Prof. Jordi Arbiol graduated in Physics at Universitat de Barcelona (UB) in 1997, where he also obtained his PhD (European Doctorate and PhD Extraordinary Award) in 2001 in the field of transmission electron microscopy (TEM) applied to nanostructured materials. He also worked as Assistant Professor at UB. In 2009 he was appointed as ICREA Professor and holds this position since then. From 2009 to 2015 he was Group Leader at Institut de Ciència de Materials de Barcelona, ICMAB-CSIC. He was the President of the Spanish Microscopy Society (SME) from 2017 to 2021, was Vice-President from 2013 to 2017 and from 2009 to 2021 he was Member of its Executive Board. In 2018 he was elected as Member of the Executive Board of the International Federation of Societies for Microscopy (IFSM) (2019-2026). Since 2015 he is the leader of the Group of Advanced Electron Nanoscopy at Institut Català de Nanociència i Nanotecnologia (ICN2), CSIC and BIST. He is Scientific Supervisor of the Electron Microscopy Area at ICN2 and BIST and the Scientific Coordinator of the Joint Electron Microscopy Center at ALBA Synchrotron (JEMCA). He has been one of the founder members of the European Distributed REsearch Infrastructure for Advanced Electron Microscopy (e-DREAM). Since 2023 he is Associate Editor of Nano Letters (American Chemical Society). He received the FWO Commemorative Medal (Flanders Research Foundation) in 2021, the 2018 BIST IGNITE Award and was awarded with the EU40 Materials Prize 2014 (E-MRS), 2014 EMS Outstanding Paper Award and listed in the Top 40 under 40 Power List (2014) by The Analytical Scientist. In March 2025 he has published more than 520 scientific papers, with 35200+ citations and h-index: 105 (GoS)

Prof. Maria Carmen ASENSIO is currently a Professor at Materials Science Institute of Madrid (ICMM) of the Spanish Scientific Research Council (CSIC) a at the CSIC Research Associated Unit : MATINÉE, created between the Institute of Materials Science (ICMUV) of the Valencia Universit and the ICM. Maria C. Asensio commenced her academic career in Argentina. Then she held a Senior Lecturer in Physics at the Autonomous University of Madrid, followed by research positions at the University of Warwick in England and the Fritz Haber Institute of the Max-Planck in Berlin, Germany. In 2004, she was elected Scientific Director of the IUVSTA’ International Union for Vacuum Science, Technique and Applications’ until 2007. Presently she has been chair of the IUVSTA Surface Science Division since 2016 to date. She has been appointed and is acting as an Editorial Member of several reputed scientific journals. Lately, she has been selected by the European Research Council as a Panel Member of the ERC for the Advanced Grant calls (2018-2019 and 2019-2020) of the Condensed Matter Physics Panel.

Paolo Bondavalli is a scientific leader and globally recognised expert in the field of nanomaterials.
Graduated in Solid State Physics from the University of Parma in 1995 (Italy), Paolo Bondavalli earned his PhD in 2000 from the Institute of National Applied Science of Lyon (France), in collaboration with Ecole Centrale, with a thesis focused on MOEMS for gas sensing applications. In 2011, he received his Habilitation (HdR) from Paris Sud University (now Paris Saclay University) for his work on transistors based on nanomaterials.
Paolo had been working for THALES, a French multinational company involved in aeronautics, space, and electronics technologies, for more than 20 years. From 2007 to 2016, he was also part of the joint Thales/CNRS unit, directed by Nobel Prize laureate Albert Fert.

I am an expert in the first-principles simulation of electronic excitations and optical properties of complex materials. My team works in close collaboration with experimental groups on groundbreaking topics in condensed matter physics and optics, but we also engage in the development of theories, methods and scientific software. We use computational material modeling to search for improved electronic and quantum materials and to understand how they can be combined to create heterostructures, alloys, doped crystals or simply new compounds. My studies contribute to the exciting research field of computational materials design, an emerging multidisciplinary topic that brings together innovative work from condensed matter physics, materials chemistry and computer science.

Miguel Caro is originally from a small town (Cartaya) in southwestern Spain. He graduated with a Physics degree from University of La Laguna, Tenerife, Spain. He then moved to Cork, Ireland, where he pursued a PhD in computational condensed-matter physics under Prof. Eoin O’Reilly at the Tyndall National Institute. His thesis work, for which he was awarded his PhD in 2013, focused on theory of III-N alloys, a material system widely used for optoelectronic applications. After the PhD, he moved to Aalto University, Finland as a postdoc in 2013. In 2017 he obtained the Academy of Finland Postdoctoral Researcher grant and since 2020 he is Academy of Finland Research Fellow. Since 2023 he is Senior Scientist at the Department of Chemistry and Materials Science, Aalto University, and leads the Data-driven Atomistic Simulation (DAS) group. Dr. Caro’s current research interests concern the atomistic simulation of real materials, especially carbon-based materials, using a battery of simulation tools and methodologies, from density functional theory to machine learning.

Gerbrand Ceder is the Samsung Distinguished Professor of Engineering at UC Berkeley and a Senior Faculty Scientist at LBNL. His career goal has been to advance materials design through the combination of theory, computation, machine learning, and experiments. He has worked with multiple companies to develop novel materials.
He is a member of the National Academy of Engineering of the US, the Royal Flemish Academy of Belgium for Science and The Art, and the American Academy for the Arts and Sciences. He is a Fellow of MRS, APS, TMS, and ECS, and has received awards from the Electrochemical Society, the Materials Research Society, the Metals Minerals and Materials Society, and the International Battery Association. He is a co-founder of Radical-AI. He leads the Department of Energy program on Earth-Abundant cathode materials (DRX+) and was active in formulating the US Materials Genome Initiative

Sanggyu "Raymond" Chong obtained his BS, MS and PhD degrees in Chemical and Biomolecular Engineering from Korea Advanced Institute of Science and Technology (KAIST), where he primarily focused on the computational design of metal-organic frameworks for applications ranging from gas storage to functional electronics. In March 2022, Sanggyu joined COSMO as a postdoctoral researcher, and he is currently investigating the robustness of local and/or component-wise predictions made by atomistic machine learning models.

Prof. Sonia Conesa-Boj obtained her Ph.D. in Nanoscience and Nanotechnology at the University of Barcelona (Spain) in 2011. Afterwards she moved to a postdoctoral research position at EPFL Lausanne, funded by a Marie-Heim Vogtlin personal fellowship awarded by the Swiss National Science Foundation. After a second postdoc in The Netherlands, in 2016 Dr. Conesa-Boj became Assistant Professor at the Department of Quantum Nanoscience and the Kavli Instiuture of Nanoscience at TU Delft, and since 2020 she's tenured Associate Professor there. The focus of her research is developing novel approaches for the growth and characterisation of low-dimensional nanoscale materials, from nanowires to van der Waals layered materials. She has demonstrated how the exploitation of state-of-the-art Transmission Electron Microscopy techniques provide a unique window to unravel the physical properties of novel nanomaterials. Dr. Sonia Conesa-Boj is the author of more than 40 peer-reviewed publications and her research has been supported, among others, by the award of an ERC Starting Grant and a Dutch "Top Kennis en Innovatie" Consortium grant.

Minh Tuan Dau holds a PhD in physics-chemistry of nanomaterials and nanoscience in 2011 from Aix-Marseille University, France. During his postdoc-engineer research at Paul Drude Institute (Germany) and CEA Genoble (France), he has worked on ferromagnetic Heusler alloys and semiconducting 2D materials. His research has focused on the synthesis, structural analysis, electrical transport and spin- related characterizations of these materials. After work experience as machine learning-deep learning engineer at LiveEO company (Germany), he has appointed associate professor at Université Côte d’Azur since 2021. His current research is to elaborate and study properties of large-scale 2D materials for diverse applications with a focus on brain-mimicking devices and machine leaning/neural network-related software implementation.

Simon M.-M. Dubois is a Research Associate at the Institute of Condensed Matter and Nanosciences at UCLouvain in Belgium. His research focuses on electronic structure theory, with an emphasis on large-scale simulations and low-dimensional materials. Before joining UCLouvain, he was a researcher at the Cavendish Laboratory, University of Cambridge, where he worked on developing functionalities for ONETEP, the linear-scaling code for quantum-mechanical calculations. He later contributed to research on spin transport and magnetic tunnel junctions at the Unité Mixte de Physique CNRS-Thales (now known as the Laboratoire Albert Fert)

Marivi Fernández-Serra is a professor of physics and has been at Stony Brook University since 2008. She received her PhD in 2005 from the University of Cambridge. After this she worked as a postdoc at CECAM (Center for Atomic and Molecular Simulations) in Lyon, France.

Irene García-Camacha Gutiérrez is Associate Professor in the Department of Mathematics at the University of Castilla-La Mancha. Particularly, her expertise area is Statistics and Operations Research. Her main research line is linked to Optimal Experimental Designs Group in which she performed her PhD. In this vein, her main contributions were the development of optimization algorithms, advances in mixture experiments and robust design. She won the Young Researcher Award by the Red Nacional de Biostadística BIOSTATNET in 2017. Furthermore, her research career is characterized by a noticeable multidisciplinary activity, which derived in numerous collaborations with research groups belonging to different fields. Her main contributions in applied statistics belong to the fields of urban design and planning, sports, health and quality of life, and advanced materials. Her social contributions are evidenced from her participation as an active member of the Sociedad Española de Estadística e Investigación Operativa (SEIO), Red Nacional de Bioestadística (BIOSTATNET), Sociedad Española de Bioestadística (SEB), Red Española Matemática-Industria (MATH-IN), and the Instituto de Matemática Aplicada a la Ciencia y la Ingeniería (IMACI).

Janine George is a junior research group leader at BAM in Berlin and a Professor of Materials Informatics at Friedrich Schiller University in Jena. She completed her doctorate in computational solid-state chemistry at RWTH Aachen University in 2017, focusing on the quantum-chemical description of intermolecular interactions and thermal displacement parameters of molecular crystals. In 2018, she began a postdoc and later a Marie-Curie fellowship at UCLouvain in Belgium, working on data-driven approaches for assessing the stability of crystalline materials. Since 2021, she has been at BAM, with her professorship following in 2023. She was a 2021 Falling Walls finalist for Breakthrough of the Year in the Physical Sciences category and received one of four awards for junior scientists in 2023 from the Stiftung Werner-von-Siemens Ring. In 2024, she was awarded funding for an ERC Starting Grant project. Her current research focuses on connecting chemical bonding and materials properties

Dr. Maciej Haranczyk obtained a PhD degree in Chemistry from University of Gdansk in Poland in 2008. During his graduate studies, he received numerous research fellowships to collaborate with researchers at Pacific Northwest National Laboratory, University of Southern California, University of Sheffield, and others. After his graduate school, he moved to Lawrence Berkeley National Laboratory, which had offered him a prestigious Glenn T. Seaborg Fellowship. He was then hired into a tenured Research Scientist position (2010) and subsequently promoted to a Staff Scientist position (2014).

Wide Hogenhout works for the European Commission since 2004. Computer scientist by educational background, with wide experience in different Commission departments linked to digitalisation and materials. In the period 2004-2020 he was working for Future and Emerging Technologies, where he was the project officer for the Graphene Flagship. He joined DG Research and Innovation in the Commission in 2023, where he works in the unit for Industrial Transformation, with a focus on advanced materials and digitalisation of R&I in this area.

Yousung Jung is a Professor of Chemical and Biological Engineering at Seoul National University. He received the Ph.D. in Theoretical Chemistry from University of California, Berkeley. After a postdoctoral work at Caltech, he joined the faculty at KAIST in 2009. He then moved to SNU in 2023. His research interests involve computational chemistry and machine learning to understand and design novel molecules and materials with desired properties. One of the main current interests is to predict the synthesis of molecules and materials based on data and machine learning. He is the recipient of Shin Kook Joe Academic Award (2023, Korean Chemical Society), Hanseong Science Award (2021, Hanseong Son Jae Han Scholarship Foundation), Pole Medal (2018, Asia-Pacific Association of Theoretical and Computational Chemists), Korean Chemical Society Young Physical Chemist Award (2017), Chemical Society of Japan Distinguished Lectureship Award (2015), and KCS-Wiley Young Chemist Award (2013).

Dr. Natalia Konchakova is a senior scientist at Helmholtz-Zentrum Hereon, Germany. She works in the fields of materials modelling, simulation and characterization of lightweight metals, and digitalization of innovative advanced materials. Natalia is an active member of the European Materials Modelling Council, AMI 2030 and Innovative Advanced Materials Initiative (IAM-I). She is the Chair of the EMMC Organizational Assembly and the co-chair of the working group "Digitalization and Data Management" of AMI 2030. Natalia plays an active role in the preparation of the Strategic Research and Innovation Agenda (SRIA) and the Concept Paper of the IAM4EU partnership.
Dr. Konchakova is the coordinator of the H2020 European project VIPCOAT: ‘Virtual Open Innovation Platform for Active Protective Coatings Guided by Modelling and Optimization’ (DT-NMBP-11-2020, Grant Agreement No 952903). The aim of the project is to assist engineers in coating manufacturing in developing novel environmentally friendly active protective coatings and to advice accelerated test scenarios for their durability based on standardized simulation workflows.
Natalia Konchakova is also the coordinator of Horizon Europe project DigiPass CSA, which is focused on harmonization of advanced materials ecosystems serving strategic innovation markets to pave the way to a Digital Materials & Product Passport (HORIZON-CL4-2023-RESILIENCE-01, Grant Agreement No 101138510). DigiPass provides coordination and knowledge sharing across materials development communities.

Florian Marquardt is a theoretical physicist whose current focus is on applying machine learning to scientific discovery and discovering physical systems that help for machine learning. He has a long-standing track record in areas bridging nanophysics and quantum optics, among them significant contributions to the theory of cavity optomechanics and the theory of superconducting circuit quantum electrodynamics. He is currently a scientific director at the Max Planck Institute for the Science of Light in Erlangen, Germany, as well as a professor at the local university. He studied at the university of Bayreuth, Germany, thendid his PhD in Basel, Switzerland (finishing in 2002), afterwards went on to a postdoctoralstay at Yale university and a junior research group leader position at the university of Munich, before moving to Erlangen.

Nicola Marzari holds the Chair of Theory and Simulation of Materials at the École Polytechnique Fédérale de Lausanne, where he also directs the Swiss national center for Computational Design and Discovery of Novel Materials MARVEL. He heads the Laboratory for Materials Simulations in the PSI Center for Scientific Computing, Theory, and Data at the Paul Scherrer Institute, and holds an Excellence Chair at the University of Bremen. Previous tenured positions include the Toyota Chair for Materials Processing at the Massachusetts Institute of Technology and the Statutory Chair of Materials Modeling at the University of Oxford. He has a Laurea in Physics from the University of Trieste, and a PhD in Physics from the University of Cambridge.

Dr. Omer Omar is a research coordinator in theoretical chemistry at the University of Liverpool, where he earned his Ph.D. in 2023. His expertise lies in high-throughput virtual screening for organic electronics discovery. Currently, he leads the development of the DiaDEM platform, designed to accelerate R&D in organic electronics. The platform integrates a comprehensive compound database with electronic properties, cutting-edge computational tools, and direct access to the chemical supply chain for rapid material discovery.

Kristin Persson uses atomistic and first-principles computational methods coupled with high-performance computing technology and machine learning to advance materials for clean energy production and storage. She is also the Director of the Molecular Foundry, a DOE user facility for nanoscale science, and the Director of the Materials Project (www.materialsproject.org), a multi-national effort to compute the properties of all inorganic materials and provide the data and associated analysis algorithms free of charge. The ultimate goal of the initiative is to drastically reduce the time needed to invent new materials to serve societal needs, in particular advancing clean energy solutions. Within the Persson group, we leverage the software and data infrastructure of the Materials Project together with our expertise in materials informatics to study the physics and chemistry of materials particularly for energy production and storage applications. Current focus areas include design of novel photocatalysts, multi-valent battery electrode materials, Li-ion battery electrode materials, polar materials and liquid electrolytes for Li energy storage solutions and beyond.

Dr. Pablo M. Piaggi is currently an Ikerbasque Research Fellow in the Theory Group at CIC nanoGUNE, San Sebastian, Spain. He received his Ph.D. in Materials Science and Engineering in 2019 from EPFL, Switzerland working in the research group of Prof. Michele Parrinello. From 2019 to 2023 he held a postdoctoral position in the Department of Chemistry at Princeton University, USA. Piaggi has received several awards for his work on the use of advanced simulation methods to study phase equilibria and crystallization phenomena, including the 2021 IBM Research Award, and his work on machine learning applied to molecular simulation has been cited as a significant advance in the announcement of the 2024 Nobel Prize in Physics. In 2019 he was awarded a postdoctoral mobility fellowship from the Swiss National Science Foundation (SNSF) and in 2023 he was selected as a fellow of Ikerbasque, the Basque Foundation for Science. Dr. Piaggi and his team work on the development and application of atomistic machine learning and simulation methods, which are rooted in artificial intelligence, statistical mechanics, and quantum mechanics.

G.-M. Rignanese is Professor at the Ecole Polytechnique de Louvain (EPL) and Research Director at the F.R.S.-FNRS. He received his Engineering degree from the Université catholique de Louvain in 1994 and Ph.D. in Applied Sciences from the Université catholique de Louvain in 1998. During his Ph.D., he also worked as a Software Development Consultant for the PATP (Parallel Application Technology Project), collaboration between CRAY RESEARCH and Ecole Polytechnique Fédérale de Lausanne (EPFL) in the group of Prof. Roberto Car. He carried his postdoctoral research at the University of California at Berkeley in the group of Prof. Steven Louie. In 2003, he obtained a permanent position at the Université catholique de Louvain. In 2022, he was appointed as Adjunct Professor at the Northwestern Polytechnical University in Xi'an (China). In 2019, he was named APS Fellow for original efforts developing free license software in the field of electronic structure calculations, and high-throughput calculations in a broad range of materials types.

Dr. Rossi is a researcher at the Istituto Italiano di Tecnologia (IIT), specializing in the synthesis and characterization of two-dimensional (2D) materials within the 2D Materials Engineering group led by Dr. Camilla Coletti. He holds a Ph.D. in Condensed Matter Physics from Scuola Normale Superiore, where his research focused on the growth, characterization, and device fabrication of 2D vertical heterostructures. This foundational work has shaped his current endeavors, which integrate artificial intelligence (AI) to optimize the growth processes of materials like tungsten disulfide (WS₂), graphene, and hexagonal boron nitride (h-BN). Dr. Rossi employs advanced techniques such as Raman spectroscopy, angle-resolved photoemission spectroscopy (ARPES), and atomic force microscopy (AFM) to investigate and enhance the properties of these materials.

I am currently a staff scientist in David Goldhaber-Gordon's lab at Stanford University.
At Stanford, my research focuses on semi-automated assembly of van der Waals stacks and collaborating with several research groups to improve data analysis using statistical and deep learning models.
I received my Master's degree from RWTH Aachen University, where I developed statistical models for automated 2D material flake detection, and collaborated between the Condensed Matter and Computer Vision chairs to develop AI models that integrate physical theory to learn from extremely limited data sets.
Some of my current projects include voltage curve prediction for 2D transistors, simulation inversion to extract coupling parameters from neutron scattering data, and hyperspectral image analysis using deep learning models.
In my spare time, I serve as a board member for AI in Physics at the German Physical Society (DPG), where I focus on education and outreach related to large language models (LLMs) for scientific applications.
I am particularly interested in language modelling, especially BERT-type models, 2D materials, and mechanistic interpretability.

Andrey Ustyuzhanin, Adjunct Professor of Computer Science at CUB and Visiting Research Professor at the Institute of Functional Intelligent Materials of NUS (Singapore). Andrey specializes in AI, machine learning, and computational modeling across domains, including material science and particle physics. AU’s expertise features simulation-driven prediction, advanced scoring models, and AI-guided generation. Andrey has been the PI on interdisciplinary AI research projects; his present interest focuses on designing multiscale modelling techniques for finding new computational materials

Prof. Tejs Vegge has been an innovator of clean energy materials for >20 years, working on accelerating the clean energy materials discovery and innovation process. He is an internationally leading expert in the field of Materials Acceleration Platforms for advanced battery materials, electrocatalysis and next-generation clean energy storage solutions. He the Director of the large-scale & long-term Danish National Research Foundation Pioneer Center initiative "CAPeX: Pioneer Center for Accelerating P2X Materials Discovery" (www.capex.dtu.dk) and the coordinator of the Battery Interface Genome–Materials Acceleration Platform (BIG-MAP) project (www.big-map.eu)

Chiara Zanardi is Full Professor of Analytical Chemistry at the Department of Molecular Sciences and Nanosystems of the Ca’ Foscari University of Venice and associated to the Institute for Organic Synthesis and Photoreactivity of the National Research Council of Italy. She received the degree in Industrial Chemistry from the University of Bologna and the PhD in Chemical Sciences from the University of Modena and Reggio Emilia in Italy. Her expertise mainly concerns the application of innovative materials and nanomaterials in amperometric sensing for the monitoring of biomarkers for human health, of environmental pollutants and of drugs of abuse. She is the co-author of more than 100 papers printed on peer-review journals, two patents, one book and three book chapters dealing with modified electrodes in electroanalysis