The same technology behind MRI images of injury or disease also powers nuclear magnetic resonance (NMR) spectroscopy, which ...

The simulation of quantum systems and the development of systems that can perform computations leveraging quantum mechanical ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Two-dimensional (2D) semiconductors, materials that can conduct electricity and are only a few atoms thick, are promising alternatives to the conventional silicon-based semiconductors currently used ...

First-ever atomic-scale identification of hierarchical moiré structures in 2D materials / - Opens new possibilities for programmable quantum material design ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Plot 2d graph using MatPlotLib import matplotlib.pyplot as plt import numpy as np xpoints = np.array ( [0, 6]) ypoints = np.array ( [0, 250]) plt.plot (xpoints, ypoints) plt.title ("Sample Plots") plt ...

Transcranial ultrasound image-guided blood–brain barrier (BBB) opening of multiple-targets was achieved in vivo, using the proposed dual-mode 2D array. The obtained results indicate that the dual-mode ...

Using 2D materials on chips without destroying the wiring 2D materials are typically made at temperatures that wreck silicon chips.

In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation. The proposed ...

Uniform 2D arrays of metal nanoparticles (NPs) have received significant attention in the field of molecular sensing using localized surface plasmon resonance. Generally, metal NPs bear organic ...