room 1.40, Pasteura 5 at 15:15

Dr Dariusz Sztenkiel (Institute of Physics, Polish Academy of Sciences, Warszawa, Poland)
The Monte Carlo (MC) approach is now an essential ingredient in many quantitative studies and branches of science including physics, finance-economics, biology, engineering, etc. The MC algorithm is the natural choice for studying the static properties of a system, where dynamical effects are not required. In the modified MC approach proposed here the probability of accepting the final state depends on the activation energy, not on the relativeenergy between the final and initial state [1]. However, the barrier height is calculated on an ongoing basis, by generating intermediate stateswith a predefined step Δ. Therefore, we name this method step Monte Carlo (sMC) [1]. Importantly, the sMC method correctly takes into account the presence of various local barriers and it obeys the detailed balance condition, even if the system is not in equilibrium. As a result, the appropriate dynamics of the tested system is simulated. The details of sMC algorithm areexplained for the case of magnetization process (see figure). To test the correctness of sMC, we compare its results with those obtained bystochastic Landau-Lifshitz-Gilbert approach.[1] D. Sztenkiel, “Introducing the step Monte Carlo method for simulating dynamic properties,” Adv. Theory Simul. 2300184 (2023).The work is supported by the National Science Center (Poland) through project OPUS 2018/31/B/ST3/03438 and by the Interdisciplinary Center for Mathematical and Computational Modelling at the University of Warsawthrough the access to the computing facilities.
The seminar will be held in hybrid mode: in room 1.40 (FUW) and will betransmitted via Zoom:https://uw-edu-pl.zoom.us/j/92019406157?pwd=bE9aKzI0Y2JuZXpaZ1RsR2NrMmFVUT09Meeting ID: 920 1940 6157Passcode: 036238 room 1.40, Pasteura 5 at 15:15

Isabel M. Arias-Camacho (FUW UW)
The increasing amount of greenhouse gases like CO2 and toxic gases like NO2, SO2, and CO due to the massive industry and engine exhaust are putting in danger the environment and climate evolution also influencing negatively the quality of people’s life. 2D materials are in focus due to their high surface-to-volume ratio and stability and can be useful for gas sensing, chemical adsorption, and catalytic purposes. Among all of them, we havechosen MBenes due to their excellent electronic, thermal, transport, mechanical, and physicochemical properties. In addition, MBenes exhibit a great capability of adsorption of small molecules and they do not require surface passivation for stabilization. As newcomers to the family of 2D materials, only some of the MBenes have been obtained experimentally and their research is still mostly limited to theoretical investigations. In this work, we perform first-principles calculations to investigate the adsorption of eight molecules, CO, CO2, H2O, NH3, NO2, SO2, O2, and N2 on Cr2B2,Fe2B2, and Zr2B2 (Figure 1), assessing their potential as catalysts, gas adsorbents, or gas sensors. To this end, optimal adsorption sites, charge transfer, electronic structure, transport properties, recovery time, and magnetism are systematically investigated to understand the mechanisms that govern the interaction between the gas molecules and the MBenes. Our findings point to the conclusion that their behavior as gas sensors or gas adsorbents is not only dependent on the molecule but also on the MBene itself. Among all of them, in general, Fe-based MBenes are the most suitable as gas sensors with the shortest recovery times, whereas the Zr-based MBene is better capable of adsorbing the pollutants leading, however, to its degradation.
This seminar will be held in hybrid mode: in room 1.40 (Faculty of Physics, UW) & via ZOOM link: https://uw-edu-pl.zoom.us/j/96352290812?pwd=aUpMNUxDcGNVaXdONEZ1bUh5Z1dkUT09 Meeting ID: 963 5229 0812, Passcode: 932844 room 1.40, Pasteura 5 at 15:15

Dr Silvio Osella (CENT, UW)
room 1.40, Pasteura 5 at 15:15

Dr. Radosław Kamiński (Department of Chemistry, UW)
room 1.40, Pasteura 5 at 15:15

Prof. Jacek Majewski (IFT UW)