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)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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…