011

Abstract Microstructural length‐scale refinement is among the most efficient approaches to strengthen metallic materials. Conventional methods for refining microstructures generally involve grain size reduction via heavy cold working, compromising material's ductility. Here, a fundamentally new approach that allows load‐driven formation and permanent of hierarchical nanolaminate structure in novel high‐entropy alloy containing multiple principal elements reported. This achieved by triggering...

10.1002/adma.201804727 article EN Advanced Materials 2018-09-14

Novel dual-nanoprecipitation enables ultrahigh specific strength of new ductile, lightweight compositionally complex steels.

10.1126/sciadv.aba9543 article EN cc-by-nc Science Advances 2020-11-13

Abstract Single crystal Ni-based superalloys have long been an essential material for gas turbines in aero engines and power plants due to their outstanding high temperature creep, fatigue oxidation resistance. A turning point was the addition of only 3 wt.% Re second generation single which almost doubled creep lifetime. Despite significance this improvement, mechanisms underlying so-called “Re effect” remained controversial. Here, we provide direct evidence enrichment crystalline defects...

10.1038/s41467-019-14062-9 article EN cc-by Nature Communications 2020-01-20

Abstract This is a viewpoint paper on recent progress in the understanding of microstructure–property relations advanced high-strength steels (AHSS). These alloys constitute class high-strength, formable that are designed mainly as sheet products for transportation sector. AHSS have often very complex and hierarchical microstructures consisting ferrite, austenite, bainite, or martensite matrix duplex even multiphase mixtures these constituents, sometimes enriched with precipitates....

10.1007/s11661-020-05947-2 article EN cc-by Metallurgical and Materials Transactions A 2020-09-05

Abstract Hydrogen pick-up leading to hydride formation is often observed in commercially pure Ti (CP-Ti) and Ti-based alloys prepared for microscopic observation by conventional methods, such as electro-polishing room temperature focused ion beam (FIB) milling. Here, we demonstrate that cryogenic FIB milling can effectively prevent undesired hydrogen pick-up. Specimens of CP-Ti a dual-phase alloy (Ti-6Al-2Sn-4Zr-6Mo, Ti6246, wt.%) were using xenon-plasma microscope equipped with stage...

10.1038/s41467-019-08752-7 article EN cc-by Nature Communications 2019-02-26

Abstract There have been numerous efforts to develop creep-resistant materials strengthened by incoherent particles at high temperatures and stresses in response future energy needs for steam turbines thermal-power plants. However, the microstructural instability of incoherent-particle-strengthened ferritic steels limits their application below 900 K. Here, we report a novel alloy with excellent creep resistance enhanced coherent hierarchical precipitates, using integrated experimental...

10.1038/srep16327 article EN cc-by Scientific Reports 2015-11-09

During application, electrocatalysts are exposed to harsh electrochemical conditions, which can induce degradation. This work addresses the degradation of AuPd bimetallic catalysts used for electrocatalytic production hydrogen peroxide (H2O2) by oxygen reduction reaction (ORR). Potential-dependent changes in surface composition occur because two metals have different dissolution onset potentials, resulting catalyst dealloying. Using a scanning flow cell (SFC) with an inductively coupled...

10.1021/acscatal.7b01447 article EN ACS Catalysis 2017-07-11

Abstract Science is and always has been based on data, but the terms ‘data-centric’ ‘4th paradigm’ of materials research indicate a radical change in how information retrieved, handled performed. It signifies transformative shift towards managing vast data collections, digital repositories, innovative analytics methods. The integration artificial intelligence its subset machine learning, become pivotal addressing all these challenges. This Roadmap Data-Centric Materials explores fundamental...

10.1088/1361-651x/ad4d0d article EN cc-by Modelling and Simulation in Materials Science and Engineering 2024-05-17

The unique combination of atomic-scale composition measurements, employing atom probe tomography, atomic structure determination with picometer resolution by aberration-corrected scanning transmission electron microscopy, and atomistic simulations reveals site-specific linear segregation features at grain boundary facet junctions. More specific, an asymmetric line along one particular type junction core, instead a homogeneous decoration the planes, is observed. Molecular-statics calculations...

10.1103/physrevlett.121.015702 article EN Physical Review Letters 2018-07-06

The phase behavior of grain boundaries can have a strong influence on interfacial properties. Little is known about the emergence boundary phases in elemental metal systems and how they transform. Here, we observe nanoscale patterning by two alternating with distinct atomic structures copper resolution imaging. same are found structure search indicating first-order transformation. Finite temperature atomistic simulations reveal congruent, diffusionless transition between these under ambient...

10.1038/s41467-022-30922-3 article EN cc-by Nature Communications 2022-06-09

This work presents the new template matching capabilities implemented in Pyxem, an open source Python library for analyzing four-dimensional scanning transmission electron microscopy (4D-STEM) data. Template is a brute force approach deriving local crystal orientations. It works by comparing of simulated diffraction patterns to experimental collected with nano-beam and precession (NBED PED). computationally demanding task, therefore implementation combines efficiency scalability utilizing...

10.1016/j.ultramic.2022.113517 article EN cc-by Ultramicroscopy 2022-03-29

Grain boundaries, the two-dimensional defects between differently oriented crystals, tend to preferentially attract solutes for segregation. Solute segregation has a significant effect on mechanical and transport properties of materials. At atomic level, however, interplay structure composition grain boundaries remains elusive, especially with respect light interstitial like B C. Here, we use Fe alloyed C exploit strong interdependence interface chemistry via charge-density imaging atom...

10.1038/s41467-023-39302-x article EN cc-by Nature Communications 2023-06-15

Abstract Characterizing crystal structures and interfaces down to the atomic level is an important step for designing advanced materials. Modern electron microscopy routinely achieves resolution capable resolve complex arrangements of atoms with picometer precision. Here, we present AI-STEM, automatic, artificial-intelligence based method, accurately identifying key characteristics from atomic-resolution scanning transmission (STEM) images polycrystalline The method on a Bayesian...

10.1038/s41524-023-01133-1 article EN cc-by npj Computational Materials 2023-10-02
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