Machine learning algorithm helps in the search for new drugs

Researchers have designed a machine learning algorithm for drug discovery which has been shown to be twice as efficient as the industry standard, which could accelerate the process of developing new treatments for disease.

Retreating snow line reveals organic molecules around young star

Astronomers using ALMA have detected complex organic molecules around the young star V883 Ori. A sudden outburst from this star is releasing molecules from the icy compounds in the planet-forming disk. The chemical composition ...

Description of rotating molecules made easy

Feynman diagrams are applied in condensed matter physics. By turning highly complex equations into sets of simple diagrams, the method has established itself as one of the sharpest tools in a theoretical physicist's toolbox. ...

Copper compound as promising quantum computing unit

Quantum computers could vastly increase the capabilities of IT systems, bringing major changes worldwide. However, there is still a long way to go before such a device can actually be constructed, because it has not yet ...

Proteins reveal intricate details about life under the microscope

People have always been fascinated by life. We dream about revealing all its mysteries and are even searching other planets trying to find some forms of life there. Philosophies around the world have tried to define and understand ...

Brilliant iron molecule could provide cheaper solar energy

For the first time, researchers have succeeded in creating an iron molecule that can function both as a photocatalyst to produce fuel and in solar cells to produce electricity. The results indicate that the iron molecule ...

Transition metal complexes: Mixed works better

A team at BESSY II has investigated how various iron-complex compounds process energy from incident light. They were able to show why certain compounds have the potential to convert light into electrical energy. The results ...

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