Gogoi, M.; Deb, P.; Vasan, G.; Keil, P.; Kostka, A.; Erbe, A.: Direct monophasic replacement of fatty acid by DMSA on SPION surface. Applied Surface Science 258, pp. 9685 - 9691 (2012)
Vasan, G.; Erbe, A.: Incidence angle dependence of enhancement factor in attenuated total reflection surface enhanced infrared absorption spectroscopy studied by numerical solution of the vectorial Maxwell equations. Physical Chemistry Chemical Physics 14, pp. 14702 - 14709 (2012)
Vasan, G.; Chen, Y.; Erbe, A.: Computation of surface-enhanced infrared absorption spectra of particles at a surface through the Finite Element Method. Journal of Physical Chemistry 115 (7), pp. 3025 - 3033 (2011)
Reithmeier, M.; Vasan, G.; Erbe, A.: Optical engineering of interfaces for concurrent internal reflection infrared-spectroscopic and electrochemical applications. 109th Annual meeting of the German Bunsen Society of Physical Chemistry (Bunsentagung), Bielefeld, Germany (2010)
Vasan, G.; Erbe, A.: Finite element calculations of surface enhancement in attenuated total reflection infrared spectroscopy. Spring meeting of the German Physical Society, Regensburg, Germany (2010)
Vasan, G.; Erbe, A.: Finite element calculations of surface enhancement in attenuated total reflection infrared spectroscopy. Workshop Nano particles, nano structures and near field computation, Bremen, Germany (2010)
Vasan, G.; Chen, Y.; Erbe, A.: Finite element analysis of surface enhancement in surface enhanced attenuated total reflection infrared spectroscopy. ENFI 2011, Linz, Austria (2011)
Sonowal, H.; Gogoi, M.; Kalita, E.; Vasan, G.; Erbe, A.; Deb, P.: Surface functionalisation mediated enhanced bio-distribution of superparamagnetic iron oxide nanoparticles (SPION) for diagnostic applications. International Conference on Nanoscience and Technology, Mumbai, India (2010)
Vasan, G.; Erbe, A.: Simulation of surface enhanced infrared absorption spectra for rough model surfaces. 4th International workshop on vibrational spectroscopy of thin films (VSM4), Potsdam, Germany (2009)
Vasan, G.; Erbe, A.: Simulation of surface enhanced infrared absorption spectra for rough model surfaces. 108th Annual Meeting of the Bunsen Society of Physical Chemsitry (Bunsentagung), Köln, Germany (2009)
Vasan, G.: Numerical Investigation of Rough Model Surfaces in Attenuated Total Reflection Surface Enhanced Infrared Absorption Spectroscopy With Correlating Experiments. Dissertation, Fakultät für Maschinenbau der Ruhr-Universität, Bochum, Germany (2012)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…