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CEST researchers receive significant LUMI supercomputing resources
Read how two successful machine learning projects got support by a supercomputer
Aalto Open Science Award ceremony brought together Aaltonians to discuss open science
Last week we gathered at A Grid to celebrate the awardees of the Aalto Open Science Award 2023 and discuss open science matters with the Aalto community.
Aalto Open Science Award Third Place Awardee 2023 – Intelligent Robotics Research Group with the Robotic Manipulation of Deformable Objects project
We interviewed the Intelligent Robotics Research Group with the Robotic Manipulation of Deformable Objects project, 3rd place awardees of the first Aalto Open Science Award.
Aalto Open Science Award Winner 2023 – Aalto Materials Digitalization Platform (AMAD)
We interviewed the AMAD team, winners of the first Aalto Open Science Award.
New computational method demonstrates improved accuracy and lower computational cost for calculating molecular properties
Researchers benchmark use of separable RI approach in recent journal article
The winner and runners-up of Aalto University’s Open Science Award 2023
Research Steering Group decided on the winner of the Open Science Award 2023
Aalto Materials Digitalisation Platform (AMAD) – opening new possibilities for data sharing and collaboration between research groups
Read real-life examples of AMAD use by researchers.
How machine learning can support atmospheric compound discovery
Read how machine learning can help identifying new compounds in atmosphere
Computational study reveals the potential of mixed metal chalcohalides in future photovoltaic applications
Computational screening of photovoltaic materials reveals promising new candidates for future solar applications
Single-atom dopants in metallic nanoparticles can offer high tunability for plasmonic-catalytic applications
CEST researchers use TDDFT-based calculations to study the tunability of the plasmonic-catalytic properties of nanoparticles
Patrick Rinke: making sustainable materials with AI
Professor Patrick Rinke’s pioneering expertise in finding sustainable and climate-friendly materials with machine learning methodology has arguably never been more in demand
Matteo Iannacchero, a developer of bio-based yarns: ‘I value the freedom of science’
In his doctoral research conducted at Aalto University’s Bioinnovation Center, Iannacchero uses machine learning to develop ecologically sustainable electronic yarns. This is an opportunity to come up with something completely new.
Machine learning boosts the discovery of new perovskite solar cell materials
Researchers from CEST group apply machine learning to help identifying suitable solar cell materials
Prof. Patrick Rinke Awarded Academy Grant for Developing Biologically Inspired Computing Systems
Prof. Rinke’s three-year joint project with VTT aims to make demanding AI computing tasks use less power while maintaining performance.
AI boosts usability of paper-making waste product
Lignin, a side product of wood pulping, is funnelled into new bioproducts with the help of AI
Making AI fun at Aalto Family Day
CEST group hosted an interactive AI-inspired display at the recent Aalto Family Day
New LOLS machine learning approach facilitates molecular conformer search in complex molecules
A new machine learning method called LOLS speeds up molecular conformer search in complex molecules
CEST research acknowledged at Physics Days
Manuel Kuchelmeister received the best poster award at Physics Days 2022
A theoretical surface study of a potential third generation solar cell material opens up prospects for more efficient solar energy conversion
A new article by the CEST group reveals atomic and electronic structure of perovskite material for future photovoltaic applications.
School of Science researchers now involved in five Centres of Excellence
SCI researchers are partners in three new Centres of Excellence: Life-Inspired Hybrid Materials, Randomness and structures, and Virtual laboratory for molecular level atmospheric transformations.
