Numerical Continuation and Stationkeeping of Quasi-Periodic Quasi-Satellite Orbits around Phobos Quasi-satellite orbits (QSOs) have been under the research spotlight due to their linear stability and ...

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...

Abstract: Post-training quantization (PTQ) has stood out as a cost-effective and promising model compression paradigm in recent years, as it avoids computationally intensive model retraining.

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...

The year isn't over yet, but we've already seen record-breaking quantum computers, skyrocketing levels of investment, and demonstrations of real-world benefits.

The Trump administration scored a surprise win-win this year, as Wall Street boomed while the dollar fizzled. But a repeat ...

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...