In the field of sports biomechanics, computational modeling has emerged as a powerful tool for analyzing human movement and enhancing athletic performance.

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

PhD Position on Polymer Coating Development for Optical Hydrogen Sensors. Delft University of Technology (TU Delft) Delft, Netherlands. EUR 2,901-3,707 / month. Posted on Jul 17, ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

In the realm of computational physics education, enhancing student engagement remains a pivotal challenge. This research delved into the potential of Project-Based Learning (PBL), with a particular ...

The monotonicity of traditional teaching mode and the high demandingness of modern project-oriented teaching method determine that single teaching mode cannot reach adequate teaching performance. In ...

framework energy research physics spacetime fusion computational-physics theoretical-physics transmutation quantum-gravity loop-quantum-gravity negative-energy warp-drive alcubierre exotic-matter ...

From 1 July, researchers funded by the US National Institutes of Health (NIH) will be required to make their scientific papers available to read for free as soon as they are published in a peer ...

PyQuake3D is a high-performance Python-based Boundary Element Method (BEM) code for simulating sequences of seismic and aseismic slip (SEAS) on a complex 3D fault geometry governed by rate- and ...