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Universitat Rovira i Virgili


Machine-learning to predict the performance of organic solar cells

Researchers from Universitat Rovira i Virgili and Institute of Materials Science of Barcelona have combined experimental data with algorithms to enable an unprecedented predicting capability of the performance of organic solar cells. The study uses a new experimental method to generate large datasets, which are then used to train machi...

SourceUniversitat Rovira i Virgili·JournalEnergy & Environmental Science·DateJan 28, 2021

Two anti-inflammatory drugs found that inhibit the replication of the COVID-19 virus

Researchers have identified two anti-inflammatory drugs that can inhibit the replication of the COVID-19 virus. The study used computational techniques to analyze 6,466 authorized drugs and predicted that Carprofen and Celecoxib could be effective in inhibiting the main protease enzyme responsible for the virus's replication.

SourceUniversitat Rovira i Virgili·JournalInternational Journal of Molecular Sciences·DateMay 27, 2020

The most human algorithm

A team from Universitat Rovira i Virgili developed an algorithm that makes accurate predictions and generates interpretable models. This allows for a better understanding of the data, reducing biases in original data and providing valuable information for scientists.

SourceUniversitat Rovira i Virgili·JournalScience Advances·DateJan 31, 2020

Quicker and twice as accurate predictions

Researchers at URV develop collaborative filtering model with scalable algorithm for predicting individual preferences and group overlaps. The new approach provides more accurate predictions than existing algorithms by considering individual differences, making it ideal for large datasets.

SourceUniversitat Rovira i Virgili·JournalProceedings of the National Academy of Sciences·DateNov 28, 2016