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Max Planck Institute for Sustainable Materials

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Research
Research Departments
Structure and Nano-/ Micromechanics of Materials
Research Projects
Design of MEMS based testing platforms

Publications of Yitong Yang

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Thesis - Master (1)

Thesis - Master (1)

Thesis - Master

Yang, Y.: 3-dimensional investigation of the crystallographic prior-austenite grain boundary characters in martensitic steels. Master, RWTH Aachen, Aachen, Germany (2018)

MPG.PuRe

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Scientists

Dr. Sung-Gyu Kang, Assistant Professor

External Group Leader, Former member s.kang@...

Alemnis GmbH

Alemnis GmbH, 3602 Thun, Switzerland

CSEM SA

CSEM SA, 2002 Neuchâtel Switzerland

Group Leader

Dr. Rajaprakash Ramachandramoorthy

Group Leader +49 211 6792 467 r.ram@...

Other Interesting Articles

Illustration of atomic structure highlighting aluminum, magnesium, and hydrogen atoms. A color scale denotes trapping energy variations, with a lattice network depicting atomic connections.

Stronger and safer: new design strategy for aluminium combines strength with hydrogen embrittlement resistance

April 30, 2025

International researcher team develops scalable aluminium alloys for the hydrogen economy

Harnessing corrosion: Max Planck scientists transform dealloying into sustainable lightweight alloy design

December 18, 2024

method development sustainability

Latest results now published in the journal Science Advances

Innovating alloy production: a single step from ores to sustainable metals

September 19, 2024

hydrogen method development sustainability

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.

Artificial intelligence designs advanced materials

August 14, 2023

artificial intelligence and digitilization method development

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

Seeing light elements in a grain boundary

August 01, 2023

method development microstructure and properties

A further step in unravelling materials’ properties down to the atomic scale

How to prevent hydrogen embrittlement?

February 01, 2023

harsh conditions hydrogen

New video explains strategies to counteract crack propagation in aluminum

Robot Microscopy

October 31, 2022

method development

Video: How to save time and effort in materials’ characterization?

How hydrogen behaves in aluminium alloys

February 16, 2022

harsh conditions hydrogen

Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…

How will materials fail? Basic simulations on experimental data

October 06, 2021

harsh conditions rauhe umgebungsbedingungen

New research group on “Microstructure and Mechanics” starts at the MPIE

Artificial intelligence for complex materials

July 01, 2021

artificial intelligence and digitilization method development

Max Planck researchers present a new deep neural network for predicting materials’ mechanical behaviour

Strain rate, size and defect density interdependence on the deformation of 3D printed microparticles

artificial intelligence and digitilization harsh conditions method development microstructure and properties

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…

Correlative Use of Atom Probe Tomography and Electron Microscopy

This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.

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