The exploitation of polarization or charge separation in ferroelectric materials has led to remarkable advances in various fields, such as the development of new ultrasound diagnostic devices.

Recent advancements have witnessed an impressive convergence between neural network architectures and spectroscopic techniques within computer vision. Deep learning methods, particularly convolutional ...

From the famous 1918 H1N1 influenza to the present COVID-19 pandemic, the need for improved viral detection techniques is all too apparent. The aim of the present paper is to show that identification ...

To increase the device lifetimes and efficiency of OLEDs, it is critical to understand the electrical charge behavior at different interfaces within. Professor Takayuki Miyamae and his team from Chiba ...

Microfluidics has become a revolutionary field with multiple applications across scientific disciplines, such as chemistry, biology, physics, and engineering. Manipulating small volumes of fluids in ...

Relaxor–ferroelectric materials are high-performance ultrasound generation elements exhibiting large dielectric responses owing to their complex structures. Understanding the polarization behavior in ...

In traditional medical diagnostics, the procedure involves taking a patient biopsy sample and then meticulous analysis, which commonly utilizes microscopy methods within a laboratory setting. While ...

Graphene is a single-atom-thick carbon sheet discovered in 2004. The crucial question during graphene synthesis is, "How do I know that the material I'm making is actually single-atom thick?" Because ...

Diffuse reflectance spectroscopy could be used as a feedback mechanism to prevent iatrogenic nerve damage during oral and maxillofacial laser surgery, according to a study in the Journal of ...

Fossil fuels are widely used in automobiles, industry, and power plants, but due to excessive use they are depleting at a rapid rate. This has prompted a search for renewable, sustainable, and ...