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Researchers at the forefront of developing machine learning methods for chemical discovery

Machine learning to help identify drug candidates

23-Oct-2020

Prof. Alexandre Tkatchenko and his research team at the University of Luxembourg have been awarded grants totalling 500,000 euros to conduct research in the emerging field of machine learning methods for chemical discoveries. The discovery and formulation of new drugs, antivirals, antibiotics and ...

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Structural colors from cellulose-based polymers

Self-assembly of responsive photonic biobased materials in liquid marbles

01-Sep-2020

A surface displays structural colors when light is reflected by tiny, regular structural elements in a transparent material. Researchers have now developed a method to make structural colors from cellulose-based polymers by using coated droplets that exist in a surrounding fluid--so-called liquid ...

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Thermally Stable Solar Cell Materials

A new approach can help scientists predict the thermal stability of potential absorber materials for solar cells

08-May-2012

European researchers have developed a simple thermodynamic method to predict whether a substance can resist the high temperatures normally involved in the production of thin films for photovoltaic devices. The new approach could help scientists in their search for better energy materials. ...

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