AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

Yosra Barkaoui’s doctoral dissertation in mathematics at the University of Vaasa, Finland, has successfully generalised a fundamental theorem that has been limited to the bounded case. The research ...

This article evaluates bulk analysis and scratch analysis methods for particle dispersion, highlighting the superiority of ...

Discover how polymer upcycling through reactive extrusion and FTIR microscopy enables enhanced blend compatibilization for ...

By Vijay Kumar Malesu Long hours and shift work play a role, but new Australian research shows age, gender, education, and ...

New smart polymer signals hidden damage in construction materials without reacting to heat or sunlight ...

Quite a few people have sent me a report seemingly commissioned by the GoldBod and written by three economists, some with ...

Abstract: Hamacher aggregation operators are more flexible and more dominant to determine the interrelationships between any number of attributes. The goal of this manuscript is to elaborate on the ...

Evidence shows electric vehicle adoption is nearing a tipping point, with declining battery costs and enhanced infrastructure ...

Quite a few people have sent me a report seemingly commissioned by the GoldBod and written by three economists, some with ...