A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 percent, far outperforming conventional models.

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Graph neural networks (GNNs) hold potential for harnessing data power to tackle application challenges in electrical engineering, physics, material science and biology. The cover image shows the ...

The Engineering Physics program, administered by the electrical and biomedical engineering department, leads to the bachelor of science in engineering physics degree. The program is designed for the ...

The Department of Physics and Engineering Physics offers major programs of lecture and laboratory instruction leading to the bachelor of science in physics and the bachelor of science in engineering ...