You can watch presentation’s recording here! NanoAI welcomes Evangelia Drakopoulou who will present her work, titled “Machine Learning techniques in Neutrino Experiments”. As always, an open discussion will follow. When? January 19th, 15:30 Greece Description: Machine Learning techniques have gained ground in particle physics for the efficient way of solving problems. In this talk I will discuss the […] You can watch presentation’s recording here! NanoAI welcomes George Giannakopoulos who will present his work, titled “Co-creating an AI-enabled software infrastructure to empower Natural Sciences in NCSR “Demokritos””. As always, an open discussion will follow. When? December 22nd, 15:30 Greece Description: In this presentation we will set the foundations of an endeavor to create a horizontally applicable software […] You can watch presentation’s rercording here! NanoAI welcomes Eleonora Ricci who will present his work, titled “Coarse Grained Molecular Simulations Facilitated By Machine Learning”. As always, an open discussion will follow. When? November 3rd, 15:30 Greece Description: Molecular simulations offer deep insight into the microscopic mechanisms underlying macroscopic behavior, supporting theoretical development and the discovery of structure-property […] You can watch presentation’s rercording here! NanoAI welcomes Filippos Tourlomousis who will present his work, titled “AI-Driven Autonomous Materials Engineering Platforms”. As always, an open discussion will follow. When? October 6th, 15:30 Greece Description: There is a growing interest to leverage data-driven models (AI and ML) to help discover new materials, accelerate material optimization, and lower costs […] You can watch presentation’s rercording here! NanoAI welcomes Dimitris Koutromanos who will present his work, titled “Quantum machine learning: an exciting novel path”. As always, an open discussion will follow. When? September 16th, 15:30 Greece Description: How can one combine Machine Learning (ML) with Quantum Computing (QC) to form new computation and programming paradigms? Our presentation will […] 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 […] 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 […] 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 […]
12th Presentation | Machine Learning techniques in Neutrino Experiments | Evangelia Drakopoulou
11th Presentation | Co-creating an AI-enabled software infrastructure to empower Natural Sciences in NCSR “Demokritos” | George Giannakopoulos
10th Presentation | Coarse Grained Molecular Simulations Facilitated By Machine Learning | Eleonora Ricci
9th Presentation | AI-Driven Autonomous Materials Engineering Platforms | Filippos Tourlomousis
8th Presentation | Quantum machine learning: an exciting novel path | Dimitris Koutromanos
7th Presentation | Symbolic regression: re-assessing fluid properties through analytical equations derived exclusively from data with physics-based descriptions | Filippos Sofos
6th Presentation |Generating realistic nanorough surfaces via a Generative Adversarial Network | Vasilis Sioros
5th Presentation |SmartDeZIgn: Towards the Design of Functional Materials with Separation Performance on-demand | Panagiotis Krokidas and George Giannakopoulos