A study by the URV has tested the method by which neural networks infer the laws of physics by accurately listing all possible combinations
Show all news from "Department of Chemical Engineering"
The combination of two techniques allows the in-depth analysis of the composition of insect dust which is increasingly sold as a dietary ingredient
An international team of researchers advocates the use of UV-C light in indoor spaces as a way to reduce the transmission of SARS-CoV-2 viruses. This solution meets the requirements of fast, scalable, and affordable implementation to fulfill the needs of disinfecting working spaces
URV researchers have developed a nanometric-scale theoretical model to create structures that kill bacteria by using elastic forces. The results of this study pave the way to creating new antibacterial materials
Large scale testing of the device is underway; in only 15 minutes and with just a single pinprick of blood it can determine with 100% reliability if a person has the disease or if they have developed antibodies to it
The research opens the door to developing more natural drugs that are less toxic for patients with cancer. The results of this study led by researchers from the URV have been published in the journal Scientific Reports
The aim is to develop a serological test within 3 months that takes only 15 minutes to differentiate between patients that have the virus and those who have already has it
Led by the research staff of the Department of Chemical Engineering, the research has been carried out with lemon essential oil, a product that is extensively used in the food industry
31/01/2020
The most human algorithm
URV and ICREA researchers have designed an algorithm that can automatically identify mathematical models that not only improve the reliability of the predictions they make but also provide information for understanding the data as a scientist would
Led by the URV researcher Vladimir Baulin, this study has also discovered a new role of cholesterol that will help to understand the development of some diseases and cell processes