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Aalto University


Ultra-thin designer materials unlock quantum phenomena

Researchers at Aalto University have designed an ultra-thin material that creates elusive Majorana quantum states, which could be key to making topological qubits. The team successfully trapped electrons together in a two-dimensional material, overcoming the challenge of noise tolerance in quantum computing.

SourceAalto University·JournalNature·DateDec 17, 2020

Sheets of carbon nanotubes come in a rainbow of colours

Researchers at Aalto University have created a colour atlas for 466 unique varieties of single-walled carbon nanotubes, revealing their potential applications in electronics and solar panels. The study developed a quantitative model to predict the specific colors of thin films made by combining any of the 466 varieties.

SourceAalto University·JournalAdvanced Materials·DateDec 14, 2020

AI predicts which drug combinations kill cancer cells

A machine learning model developed in Finland can identify best cancer drug combinations to selectively kill specific cancer cells with unique genetic or functional profiles. The AI model accurately predicts how different drug combinations inhibit particular cancer cells, paving the way for more effective cancer treatments.

SourceAalto University·JournalNature Communications·DateDec 1, 2020

Scientists use bacteria as micro-3D printers

Researchers at Aalto University have developed a technique to guide bacterial colonies into creating highly customized three-dimensional objects made of nanocellulose. The objects show great potential for medical use, including supporting tissue regeneration and replacing damaged organs.

SourceAalto University·JournalACS Nano·DateNov 10, 2020

How mobile apps grab our attention

Researchers at Aalto University conducted the first empirical study on mobile app design, finding that larger and brighter elements don't catch users' eyes. Instead, text elements and specific locations like the top-left corner tend to draw attention.

World's fastest Bose-Einstein condensate

A team of scientists at Aalto University has successfully created a Bose-Einstein condensate that behaves as if it were one particle, but makes the elusive state of matter in just 100 femtoseconds. The breakthrough could lead to new areas of fundamental research and applications with these condensates.

SourceAalto University·JournalNature Communications·DateJun 22, 2020

Twisting 2D materials uncovers their superpowers

Twisting 2D materials has uncovered their superpowers, revealing exotic physical behaviors such as high temperature superconductivity and structural super-lubricity. Aalto University's researchers have developed a new method for making twisted layers, allowing precise control of the twist angle on a large scale.

SourceAalto University·JournalNature Communications·DateMay 1, 2020

AI to make dentists' work easier

A new deep learning model accurately localises the exact location of mandibular canals in lower jaws, making dental implant operations faster and more efficient. The model surpasses existing methods, such as statistical shape models, and performs equally fast and accurately every time.

SourceAalto University·JournalScientific Reports·DateApr 21, 2020

New material developed could help clean energy revolution

Researchers at Aalto University developed a new graphene-carbon nanotube catalyst to improve the efficiency of hydrogen fuel cells and water electrolyzers. The catalyst's electrocatalytic activity can be altered depending on the material it is deposited on, offering a promising strategy for producing green technology.

SourceAalto University·JournalACS Catalysis·DateMar 23, 2020

How sensitive can a quantum detector be?

A new device created by Aalto University and Lund University has set a new standard for measuring the tiniest energies in superconducting circuits. The calorimeter uses a strip of copper one thousand times thinner than a human hair to detect energy changes, providing essential insights into quantum thermodynamics.

SourceAalto University·JournalNature Communications·DateJan 17, 2020

Digital athletics in analogue stadiums

A study by Aalto University researchers reveals that fans attend live esports events primarily for social interaction and excitement of being near sports stars. In contrast, fans watching online rated 'drama' and 'enjoyment of aggression' higher than live attendees.

SourceAalto University·JournalInternet Research·DateJan 17, 2020

Clean carbon nanotubes with superb properties

Researchers at Aalto University and Nagoya University have developed a new method to make ultra-clean carbon nanotube transistors with superior semiconducting properties. The new method produces hundreds of individual devices within 3 hours, reducing processing time and increasing efficiency.

SourceAalto University·JournalAdvanced Functional Materials·DateNov 19, 2019

Researchers watch quantum knots untie

Researchers at Aalto University have studied the dynamics of quantum knots, finding that they untie themselves within a short period before forming a vortex. This discovery opens up new avenues for experimental research and suggests that quantum knots may be more unstable than previously thought.

SourceAalto University·JournalPhysical Review Letters·DateOct 21, 2019

Combination of wood fibers and spider silk could rival plastic

A new bio-based material has been created by combining wood cellulose fibres and spider silk protein found in spider web threads, exhibiting high strength and stiffness along with increased toughness. The researchers achieved this by aligning cellulose nanofibrils into a stiff scaffold and infiltrating it with a soft and energy-dissipa...

SourceAalto University·JournalScience Advances·DateSep 16, 2019

Machine learning helps predict if storms will cause blackouts

A Finnish research team developed a machine learning approach to predict storm severity, using data from power outages and storm characteristics. The algorithm achieved promising results in predicting class 0 no-damage storms and class 3 damaging storms, with plans to refine the model for winter storms.

SourceAalto University·JournalIEEE Transactions on Geoscience and Remote Sensing·DateAug 2, 2019