Events

2026

  • E-MRS 2026 Fall Meeting & Exhibit, Computational Investigation of NO₂ Sensing on Heterophase WSe₂ using Bayesian Optimization, 14.-17.9.2026, Warsaw, PL, (Abhilash Patra, contributed talk)
  • AiMat Summer School: Machine learning for molecules, Human-in-the-Loop Active Learning for Accelerated Materials Discovery, 14-18.9.2026, Karlsruhe, DE, (Ashiq Muhammed Kozhikkattil, Poster presentation)
  • Advances in PES Exploration for Complex Materials, Active Learning Structure Search Study of Dopamine Adsorption on Single-Chirality (6,6) SWCNTs, 14.-17.9.2026, Berlin, DE, (Saara Sippola, Poster presentation)
  • CECAM Workshop: Frontiers in modelling charge and proton transport for energy materials, Atomistic Modelling of Semiconductor Materials in Complex Environments, 7.-9.9.2026, Bologna, IT, (Marco Severi, Poster presentation)
  • 2026 symposium on Machine Learning for Materials and Molecular Discoveries (ML2MD), Data-efficient computational design of fed-batch fermentation strategies for bio-plastics, 17.-19.6.2026, Uppsala, SE (Brigitta Bachmair, contributed talk)
  • 23rd International Symposium on Non-Oxide and New Optical Glasses (ISNOG), Nature of Electronic Excitations in Amorphous Phase-Change Memory Materials: Ge2Sb2Te5, 14 -17.6.2026, Copenhagen, DK, (Konstantinos Konstatinou, contributed talk)
  • ML4MATSCI: Hands-on Machine Learning for Research in Materials Sciences, Human-in-the-Loop Active Learning for Accelerated Materials Discovery, 10-12.6.2026, Sarajevo, Bosnia (Ashiq Muhammed Kozhikkattil, Poster presentation)
  • FINNISH Neuromorphic Systems 2026, The quest for defects in phase-change memory materials: structural and electronic aspects, 10.-11.6.2026, Turku, FI (Konstantinos Konstatinou, invited speaker)
  • International Conference on Electroanalysis, Exploring the Nature of Dopamine Adsorption on SWCNTs for Electrochemical Sensing, 7.-11.6.2026, Lisbon, PT (Saara Sippola, Poster presentation)
  • Introduction to information extraction from a minicorpus, 9.6.2026, Delft, NL (Workshop, Matilda Sipilä)
  • Artificial Intelligence, Neuromorphic Learning, and Quantum Technologies in Functional Materials, 1.-5.6.2026, Thessaloniki, GR (Instructor, Milica Todorović)
  • 2026 Spring Meeting of the European Materials Research Society (E-MRS), AI-driven recognition of RHEED pattern features for MBE monitoring, 25-29.5.2026, Strasbourg, FR (Vadim Gorshanov, contributed talk)
  • Computational Chemistry days, Optical properties of Defects in Amorphous Phase-Change Memory Materials, 25.-26.5.2026, Helsinki, FI (Biswarup Biswas, contributed talk)
  • Artificial Intelligence for Advanced Materials (AI4AM2026), Advances in active learning for materials optimisation, 19.-21.5.2026, Madrid, ES (Milica Todorović, invited speaker)
  • Information extraction of materials properties with question answering method, 4.5.2026, Delft, NL (Workshop, Matilda Sipilä)
  • CaMML-Chemistry and Materials Machine Learning School 2026, Optical Properties of Defects in Amorphous Phase-Change Memory Materials, 13.-17.04.2026, Daresbury Laboratory, UK (Biswarup Biswas, poster presentation)
  • Chemistry Days 2026, 15.-16.4.2026, Helsinki, FI
    • Active Learning Structure Search Study of Dopamine Adsorption on Single-Chirality SWCNTs (Saara Sippola, contributed talk)
  • Physics Days 2026, 4.-6.3.2026, Espoo, FI
    • Uncovering the Dopamine Sensing Functionality of Single-Chirality SWCNTs, (Saara Sippola, contributed talk)
    • M-PIE: web application for extracting information on perovskites from text (Matilda Sipilä, contributed talk)
    • Decoding Aerosol Surface Chemistry: Insights from XPS Spectra via DFT and Machine Learning (Mandira Das, contributed talk)
  • Chemical Compound Space Conference 2026 , Active learning for data-efficient optimisation of functional materials, 10-13.3.2026, Munich, DE, (Milica Todorović, invited speaker)
  • Scientific seminar, Computational materials engineering with active learning, 27.02.2026, Madrid, ES (Milica Todorović, invited speaker)
  • Scientific seminar, Computational materials engineering with active learning, 12.02.2026, Madrid, ES (Milica Todorović, invited speaker)
  • Scientific seminar, Advances in active learning for materials optimisation, 15.01.2026, Gothenburg, SE (Milica Todorović, invited speaker)

2025

  • MRS Fall Meeting 2025, Multi-fidelity active learning structure search, 30.11.-5.12.2025, Boston, USA (Milica Todorović, invited speaker)
  • Aalto AI day, Innovative Approaches to Semiconductor Surface Oxidation Studies Using Active Learning and MLIP, 13.11.2025, Espoo, FI (Ondřej Krejčí, poster presentation)
  • SusML: Towards sustainable exploration of chemical spaces with machine learning, 29.09-1.10.2025, Dresden, DE (Milica Todorović, organiser)
  • 2025 Fall Meeting of the European Materials Research Society (E-MRS), Computational materials engineering with active learning, 15-18.9.2025, Warsaw, PL (Milica Todorović, invited speaker)
  • Psi-k Conference, Multi-fidelity Bayesian optimisation structure search, 25-28.8.2025, Lausanne, CH (Milica Todorović, invited speaker)
  • Psi-k Conference, 25-28.8.2025, Lausanne, CH
    • Multi-fidelity Bayesian optimisation structure search (Milica Todorović, invited speaker)
    • Innovative Approaches to Semiconductor Surface Oxidation Studies Using Active Learning and MLIP (Ondřej Krejčí, poster presentation)
  • ML4MatSci: Hands-on Machine Learning for Research in Materials Sciences, Deep Learning for Spectroscopy, 22-24.7.2025, Aschaffenburg, DE (Milica Todorović, invited speaker)
  • Strategic Scientific Workshop Aarhus Bayreuth, Active Learning for Materials Optimisation, 30.6-4.7.2025, Bayreuth, DE (Milica Todorović, invited speaker)
  • Atomistic Modeling Center (AMC) seminar, Computational materials engineering with active learning, 27.6.2025, Munich, DE (Milica Todorović, invited speaker)
  • Virtual Laboratory for Molecular Level Atmospheric Transformations (VILMA) seminar, Decoding the surface modifications of aerosol particles through experiments, simulations and data science, 8.5.2025, Helsinki, FI (Milica Todorović)
  • School on Machine Learning for Molecules and Materials Research, 9-13.6.2025, Zadar, HR
    • Bayesian optimization of materials and molecular properties (Milica Todorović, invited speaker)
    • Decoding Aerosol Surface Chemistry: Insights from XPS Spectra via DFT and Machine Learning (Mandira Das, contributed talk)
    • Active Learning Structure Search Study of 17-Beta-Estradiol Adsorption on Graphene (Saara Sippola, poster presentation)
    • Mapping materials space: graph-based representation using ForceAtlas2 and MEGNet (Tomasz Galica, poster presentation)
  • Computational Chemistry days, 2-3.5.2025, Espoo, FI 
    • Decoding Aerosol Surface Chemistry: Insights from XPS Spectra via DFT and Machine Learning (Mandira Das, contributed talk)
    • Active Learning Structure Search Study of 17-Beta-Estradiol Adsorption on Graphene (Saara Sippola, contributed talk)
    • Innovative Approaches to Semiconductor Surface Oxidation Studies Using Active Learning and MLIP (Ondřej Krejčí, poster presentation)
  • Optics and Photonics Days, AI-driven Optimization of Antireflective Coatings, 03-05.06.2025, Oulu, FI (Mohammed Zniber, poster presentation)
  • Belgiun-German WE-Heraeus Seminar : ‘Machine Learning for Spectroscopy’, 26- 28.05.2025, Brussels, BE 
    • Decoding Aerosol Surface Chemistry: Insights from XPS Spectra via DFT and Machine Learning (Mandira Das, contributed talk)
    • Exploiting Materials Symmetry to Accelerate Bayesian Optimization Structure Search in Computational Atomistic Studies (Abdurrahman Adhyatma, poster presentation)
  • Machine Learning for Materials Discovery ML4MD, 5-8.5.2025, Espoo, FI (Milica Todorović & Tomasz Galica, organisers)
    • High-throughput workflow for heterocatalyst screening, (Ondřej Krejčí, speaker)
    • Exploiting Materials Symmetry to Accelerate Bayesian
      Optimization Structure Search in Computational Atomistic
      Studies, (Abdurrahman Adhyatma, speaker)
    • AI-driven Optimization of Antireflective Coatings, (Mohammed Zniber, poster presentation)
    • Enhancing Battery Recycling Efficiency with Multi-Objective Optimization and Entropy Analysis, (Masoud Jalayer, poster presentation)
    • PV600: Annotated dataset of perovskite bandgaps for information extraction from literature, (Matilda Sipilä, poster presentation)
    • Democratising information extraction: web application M-PIE for materials property extraction from scientific texts, (Henri Haapanen, poster presentation)
    • XPS of Aerosol Particle: a combined ML and DFT approach (Mandira Das, poster presentation)
    • Active Learning Structure Search Study of 17-Beta-Estradiol Adsorption on Graphene (Saara Sippola, poster presentation)
  • CSC Spring School in Quantum Chemistry 2025, 23-25.4.2025, Espoo, FI
    • Active machine learning for quantum chemistry and Supervised machine learning for quantum chemistry (Milica Todorović, invited speaker)
    • Active Learning Structure Search Study of 17-Beta-Estradiol Adsorption on Graphene (Saara Sippola, poster presentation)
  • MRS Spring Meeting 2025, Interpretable AI for Materials Optimization with Active Learning, 7-11.4.2025, Seattle, USA (Milica Todorović, invited speaker)

2024

2023