UoB researcher helps to introduce a powerful new approach for simulating the behaviour of flexible structures in co-written tutorial ...

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

Seven projects led by McMaster faculty and staff members are receiving grants for the creation and integration of free, high quality open textbooks and course . . .

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D flow MRI, computational fluid dynamics, and data assimilation, which ...

This article presents a novel bi-directional converter based interconnection planning approach for hybrid AC/DC microgrids ...

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the ...

Computing derivatives of noisy measurement data is ubiquitous in the physical, engineering, and biological sciences, and it is often a critical step in developing dynamic models or designing control.

Impaired neuromusculoskeletal function due to conditions such as stroke, osteoarthritis, cerebral palsy, Parkinson's disease, limb amputation, spinal cord injury, traumatic brain injury and cancer is ...

Light-based data made clearer with new machine learning method Tool offers precise insight on viral proteins, brain disease markers and semiconductors Date: May 4, 2025 Source: Rice University ...

This second approach efficiently uses training data by enabling the model to learn the underlying physical effects from the entire mesh's data. It also represents a radically new way to tackle some of ...