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DTSTART;TZID=UTC:20250805T080000
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SUMMARY:COST NanoSpace - AI in Astrochemistry Training School 2025
DESCRIPTION:Training School Materials \nMotivation and overview\nArtificial intelligence (AI) and machine learning (ML) have suddenly emerged as game-changing tools across diverse scientific disciplines. This includes astronomy -including observational astronomy\, laboratory astrophysics and astrobiology- and chemistry -where machine learning interatomic potentials are already solidly established tools for atomistic modeling of materials and molecules. At the intersection between chemistry and astronomy\, astrochemistry is posed to similarly benefit from the opportunities for accelerated scientific discovery enabled by AI. The COST NanoSpace AI in Astrochemistry Training School 2025 aims to furnish our community with the necessary background to get started to utilize these tools\, by bringing together world-renowned experts to Aalto University in Southern Finland. The School will provide COST NanoSpace action participants and young researchers with specialized knowledge and address the urgent need for training on AI tools in astrochemistry. \nProgram\nThe School will provide a starting point for astrochemistry researchers interested in adopting AI tools for their research. We will cover the basics as well as showcase various examples of how AI has been successfully used to tackle research problems in chemistry and astrochemistry. \n\n\n\n\n\nTuesday 5 August\nWednesday 6 August\nThursday 7 August\nFriday 8 August\n\n\nTime\nTopic\nTrainer\nTopic\nTrainer\nTopic\nTrainer\nTopic\nTrainer\n\n\n9:00\nRegistration\nGaussian Processes and Regressors\nMads-Peter V. Christiansen\nML for Radio Interferometry\nRyan Loomis\n\n\n\n\n9:30\nInterpretable ML Techniques for Astrochemistry\nJohannes Heyl\n\n\n10:00\nNanoSpace and AI in Astrochemistry TS Overview\nAníbal García-Hernández &\nEdward Goldwyn\n\n\n10:30\nCoffee break\nCoffee break\nCoffee break\nCoffee break\n\n\n11:00\nFundamentals of ML\nMiguel Caro\nML for Interatomic Potentials\nRina Ibragimova\nML Binding Energies of Astrochemical Molecules\nJohannes Heyl\nExercise Session: ML for Interatomic Potentials\nRina Ibragimova\n\n\n11:30\n\n\n12:00\n\n\n12:30\nLunch\nLunch\nLunch\nLunch\n\n\n13:00\n\n\n13:30\n\n\n14:00\nBasics of Neural Networks\nXabier Pérez Couto\nExercise Session: Bayesian Optimization with\nGaussian Processes\nMads-Peter V.\nChristiansen\nNeural Networks for Astrochemistry\nLorenzo Branca\nIntelligent Crystal and Molecular Structure Search Algorithms\nIsabelle Braems\n\n\n14:30\n\n\n15:00\nExercise Session: Neural Networks I\nXabier Pérez Couto\nExercise Session: ML in Astrochemistry I\nLorenzo Branca\n\n\n15:30\nTea break\nTea break\nExercise Session: ML in Astrochemistry II\nLorenzo Branca\nTea break\n\n\n16:00\nExercise Session: Neural Networks II\nXabier Pérez Couto\nAtomistic Modelling for Radiation\nDamage in Space\nAndrea Sand\nTea break\nExercise Session (continuation)\nMads-Peter V.\nChristiansen\n\n\n16:30\nPoster pitches\nExcursion to Suomenlinna\nConclussions & goodbye\n\n\n17:00\nML for Chemical Intuition\nBrett McGuire\n\n\n\n17:30\n\n\n18:00\n\n\n18:30\n\n\n\n\n19:00\nDinner in Suomenlinna (paid by participants; participation optional)\n\n\n\n\nImportant dates\n\n8 April 2025 – First Announcement\n8 April 2025 – Registration starts\n30 May 2025 – Registration deadline\n15 June 2025 – Announcement of the final (and backup) lists of registered participants as well as those eligible for COST financial support\n5-8 August 2025 – NanoSpace AI in Astrochemistry Training School at Aalto University’s School of Chemical Engineering’s main building\n\nTrainers and Organizing Committee\nThe School is organized by COST NanoSpace in collaboration with Aalto University: \n\nD. Aníbal García Hernández\, COST NanoSpace Action Chair (IAC\, Spain)\nBrett A. McGuire\, COST NanoSpace member (MIT\, USA)\nMiguel A. Caro\, local organizer & COST NanoSpace member (Aalto\, Finland)\nRina Ibragimova\, local organizer & COST NanoSpace member (Aalto\, Finland)\nDora Javor\, local organizer (Aalto\, Finland)\n\nFor questions pertaining to the local matters of the School\, please get in touch with Miguel Caro (miguel.caro@aalto.fi). \nTrainers and topics\nThe program will include sessions on the following topics as well as series of practical exercises: \n\nFundamentals of ML – Miguel Caro\, Aalto Univ.\, Finland\nBasics of Neural Networks – Xabier Pérez Couto\, A Coruña Univ.\, Spain\nGaussian Processes and Regressors – Mads-Peter V. Christiansen\, Aarhus\nUniv.\, Denmark\nIntelligent Molecular Structure Search Algorithms – Isabelle Braems\,\nIMN-CNRS\, France\nML for Chemical Intuition – Brett McGuire\, MIT\, USA\nML for Radio Interferometry – Ryan Loomis\, NRAO\, USA\nML Binding Energies of Astrochemically Molecules and/or Interpretable ML Techniques for Astrochemistry – Johannes Heyl\, UCL\, UK\nNeural Networks for Astrochem – Lorenzo Branca\, Heidelberg Univ.\,\nGermany\nML for Protoplanetary Disk Chemistry and/or ML for Star Formation\nChemistry – (to be confirmed)\nML for Interatomic Potentials – Rina Ibragimova\, Aalto Univ.\, Finland\nML for Radiation Damage in Space – Andrea Sand\, Aalto Univ.\, Finland\n\nTrainees\nThis is a list of the participants (in addition to the organizers and trainers) who will take part in the School. \n\n\n\nName\nInstitution\n\n\nAlexia Anguera González\nInstitute of Spaces Sciences\, University of Barcelona\n\n\nRansel Barzaga Guzman\nIUDEA\, La Laguna University\n\n\nChiara Beldì\nUniversity of Edinburgh\n\n\nLise Boitard-Crépeau\nIPAG\, UGA\n\n\nMaren Brauner\nInstituto de Astrofísica de Canarias\, IAC\n\n\nJakub Bulička\nFaculty of Mathematics and Physics\, Charles University\n\n\nTadeus Carl\nChalmers University of Technology\n\n\nLorenzo Maria Casazza\nUniversity of Naples Federico II\n\n\nAyşe Ceylin Çelebi\nUniversity of Naples Federico II\n\n\nLouey Charradi\nHigher National Engineering School of Tunis\n\n\nGaëtan Clément\nInstitut des sciences moléculaires d’Orsay\, ISMO\n\n\nLorenzo Demaria\nOpen University\n\n\nPooja Devi\nCharles University\, FZU\n\n\nJosé Jairo Díaz Luis\nObservatorio Astronómico Nacional\, OAN-IGN\n\n\nElavenil Ganesan\nInstitute of physical chemistry polish academy of sciences\n\n\nGabriella Di Genova\nUniversity of Perugia\n\n\nRossella Di Giovanni\nScuola Superiore Meridionale\, Scuola Normale Superiore\n\n\nAmélie Godard Palluet\nCentro de Astrobiología\, CAB\n\n\nRoya Hamedani Golshan\nUniversity of Cologne\n\n\nYoussef Guermassi\nFaculty of sciences of Bizerte\n\n\nAlžběta Horynová\nInstitute of Physics of the Czech Academy of Sciences\n\n\nLukas Hrubcik\nUniversity of Chemistry and Technology Prague\n\n\nTeresa Huertas Roldán\nInstituto de Astrofísica de Canarias\, IAC\n\n\nMunavvar Husain\nUniversity of Warsaw\n\n\nGabriel Jaimes Illanes\nCentro de Astrobiología\, CAB\n\n\nStanka Jerosimic\nUniversity of Belgrade\, Faculty of Physical Chemistry\n\n\nDeniz Kacan\nPurdue University\n\n\nAlexandros Kyriazis\nUniversitat Autònoma de Barcelona\n\n\nRosell Martín\nUniversity of Extremadura\n\n\nSergio Mato Domínguez\nUniversity of Valladolid\n\n\nAndrés Megías\nCentro de Astrobiología\, CAB\n\n\nEnrico Di Micco\nUniversity of Naples Federico II\n\n\nMilan Milovanovic\nFaculty of Physical Chemistry\, University of Belgrade\n\n\nAlene Seyoum Mitiku\nEthiopian Space Science and Geospatial Institute\, SSGI\n\n\nVeronika Mitrokhina\nTartu Observatory\, University of Tartu\n\n\nDanial Mohammadi\nKU Leuven\, Stockholm University\n\n\nTanish Nandre\nUniversity of Bonn\n\n\nDevismita Panda\nLaboratoire d’Astrophysique de Bordeaux\, University of Bordeaux\n\n\nTheodore Pellegrin\nMax Planck Institute for Extraterrestrial Physics\n\n\nSergey Pyrlin\nCICECO – Aveiro Institute for Materials\, University of Aveiro\n\n\nW. M. C. Sameera\nChalmers University of Technology\n\n\nBethmini Senevirathne\nUniversity of Gothenburg\n\n\nMilan Sil\nInstitut de Planétologie et d’Astrophysique de Grenoble\n\n\nJelena Lubura Stošić\nFaculty of Technology\, University of Novi Sad\n\n\nMaxime Tanious\nIPAG\, IRAM\n\n\nDimitar Trifonov\nInstitute of Electronics\, Bulgarian Academy of Sciences\n\n\nMeenu Upadhyay\nUniversity of Basel\n\n\nLuis Velilla-Prieto\nCSIC – Institute of Fundamental Physics\n\n\nVojtech Vozda\nInstitute of Physics\, Czech Academy of Sciences\n\n\nOerd Xhemollari\nUniversity of Cologne\n\n\nJaime Yepes de Paz\nComplutense University of Madrid\n\n\n\nVenue\, transportation & accommodation\nVenue\n \nThe conference will take place in the main campus of Aalto University\, in the Helsinki metropolitan area. The venue is the Aalto University’s School of Chemical Engineering’s main building\, Kemistintie 1\, Espoo\, 02150 Finland. \nGetting there & around\nAalto University is very well connected within the Helsinki metro area. The Otaniemi campus can be reached via metro (“Aalto University” stop) and the light rail (“Maari”\, “Aalto-yliopisto” and “Otaranta” stops\, from west to east). Please visit the website of HSL\, the company operating the public transport system in the Helsinki metro area. This includes buses\, the metro\, trains\, downtown trams\, the light rail\, and some municipal ferry services (e.g.\, to the Suomenlinna fortress island). Public transport in the Helsinki metro area is safe\, clean and reliable. The easiest way to use the public transport system is to download the HSL app on your phone. \nThe Aalto University campus can be reached from Helsinki airport\, e.g.\, by combining the train with the metro (changing at Helsinki’s Central Railway Station). Non-collective public transport options like taxis are also available\, including popular apps like Uber; these are significantly pricier than collective transportations but might be more convenient depending on the situation (e.g.\, if you are in a hurry to reach the airport). \nAccommodation\nAalto University is located on the Otaniemi campus. Otaniemi is a district of the city of Espoo\, located within the Helsinki metropolitan area. There are various on-campus accommodation options in Otaniemi\, for instance the Radisson Blu Espoo hotel. Since the Otanimi campus is connected to Helsinki by metro\, and the commuting time is ~15 minutes from Helsinki city center\, it is entirely possible to stay in Helsinki and commute every day to the School. This opens the door to a wider variety of accommodation options in terms of quality and price. Two options for on-campus accommodation are: \n\nRadisson Blu Espoo (from ~100 EUR/night)\nHeymo 1 by Sokos (from ~85 EUR/night)\n\nFor accommodation options in Helsinki\, popular aggregators like Booking.com offer a “map-view” of the city and their user ratings are usually a good indicator of quality and value. If you opt for booking accommodation in Helsinki city center and commuting every day to the Aalto campus\, we recommend that you reserve a hotel within walking distance of a metro station for convenience\, e.g.\, stations “Ruoholahti”\, “Kamppi”\, “Central Railway Station”\, etc. \nRegistration\nThe School will be in person with attendance limited to 50-55 trainees and with priority given to PhD students and young researchers\, who are strongly encouraged to participate. There is no registration fee and the NanoSpace COST Action will provide financial support (i.e.\, reimbursement after the event\, covering full or partial travel\, accomodation\, and subsistence costs)* for a significant number of participants (at least ~20-25)\, with high priority to those with a primary affiliation in an institution located in an Inclusiveness Target Country (ITC)/Near Neighbour Country (NNC) participating in the Action**. \nThe information requested in the registration form below will be used to select the final list of registered participants as well as those eligible for financial support\, which will be notified in advance of the Training School (i.e.\, by mid-June 2025). The attendees are expected to arrange their own travel and accommodation ( see Venue and Accomodation above for more information ). \nTo apply to take part in the School\, please go to the registration website (deadline 30 May 2025): https://link.webropolsurveys.com/EP/88F312F3CB3ED0FF \n*The applicants eligible for financial support (i.e.\, reimbursement after the event) are requested to consult the COST Annotated Rules for information about COST rules and procedures for Training Schools. The financial support does not necessarily cover all expenses related to participating in the Training School and they are contributions to the overall travel\, accommodation and meal expenses of the trainee. \n**Please consult the specific ITC and NNC countries and any COST special measures taken regarding the participation of researchers/innovators from some countries in the Annex I of Level A Country and Organisations. \nAbout & contact\nThe AI in Astrochemistry Training School 2025 is part of the official activities of the COST Action NanoSpace\, chaired by D. Aníbal García Hernández (IAC\, Spain) and supported by COST (European Cooperation in Science and Technology). The main aim and objective of the COST Action NanoSpace (“Carbon molecular nanostructures in space”; CA21126) is to advance the fundamental understanding of the physics and chemistry of cosmic carbon nanomaterials (nanocarbons; nC) and their relevance in non-terrestrial environments by promoting the interdisciplinary combination of state-of-the-art astronomical\, laboratory\, and theoretical studies\, among others. The main Action scientific challenges are attacked via an interdisciplinary approach\, combining the expertise from a wide range of disciplines like observational astronomy\, laboratory astrophysics\, astrobiology\, theoretical chemistry\, synthetic chemistry\, molecular reaction dynamics\, material science\, spectroscopy\, graph theory\, and data science (AI\, big data). Researchers and innovators from all these fields are thus welcome to participate in the Action as Working Group members\, applying here. Read more about NanoSpace. \nAs part of the core mission of COST NanoSpace\, many events and activitites are organized every year in the framework of the Action\, including Training Schools that provide high-level education on research topics and methods relevant to the objectives of the project. Events are organized by COST NanoSpace in collaboration with a local organizer. The AI in Astrochemistry Training School 2025 is hosted by the Aalto University Department of Chemistry and Materials Science. For more information about COST NanoSpace and the School\, please contact the Action Chair (agarcia@iac.es); for practical matters about the school and Aalto University\, please contact Miguel Caro (miguel.caro@aalto.fi). \nSponsors\nThe AI in Astrochemistry Training School 2025 is made possible thanks to the support by COST (European Cooperation in Science & Technology). COST is a funding agency for research and innovation networks. COST Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research\, career and innovation. \nLocal support by the Department of Chemistry and Materials Science of Aalto University is also gratefully acknowledged. \n \n \n \n \nToday 08-08-2025 you use ruffle!
URL:https://ocamm.fi/event/cost-nanospace-ai-in-astrochemistry-training-school-2025/
LOCATION:Aalto University\, School of Chemical Engineering\, Kemistintie 1\, Kemistintie 1\, Espoo\, 02150\, Finland
CATEGORIES:School
ATTACH;FMTTYPE=image/png:https://ocamm.fi/wp-content/uploads/2025/03/astrochemistry_ai_logo.png
ORGANIZER;CN="Miguel Caro":MAILTO:miguel.caro@aalto.fi
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