Ramachandramoorthy, R.: High strain rate testing of copper based micropillars and microlattices. 206 Departmental Seminar Series, Empa, Thun, Switzerland (2021)
Ramachandramoorthy, R.: Pushing the limits of microscale manufacturing and mechanical testing. Department of Material Science and Engineering Seminar Series, Tel-Aviv University, online, Tel-Aviv, Israel (2021)
Ramachandramoorthy, R.: High strain rate testing from micro-to-meso scale. MRS Spring 2021 Conference - In Situ Mechanical Testing of Materials at Small Length Scales, Modeling and Data Analysis Symposium, online (2021)
Ramachandramoorthy, R.: High strain rate micromechanics: Instrumentation and implementation. DGM - Arbeitskreis Rasterkraftmikroskopie und nanomechanische Methoden, online (2020)
Bellón Lara, B.; Lu, W.; Fang, X.; Dehm, G.; Ramachandramoorthy, R.: Effect of Defects on the Dynamic Compression of Strontium Titanate Micropillars. ECI Nanomechanical Testing in Materials Research and Development IX, Sicily, Italy (2024)
Ding, K.; Kalácska, S.; Sharma, A.; Jain, M.; Koelmans, W.; Schürch, P.; Dehm, G.; Michler, J. K.; Ramachandramoorthy, R.: Copper micro-honeycomb architectures: fabrication, characterization and high strain rate testing. ECI Nanomechanical Testing in Materials Research and Development IX, Giardini Naxos, Messina (Sicily), Italy (2024)
Kang, S. G.; Gainov, R. R.; Heussen, D.; Bieler, S.; Sun, Z.; Weinberg, K.; Dehm, G.; Ramachandramoorthy, R.: Green laser powder bed fusion based fabrication and rate-dependent mechanical properties of copper lattices. arXiv (2022)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…