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Researcher work with advanced processing equipment in a laboratory environment.

From basic research to societal benefits

Research at KTH Royal Institute of Technology generates new knowledge and technological development that can lead to significant change – for the world, for society and for people.

The research profile of KTH

Research news 

A sketch of the Nobel Prize winners in Chemistry.
Henri B. Kagan and Kenso Soai, this year’s Nobel Laureates in Chemistry. Illustration: Niklas Elmehed © Nobel Prize Outreach

This year’s Nobel Prize for the discovery of how chemists can choose a mirror image

This year’s Nobel Prize in Chemistry has been awarded to Henri B. Kagan and Kenso Soai for their solution to the puzzle of how homochirality can arise spontaneously. The discovery makes it possible to...

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illustration
This year’s Nobel Laureate in Physics. Illustration: Niklas Elmehed, Nobel Prize Outreach

Francis Halzen awarded the Nobel Prize in Physics for the discovery of high-energy neutrinos

This year's Nobel Prize in Physics is awarded to Francis Halzen for decisive contributions to the IceCube Observatory and the discovery of high-energy neutrinos of astrophysical origin. The discovery ...

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Flagpole with a flag.
Photo: Petter Karlberg

KTH maintains high ranking in THE - landing at 106

KTH was ranked 106th among the world’s universities in the newly-released Times Higher Education World University Rankings. The previous year’s ranking was 98. The decline is part of a trend for Swedi...

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KTH highlights

Spider web - AI-generated

Protein materials

Sustainable materials from proteins

KTH Supreme is building a collaborative platform for designing advanced protein materials. One of the goals is environmentally friendly alternatives to fossil-based polymers.

Illustration
The Polaris platform combines computations and automated experiments to identify optimal solutions.

Soft materials

AI and automation for new soft materials

Polaris is developing an autonomous platform that combines experiments, modelling and AI to develop new soft materials, with a focus on bio-based inputs and improved recyclability.

Molecule-like shapes

Sustainable chemistry

Chemicals made with light and electricity

KTH ElectroLight develops light- and electricity-driven processes to produce compounds such as hydrogen, fertilisers and pharmaceuticals without hazardous reagents or fossil resources.

Collaborations and partnerships

Zahra Kalantari, Anna Hadenius and Kaveh Madani standing in front of seminar posters
WaterCentre's Director Professor Zahra Kalantari, Anna Hadenius, CEO Stockholm Water Foundation, and Professor Kaveh Madani. Photo: Jon Lindhe

KTH brings partners together to address complex water challenges

Stockholm Water Prize laureate Kaveh Madani visited KTH, bringing together WaterCentre@KTH, Stockholm Water Foundation and the City of Stockholm. The visit marks the start of a broader collaboration on water, climate and sustainable cities.

Anders Söderholm and Patrik Hofbauer standing under an archway at the KTH courtyard
Anders Söderholm, President of KTH, and Patrik Hofbauer, Telia's President and CEO.

Telia, KTH and Brookfield agree strategic partnership for sovereign AI

Telia, KTH and Brookfield have signed a memorandum of understanding to form a strategic partnership for the joint development of sovereign AI services and applications in Sweden. The partners will also explore an AI testbed and new AI companies hosted by KTH.

A graphical image of a MOF, a metal–organic framework
A so-called flexible MOF that changes shape when filled with or emptied of different substances. Image: Johan Jarnestad/Royal Swedish Academy of Sciences

New method could accelerate the search for future carbon capture materials

Researchers at KTH have developed MOFBuilder, a digital tool that can test advanced materials for carbon capture, energy storage and water purification significantly faster than before.

Calendar

Latest publications

[2]
M. R. K. Gharigh et al., "A tax-subsidy scheme for efficient investment in renewable generation capacity," Electric power systems research, vol. 265, 2027.
[4]
S. Tang et al., "MOPP-Miner : Structure-constrained discovery of multivariate order-preserving offset patterns," Expert systems with applications, vol. 334, 2027.
[5]
B. Scarone and R. Baeza-Yates, "The Illusion of Improvement : Reject Inference Strategies in Credit Scoring," in Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2026, Proceedings, 2027, pp. 462-479.
Full list in the KTH publications portal