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By integrating device engineering with biophysical insights, this project drives the development of smarter drug delivery systems with refined dose adjustments to push the boundaries of precision in preclinical medical sciences.

We use ecological networks and other modelling approaches to address a variety of community ecology questions.

FunMat-II is a second generation competence center in material science, focusing its efforts to the areas of functional surfaces for cutting tools, fuel cells and batteries.

The theoretical simulation and modelling of the basic properties of organic materials and devices represents the main focus of the research activity of our group.

AI is accelerating the development of new materials. Large-scale use and exchange of data on materials is facilitated by a broad international standard. A major international collaboration now presents an extended version of the OPTIMADE standard.

Cells in the immune system of patients with multiple sclerosis behave differently from those of healthy individuals. LiU researchers have exploited this difference to develop a method that can predict disease activity in multiple sclerosis.

Graduate school Forum Scientium, a bridge between medicine, natural sciences and engineering, stimulates creativity and a common use of ideas, knowledge, and equipment.

Two hundred years ago, thermodynamics was applied to increase the efficiency of steam engines. Now, the research is scaled down to the molecular level, with the objective of developing materials for gas storage, nanosensors, molecular machines and...

Many currently used drugs are ineffective for treating complex diseases. However, modern biology today generates enormous amounts of inexpensive, accurate, high-throughput data (‘omics), at several molecular levels.§

Quantum cryptography is considered a fully secure encryption method, but researchers from LiU and Stockholm University have discovered that this is not always the case.