Izobražujemo najboljši pedagoški kader
Pridružite se študijskim programov, ki jih kot edina fakulteta v Sloveniji izvajamo za vse ravni šolskega sistema.
7. 5. 2024
Posredujemo vam vabilo na mesečni seminar izbranih EUTOPIA-SIF raziskovalcev, ki bo potekal v ponedeljek, 13. maja 2024 ob 13.00 na ZOOM-u (povezava: https://cyu-fr.zoom.us/j/96890365434?pwd=d3kxY2tLYkFtMHdJMjk4NVAreXI2UT09) ter v živo na Vrije Universiteit Bruselj (Etterbeek campus building I room 1.05). Spremljanje vsebine seminarja omogoča dober vpogled v mednarodne raziskovalne aktivnosti, ki potekajo pod okriljem zveze EUTOPIA. Program je na voljo spodaj.
Vljudno vabljeni vsi raziskovalci, pedagogi in tudi strokovni sodelavci, ki bi jih predstavljene tematike lahko zanimale.
Please find here EUTOPIA-SIF 2023-24 Seminar Invitation 13-May the invitation to the EUTOPIA-SIF Monthly Fellow Seminar, which will take place on Monday 13th May , 13:00-14:30 CET and which you are all very welcome to attend. It will take place during the EUTOPIA days onsite in VUB at Etterbeek campus building I room 1.05 and will, as usual, be accessible online.
The seminar will be held on Zoom : https://cyu-fr.zoom.us/j/96890365434?pwd=d3kxY2tLYkFtMHdJMjk4NVAreXI2UT09
Event Schedule:
| 13:00 – 13:05 | Introduction | ||
| Cohort 2 (2022-2024) | |||
| 13:05 – 13:15 | Fellow Presentation | ||
| Speaker | Jean-Guillaume Feignon (Vrije Universiteit Brussel) | ||
| Project Title | The Chicxulub impact structure and its ejecta: aggregation processes | ||
| Abstract | The Chicxulub impact structure (~200-km in diameter) formed ca. 66 million years ago following the impact of a ~10-12 km asteroid on the Yucatan Peninsula (Mexico). This impact event is well-known to have been a major cause of the Cretaceous-Paleogene (K-Pg) mass extinction, including the non-avian dinosaurs. Recent studies on rock samples recovered within the Chicxulub peak ring have allowed a better understanding of the scenario of the impact. Meanwhile, the dynamics of the impact ejecta cloud formed during the impact are still not fully understood. This EUTOPIA-SIF postdoctoral project deals with the formation and emplacement mechanisms of particle aggregates (called “accretionary clasts”) that formed within the proximal impact ejecta (less than 600 km away from the crater), with an approach based on petrography, geochemistry, and volcanology. Several types of accretionary clasts were found in deposits from the Chicxulub ejecta, but also in ejecta deposits from other large impact structures on Earth, suggesting this process is relatively common. Some accretionary clasts are very similar to those found in explosive volcanic eruption deposits, indicating they formed following similar processes. Investigating these aggregates will allow a better understanding of the interaction between the impact ejecta cloud and atmosphere, and a better assessment of their potential effects on Earth’s climate following the impact. | ||
| 13:15 – 13:20 | Q&A | ||
| Cohort 3 (2023-2025) | |||
| 13:20 – 13:40 | Fellow Presentation | ||
| Speaker | Ashima Bajaj (Vrije Universiteit Brussel) | ||
| Project Title | Boosting automated reaction mechanism discovery using quantum chemical reactivity descriptors | ||
| Abstract | In the ongoing drive to seek out greener and more sustainable chemical synthesis routes, multi-component and one-pot reactions are emerging as an important frontier. The investigation of detailed reaction mechanisms, including activation energies and reaction rates are crucial for predicting the reaction outcomes of such complex systems. Although, in the past decades, Quantum Mechanical (QM) calculations, have effectively shaped our understanding in mechanistic modelling of reactions and catalytic design; their practicality for reaction modelling on a large scale is limited due to significant computational expense and efforts involved. In this project, we will use Machine Learning (ML) as an alternative to QM calculations for automatically identifying the reaction mechanisms and designing more efficient organo-catalysts. In this seminar, I will talk about the challenges associated in training a ML model for predicting reaction properties. The focus will be on boosting the automated reaction discovery by adding more chemical knowledge to the ML model using the Conceptual DFT based quantum chemical reactivity descriptors. | ||
| 13:40 – 13:45 | Q&A | ||
| 13:45 – 14:05 | Fellow Presentation | ||
| Speaker | Hanh Tran (Vrije Universiteit Brussel) | ||
| Project Title | Physicochemical Characteristics and Neuroprotective Effects of Melanins and Melanin Derivatives from Calvatia Craniiformis and Xylaria sp. | ||
| Abstract | Fungal melanins have remarkable bioactivities, but their practical applications are limited, partly due to their hydrophobic nature. Melanin modification with amino acids was reported to improve their water solubility. This talk presents the initial data on neuroprotective effects of melanins and melanin derivatives from selected fungal species against toxins linked to Parkinson’s disease. | ||
| 14:05 – 14:30 | Q&A | ||
