Τμήμα Επιστήμης & Μηχανικής Υλικών
27 Ιουνίου 2023
Δείτε τα αποτελέσματα.27 Ιουνίου 2023
Δείτε τα αποτελέσματα.27 Ιουνίου 2023
Δείτε το αποτέλεσμα.23 Ιουνίου 2023
Θα πραγματοποιηθεί την
Πέμπτη 29/06/2023 και ώρα 12:00
στην αίθουσα Α2 του Κτιρίου Τμήματος Επιστήμης Υπολογιστών
Θέμα Διπλωματικής:
«Machine Learning Models for Heterogeneous Catalysis Data»
Διμελής Επιτροπή: Ιωάννης Ρεμεδιάκης, Γεώργιος Κοπιδάκης
Abstract: Machine learning (ML) has become a promising approach to predict and optimize catalytic systems in recent years. By using ML models, researchers can rapidly screen and identify the most effective catalysts and reaction conditions, reducing the time and cost required for experimental trials. One of the main challenges in catalysis research is the complexity of the reaction mechanisms involved. ML algorithms can be used to extract useful insights from large and complex datasets, which can be used to identify key factors affecting catalytic performance. The objective of this work is to develop ML models specifically designed for predicting adsorption energies of density functional theory (DFT) calculations. The study involves the collection and integration of diverse data sources, including DFT calculations and elemental properties, to construct a robust dataset. Three prominent regression models, namely linear regression, support vector regression, and random forest regression, are employed to model the relationship between the input features and the adsorption energies. Overall, ML has great potential in catalysis research, and it is expected to play a significant role in the development of new catalytic materials and processes in the future. The application of ML models in catalysis data analysis can lead to a more efficient and sustainable chemical industry, with reduced environmental impact and improved economic benefits.23 Ιουνίου 2023
Θα πραγματοποιηθεί την
Δευτέρα 26/06/2023 και ώρα 10:00
στην Α210 του Κτιρίου Τμήματος Μαθηματικών και Εφαρμοσμένων Μαθηματικών
Θέμα Διπλωματικής:
«Production and characterization of electrospun membranes from polyvinyl alcohol and gelatin»
Διμελής Επιτροπή: Μαρία Χατζηνικολαΐδου και Μαρία Βαμβακάκη
Abstract: Electrospinning is a technique used to produce nanofibrous membranes from polymer solutions using a high voltage electric field. These membranes can be applied as flexible porous scaffolds that mimic the extracellular matrix morphology of human tissues. In this work, a solution composed of 5% w/v of polyvinyl alcohol (PVA) and 5% w/v of bovine skin gelatin was used for the fabrication of electrospun membranes, following optimization of the composition. The successfully produced nanofibrous PVA-gelatin membranes have been evaluated for their physicochemical properties including morphological visualization by means of scanning electron microscopy, contact angle, swelling and degradation rates, and Fourier-transform infrared spectroscopy. Moreover, the produced PVA-gelatin membranes have been evaluated for their cytotoxicity and cell adhesion in a fibroblasts culture. The results indicate an increased cell viability from day 2 up to day 7 and a strong cell adhesion, demonstrating the potential of the produced nanofibrous PVA-gelatin membranes to be used as scaffolds in tissue engineering.
20 Ιουνίου 2023
Τίτλος
«Ultrashort Laser Wave Packet Sculpting for Optimized Materials Engineering»
του Απόστολου Κυριακάκη
μεταπτυχιακού φοιτητή του Τμήματος Επιστήμης και Τεχνολογίας Υλικών του Πανεπιστημίου Κρήτης
Επιβλέπων Καθηγητής: Στέλιος Τζωρτζάκης
Πέμπτη 22 Ιουνίου 2023
Ώρα 14:00
H παρουσίαση θα πραγματοποιηθεί στην αίθουσα Α2, στο κτήριο του Τμήματος Επιστήμης Υπολογιστών, του Πανεπιστημίου Κρήτης
Abstract Direct Laser Writing (DLW) is a well-established additive manufacturing technique that offers great resolution and precision. In the quest though of high throughput processing, DLW falls short due to the time-consuming point-by-point writing. To address this issue, a Holographic Multi-Foci 3D Printing technique is studied in this thesis. The time-optimized laser beam shaping is then used in two applications. The first application is the fabrication of 3D periodic structures with high micro-featured porosity, coated with ZnO Nanorods (NRs). Our time-efficient printing method enables the accelerated fabrication of complex structures through parallel processing and offers the ability to scale up the structure dimensions for practical applications, such as photocatalytic degradation of toxic substances. In the frame of this MSc thesis, we also investigated the relation between the reaction rate and the porosity of the structures by studying the photodegradation rate of organic pollutants over time, under UV light irradiation, in samples with different porosity. In the second application we explored the detection of harmful substances, such as pesticides, in extremely small concentrations (ppb). We developed 2D meta-surfaces through the parallel processing (Multi-Foci Parallel Ablation) on thin layers of gold. These materials have E/M response in the THz frequency region, which is ideal for the detection of pollutants and other chemical residues.20 Ιουνίου 2023
Τίτλος
« Synthesis and Characterization of 2D Layered Halide Perovskite Quantum Wells»
Υπότιτλος:
Synthesis and characterization of the (CH3(CH2)5NH3)2(CH3NH3)n-1PbnBr3n+1 homologous series.
του Απόστολου Παντούσα
μεταπτυχιακού φοιτητή του Τμήματος Επιστήμης και Τεχνολογίας Υλικών του Πανεπιστημίου Κρήτης
Επιβλέπων Καθηγητής: Κωνσταντίνος Στούμπος
Τρίτη 27 Ιουνίου 2023
Ώρα 12:00
H παρουσίαση θα πραγματοποιηθεί στην αίθουσα Β2, στο κτήριο του Τμήματος Χημείας, του Πανεπιστημίου Κρήτης
Abstract Perovskites are a class of semiconducting materials with great interest in optoelectronic applications due to their high efficiency, high absorption coefficients and low cost. Two-dimensional (2D) perovskite structures provide the ability to further tune these properties and manufacture high-performance devices . In this work, we focus on the synthesis and characterization of a new homologous series of 2D layered lead halide perovskites based on the CH3NH3PbBr3 bulk perovskite. The homologous series, with general formula (CH3(CH2)5NH3)2(CH3NH3)n-1PbnBr3n+1, where n corresponds to the number of layers of the perovskite, produces a fertile ground for the study of quantum wells, since the alternating organic and inorganic layers generate a natural, periodic quantum well structure . By tuning the thickness, we control the degree of dielectric and quantum confinement of the photogenerated carriers inside the inorganic layers, thus creating a series of compounds with tunable optical properties in the visible spectrum range. The compounds were synthesized in pure form and their crystal structure was determined via single-crystal X-ray diffraction. The structural phase transitions were monitored via Differential Scanning Calorimetry (DSC) in the -80 – 120 oC temperature range while the optical properties were studied via steady-state and time-resolved photoluminescence (PL) spectroscopy in the -195- 25 oC temperature range. The results suggest that the new compounds are excellent excitonic model systems and can be employed in specific applications like LEDs and lasers.15 Ιουνίου 2023
Οι φοιτητές/τριες που πληρούν τις προϋποθέσεις για την απόκτηση πτυχίου πρέπει να καταθέσουν τη σχετική αίτηση στη γραμματεία, ηλεκτρονικά μέσω του ιδρυματικού τους email, το διάστημα 19/6/2023 – 25/6/2023.
Οι φοιτητές/τριες πρέπει να επιστρέψουν την φοιτητική τους ταυτότητα (σε περίπτωση απώλειας, θα πρέπει να προσκομίσουν δήλωση απώλειας ή κλοπής από την αστυνομία).
Στην περίπτωση που περιμένετε την βαθμολογία σε μαθήματα, παρακαλούμε όπως σημειώσετε τους κωδικούς των μαθημάτων στο τέλος της αίτησης.
15 Ιουνίου 2023
Δείτε την ανακοίνωση.