In wood, bound water molecules, located in cell walls, can move to great heights to eventually humidify canopy leaves. Using ...

Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid chromatography. Rzeszow University of Technology researchers based in ...

# create virtual environment conda create -n DifIISR python=3.10 conda activate DifIISR # install requirements pip install -r requirements.txt ...

Understanding the evaporation process of binary sessile droplets is essential for optimizing various technical processes, such as inkjet printing or heat transfer. Liquid mixtures whose evaporation ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

We have made significant progress towards building foundational video diffusion models. As these models are trained using large-scale unsupervised data, it has become crucial to adapt these models to ...

1 Living Systems Institute, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom 2 Department of Physics and Astronomy, Faculty of Environment, Science and Economy, ...

Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...

Researchers have made notable strides in training diffusion models using reinforcement learning (RL) to enhance prompt-image alignment and optimize various objectives. Introducing denoising diffusion ...