News

The Finnish Research Impact Foundation awards funding to three joint projects between Aalto researchers and startup companies

The first ever research grants of the foundation support Aalto research in quantum computers, semiconductor devices and new type of sensors with superior sensitivity
Kuva: Lasse Lecklin.
Photo: Lasse Lecklin.

The foundation awards two million euros in funding to support joint industry-academia projects. Aalto projects will be funded with 560 000 euros. A postdoctoral researcher hired in each of the projects will be working both in Aalto and in the partner companies.

In the project of Professor Mikko Möttönen, the strong academic expertise of Aalto University meets with a European leader in quantum computer hardware, IQM. The joint effort of these two front runners will bring major added value and expedite the growth and scale up of the academia and the industry. The project taps into the core of this revolution and helps the growing ecosystem to bring forward major innovations paving the way for a useful quantum computer. The first aim of the project is to implement the logical operations between the qubits, quantum bits, so precisely that they can be used in quantum computers. The second aim is to use cryogenic microwave measurements to find out what kind of a qubit design would be optimal in quantum computers.

Surface defects play a role in essentially all semiconductor devices. In this project, Academy researcher Jani Oksanen and his research group aim to study controlled oxidation processes developed by Comptek Solutions Oy to eliminate the detrimental effects of surface recombination in thermophotonic GaAs based optical cooler prototypes investigated at Aalto University. This enables a case study of using controlled oxidation in state-of-the-art compound semiconductor devices, potentially eliminating one of the key bottlenecks presently slowing down the development of optical cooling technologies.

The project led by Professor Hele Savin develops a new type of sensors with superior sensitivity. The project utilizes the sensor technology developed at Aalto University related to so-called black silicon, which is proven to have superior optical and electrical properties. Black silicon is, however, applicable material for detecting only near-visible light wavelengths, so the project will develop the technology for other frequency ranges. The commercial potential will be investigated with the help of the industrial partner ElFys Inc., who has relevant knowhow, facilities, as well as knowledge for the device requirements.

The Finnish Research Impact Foundation was launched in spring 2019 by the Finnish government. It was given an initial capital stock of 60 million euros. The mission of FRIF is to promote the impact of Finnish cutting-edge research by strengthening the connection and cooperation between academia and industry.

Further information:

All funded projects

Jani Oksanen

Senior Scientist
T314 Dept. Neuroscience and Biomedical Engineering
  • Published:
  • Updated:
Share
URL copied!

Read more news

Professor Jens Schmidt opening the first Aalto Alumni Strategy Circle. Audience in the front.
Research & Art Published:

Aalto Alumni Strategy Circle shared best practices in mergers and acquisitions

The Aalto Alumni Strategy Circle brings together strategy professionals and business leaders to learn and exchange ideas about the most relevant current topics in strategy.
Food Futures, ATARCA
Cooperation, Press releases, Research & Art Published:

Learning by doing: Solving the Tragedy of the Commons one Meal at a time

Food Futures, part of ATARCA, Aalto University, in collaboration with Global Politics and Communication, University of Helsinki, present the video Learning by Doing: Solving the Tragedy of the Commons one Meal at a time.
Anne Sunikka Dipolissa tietokoneen ääressä.
Research & Art Published:

Quality together – University supports open access in science and research

Support, training and information available for researchers on open science practices
A solar panel with blue sky and a graphic showing perovskite material
Research & Art Published:

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