Deep neural networks (DNNs) are empirically derived systems that have transformed
traditional research methods, and are driving scientific discovery. Artificial electromagnetic …

Metamaterials enable subwavelength tailoring of light–matter interactions, driving
fundamental discoveries which fuel novel applications in areas ranging from compressed …

Since the beginning of the 20th century, researchers have been looking for an effective way
to transfer power without wired connections, but the wireless power transfer technology …

The ability to wirelessly power electrical devices is becoming of greater urgency as a
component of energy conservation and sustainability efforts. Due to health and safety …

With increasing penetration of wireless charging technologies comes an ever-rising demand
for wireless power transfer (WPT) structures that demonstrate high power transfer and power …

Wireless power transfer using resonant inductive coupling has been employed in a number
of applications, including wireless charging of electronic devices and powering of implanted …

An extremely compact and low-frequency metamaterial design is presented in the following
work. A ferrite loaded solenoid with a size on the order of 1/10000 of the wavelength of …

We present a theory of perfect absorption in a bilayer model composed of a mu-near-zero
(MNZ) metamaterial (MM) absorbing layer on a metallic substrate. Our analytical solutions …

In order to meet both safety and efficiency requirements of wireless power transfer (WPT)
systems, reducing electromagnetic field (EMF) leakage and improving efficiency are critical …

We present a compact, magnetically dispersive engineered surface for resonant inductive
wireless power transfer (WPT) that significantly enhances the performance of an inductive …