IST Austria

2020/09/28 · IST Austria

Wound-healing Waves

Researchers find a complex interplay among cells, which guides them to where they need to go.

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2020/09/24 · IST Austria

Mystery of giant proton pump solved

Mechanism how complex I of respiratory chain pumps protons finally understood – Study published in Science

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2020/09/14 · IST Austria · TWIST

Structure of ATPase, the world’s smallest turbine, solved

First complete structure of mammalian F1Fo ATP-synthase – Study published in Nature Structural & Molecular Biology

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2020/09/07 · IST Austria · IST CUBE · TWIST

High-ranking delegation visits IST Austria

Federal Minister for Digital and Economic Affairs Margarete Schramböck and Wirtschaftslandesrat Jochen Danninger visited the IST Austria campus together with their government colleagues.

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2020/08/17 · IST Austria

Researchers provide the key to an algorithm for finding integer solutions to certain polynomial equations.

In 1900, Hilbert famously challenged researchers to design an algorithm that could say whether or not a polynomial equation with integer coefficients has an integer solution. We now know that this, his so-called tenth problem, is in general impossible. However, a new theorem by Institute of Science and Technology Austria (IST Austria) Professor Tim Browning and his coauthors, Professor Pierre Le Boudec at the University of Basel and Professor Will Sawin at Columbia University, has provided the key to creating such an algorithm for nearly all polynomials whose number of variables is greater than their degree. In so doing, they almost entirely resolve a central conjecture in number theory. Their results have been announced on arXiv.org and submitted for publication.

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2020/08/13 · IST Austria

IST Austria scientists present three novel techniques to simulate nature’s complexity

From large waterfalls to tiny soap bubbles – nature is both beautiful and complex. Simulations of its phenomena are essential to scientific discoveries, modern engineering, and the digital arts. While supercomputers are usually necessary, Professor Christopher Wojtan and his team overcome this complexity by combining physics, mathematics, and algorithmic optimizations from computer science.

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