Paper co-authored by ERG amongst top cited articles recently published in ES&T
Mehdi Gharasoo of the Ecohydrology Research Group co-authored an article, titled “Deep Learning Neural Network Approach for Predicting the Sorption of Ionizable and Polar Organic Pollutants to a Wide Range of Carbonaceous Materials”, in collaboration with the researchers at the Vienna University, Centre for Microbiology and Environmental Systems Science, which was published in Environmental Science and Technology (ES&T). The article has been selected as one of the top cited articles in ES&T by the authors from Europe region from 2018-2020.