School on Machine Learning for Molecules and Materials Research, 9-13.6.2025, Zadar, HR (Milica Todorović, invited speaker)
Computational Chemistry days,Innovative Approaches to Semiconductor Surface Oxidation Studies Using Active Learning and MLIP, 2-3.5.2025, Espoo, FI (Ondřej Krejčí, poster presentation)
High-throughput workflow for heterocatalyst screening, 5-8.5.2025, Espoo, FI (Ondřej Krejčí, speaker)
PV600: Annotated dataset of perovskite bandgaps for information extraction from literature, 5-8.5.2025, Espoo, FI (Matilda Sipilä, poster presentation)
Democratising information extraction: web application M-PIE for materials property extraction from scientific texts, 5-8.5.2025, Espoo, FI (Henri Haapanen, poster presentation)
Active Learning of Microstructure-Property Relations in Hybrid Materials, 1-6.12.2024, Boston, USA (Milica Todorović, speaker)
Active Learning of Microstructure-Property Relations in Hybrid Materials, 1-6.12.2024, Boston, USA (Milica Todorović, speaker)
Question Answering models for information extraction from perovskite materials science literature, 1-6.12.2024, Boston, USA (Matilda Sipilä, speaker)
Critical Materials for Energy—Extraction, Functionality and Recycling, A Data-Driven Optimization of Materials Recovery in Battery Recycling Processes, 1-6.12.2024, Boston, USA (Milica Todorović, speaker)
The 2nd edition of Turku Imaging Day Seminar, Identifying Critical Energy Materials from SEM Microscopy Images of Li-Ion Battery Waste, 23.10.2024 BioCity, Turku, FI. (Reza Amrollaheian, invited speaker)
Chemical Compound Space Conference, Active learning for data-efficient optimisation of functional materials, 21-24.5.2024, Heidelberg, DE (Milica Todorović, invited speaker)
Materials design of inorganic crystals with 3D transformers, 13-17.5.2024, Ljubljana, SI (Christer Söderholm, speaker)
Application of the Question Answering method to extract information from materials science literature, 13-17.5.2024, Ljubljana, SI (Matilda Sipilä, speaker)
Tuning Oxidized Crystalline Semiconductor Surfaces with First Principles Modelling and Bayesian Optimization (Konstantinos Konstantinou, poster presentation)
Data Digitalization Strategies for AI-driven Experimentation (Mohammed Zniber, poster presentation)
Visual representation of materials and their properties (Tomasz Galica, poster presentation)
Data-driven multimodal XPS study of molecular adsorbates on atmospheric aerosol nanoparticles (Abdurrahman Adhyatma, poster presentation)
Scientific seminar, Active learning for data-efficient optimisation of materials and processes, 29.4.2024, Warwick, UK (Milica Todorović, invited speaker)
