Presentations

7th Presentation | Symbolic regression: re-assessing fluid properties through analytical equations derived exclusively from data with physics-based descriptions | Filippos Sofos

You can watch presentation’s rercording here! NanoAI welcomes Filippos Sofos who will present his work, titled “Symbolic regression: re-assessing fluid properties through analytical equations derived exclusively from data with physics-based descriptions”. As always, an open discussion will follow. When? June 3rd, 15:00 Greece Where? https://meet.jit.si/nanoai-ncsr Description: This presentation incorporates Symbolic Regression (SR) to propose simple and accurate […]

6th Presentation |Generating realistic nanorough surfaces via a Generative Adversarial Network | Vasilis Sioros

You can watch presentation’s rercording here! NanoAI welcomes Vasilis Sioros who will present his work, titled “Generating realistic nanorough surfaces via a Generative Adversarial Network”. As always, an open discussion will follow. When? May 6th, 15:00 Greece Where? https://meet.jit.si/nanoai-ncsr Description: This work examines the possibility of providing multi-physics simulations with a computationally inexpensive way of integrating new […]

5th Presentation |SmartDeZIgn: Towards the Design of Functional Materials with Separation Performance on-demand | Panagiotis Krokidas and George Giannakopoulos

NanoAI welcomes Panagiotis Krokidas and George Giannakopoulos who will present their collaborative work, titled “SmartDeZIgn: Towards the Design of Functional Materials with Separation Performance on-demand”. As always, an open discussion will follow. When? April 1st, 15:00 Greece Where? https://meet.jit.si/nanoai-ncsr Description: With CO2 emissions being an eminent threat of unprecedent global impact, cheap ways to separate it from […]

4th Presentation | Development of coarse-grained molecular simulation models invoking machine learning techniques | Dimitris Nasikas

NanoAI welcomes Dimitris Nasikas, who, in the context of his M.Eng thesis, will present his interdisciplinary work on neural networks applied for molecular simulations, titled “Development of coarse-grained molecular simulation models invoking machine learning techniques”. As always, an open discussion will follow. When? October 1st, 16:00 Central European Time. / 15:00 Greece Where? https://meet.jit.si/nanoai-ncsr Description: […]

3d Presentation | A Personalized Machine-Learning-enabled Method for Efficient Research in Ethnopharmacology | Andreas Kontogiannis

Review the recording! This week’s main speaker is Andreas Kontogiannis (M.Eng) and the presentation is titled “A Personalized Machine-Learning-enabled Method for Efficient Research in Ethnopharmacology. The case of Southern Balkans and Coastal zone of Asia Minor” A discussion will follow in which everyone is invited to share their perspectives on the previous/future actions of NanoAI. […]

1st Workshop – Machine learning hints: Which tool for which problem? | George Giannakopoulos

Review the workshop recording! In this workshop, Dr. George Giannkopoulos gave an introduction to Machine Learning and its capabilities. Discussions ensued regarding the applicability of such techniques in real-life scenarios and other disciplines.   George Giannakopoulos came to love Informatics and Artificial Intelligence since his early days. This love led him to obtain a BSc […]

2nd Presentation: Hybridizing AI and domain knowledge in nanotechnology | Antonis Stellas

Review the Presentation Video & Slides and related publication Manufacturers and researchers who are working with the quantitative characterization of nanostructure morphologies often deal with the challenge of understanding the link between the structure of their surface and the respective property that they want to achieve. This link is difficult to understand and model due […]

1st Presentation: Molecular Simulations & Machine Learning in a materials design case study | Stelios Karozis

Access the Presentation Material and Rercordings Here! Date: 2 April 2021 Speaker: Stelios Karozis The exponential growth of computational power offers significant opportunities for more detailed studies of physical systems. The simulation of the physical world could be categorized based on the spatial and time resolution under study, as (a) macroscopic, (b) mesoscopic and (c) […]