The platform led by the URV presents its projects for the region’s energy transition to the Vice-President of the Catalan Government, who promises it the highest level of government support
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Researchers from Universitat Rovira i Virgili and Institute of Materials Science of Barcelona have combined experimental data with algorithms and enable an unprecedent predicting capability of the performance of organic solar cells
The results and recommendations are based on the analysis of a pilot course on robotics-training for educators at URV’s Faculty of Educational Sciences and Psychology and other previous documented experiences. Holding this kind of training sessions during university studies and professional practice improve educators’ digital skills and knowledge, and also the quality and impact of classroom activities.
The research, involving URV researcher Vladimir Baulin, opens the door to the development of new bactericide materials as an alternative to antibiotics
This master will provide experience in all areas of catalysis to propose more efficient alternatives, taking advantage of the expertise in homogeneous catalysis of the URV, heterogeneous catalysis of the University of Poitiers, and biocatalysis of the University of Aveiro
More than 50 stakeholders have joined the initiative coordinated by the URV
He has been elected a fellow of the society together with over 100 researchers from 24 countries around the world
08/10/2020
The copy & paste of molecular biology
The Nobel Prize in Chemistry has been awarded to Emmanuelle Charpentier and Jennifer Doudna, in recognition of their research into “molecular scissors”, which can rewrite the code of life
07/10/2020
The irresistible attraction of black holes
The Nobel Prize in Physics 2020 has been to Roger Penrose “for the discovery that black hole formation is a robust prediction of the general theory of relativity” and to Reinhard Genzel and Andrea Ghez “for the discovery of a supermassive compact object at the centre of our galaxy”
A study by the URV has tested the method by which neural networks infer the laws of physics by accurately listing all possible combinations