International Workshop on Machine Learning for Material Science attracted a multidisciplinary audience to Otaniemi
![international_workshop_on_machine_learning_for_materials_science_en_en.jpg](/sites/g/files/flghsv161/files/styles/1_6_567w_354h_n/public/midgard/images/1e7107de5bb49f8107d11e7a2813f42b345a85fa85f-international_workshop_on_machine_learning_for_materials_science_en_en.jpg?h=5f1b5b34&itok=jEse2Tsh)
Aalto Science Institute (AScI) at Aalto University organized the International Workshop on Machine Learning for Material Science 8–9 March 2017 at Technopolis, Innopoli 3, Espoo, Finland. Five notable international speakers in machine learning and material science were invited for sharing their research work and experience in their fields. Participants’ backgrounds ranged from computer science to material science as well as computational physics and chemistry.
The workshop allowed some selected participants to present their work and further discuss science during the poster session. This event was fully funded and supported by Aalto University and Centre Européen de Calcul Atomique et Moléculaire (CECAM) Aalto node.
This workshop was part of the AScI thematic programme "Machine learning strategies for optimising frictional properties of materials" (MLMS / Friction).
View the workshop programme and download the report from the AScI website.
- Published:
- Updated:
Read more news
![Professori Maria Sammalkorpi](/sites/g/files/flghsv161/files/styles/2_3_288w_125h_d/public/2024-07/Aalto_University_Maria_Sammalkorpi_10-6-2024_photo_by_Mikko_Raskinen_002.jpg?h=3c516e57&itok=akEFnUgM)
Get to know us: Associate Professor Maria Sammalkorpi
Sammalkorpi received her doctorate from Helsinki University of Technology 2004. After her defence, she has worked as a researcher at the Universities of Princeton, Yale and Aalto.![AI applications](/sites/g/files/flghsv161/files/styles/2_3_288w_125h_d/public/2022-11/Ai_applications_illustration_Matti_Ahlgren.png?h=5cf565ba&itok=EjV6w68S)
Aalto computer scientists in ICML 2024
Computer scientists in ICML 2024![bakteereja ohjataan magneettikentän avulla](/sites/g/files/flghsv161/files/styles/2_3_288w_125h_d/public/2024-07/bakteerit.png?h=9eadbaff&itok=i5Vm1LSf)
Getting bacteria into line
Physicists use magnetic fields to manipulate bacterial behaviour![border crossings 2020](/sites/g/files/flghsv161/files/styles/2_3_288w_125h_d/public/2024-07/illustration_2_eng.png?h=3dc4be93&itok=w-DRE5YI)