Massachusetts Institute of Technology (MIT) researchers have developed a new, ultrasensitive magnetic-field detector that is 1,000 times more energy-efficient than its predecessors. It could lead to miniaturized, battery-powered devices for medical and materials imaging, contraband detection and even geological exploration.
Magnetic-field detectors, or magnetometers, are already used for all those applications. But existing technologies have drawbacks: Some rely on gas-filled chambers; others work only in narrow frequency bands, limiting their utility.
Synthetic diamonds with nitrogen vacancies (NVs)—defects that are extremely sensitive to magnetic fields—have long held promise as the basis for efficient, portable magnetometers. A diamond chip about one-twentieth the size of a thumbnail could contain trillions of nitrogen vacancies, each capable of performing its own magnetic-field measurement.
The problem has been aggregating all those measurements. Probing a nitrogen vacancy requires zapping it with laser light, which it absorbs and re-emits. The intensity of the emitted light carries information about the vacancy’s magnetic state.
“In the past, only a small fraction of the pump light was used to excite a small fraction of the NVs,” says Dirk Englund, the Jamieson Career Development Assistant Professor in Electrical Engineering and Computer Science and one of the designers of the new device. “We make use of almost all the pump light to measure almost all of the NVs.”
The MIT researchers report their new device in Nature Physics. First author on the paper is Hannah Clevenson, a graduate student in electrical engineering who is advised by senior authors Englund and Danielle Braje, a physicist at MIT Lincoln Laboratory. They’re joined by Englund’s students Matthew Trusheim and Carson Teale (who’s also at Lincoln Lab) and by Tim Schröder, a postdoctoral researcher in MIT’s Research Laboratory of Electronics.
Telling absence
A pure diamond is a lattice of carbon atoms, which don’t interact with magnetic fields. A nitrogen vacancy is a missing atom in the lattice, adjacent to a nitrogen atom. Electrons in the vacancy do interact with magnetic fields, which is why they’re useful for sensing.
When a light particle—a photon—strikes an electron in a nitrogen vacancy, it kicks it into a higher energy state. When the electron falls back down into its original energy state, it may release its excess energy as another photon. A magnetic field, however, can flip the electron’s magnetic orientation, or spin, increasing the difference between its two energy states. The stronger the field, the more spins it will flip, changing the brightness of the light emitted by the vacancies.
Making accurate measurements with this type of chip requires collecting as many of those photons as possible. In previous experiments, Clevenson says, researchers often excited the nitrogen vacancies by directing laser light at the surface of the chip.
“Only a small fraction of the light is absorbed,” she says. “Most of it just goes straight through the diamond. We gain an enormous advantage by adding this prism facet to the corner of the diamond and coupling the laser into the side. All of the light that we put into the diamond can be absorbed and is useful.”
Covering the bases
The researchers calculated the angle at which the laser beam should enter the crystal so that it will remain confined, bouncing off the sides—like a tireless cue ball ricocheting around a pool table—in a pattern that spans the length and breadth of the crystal before all of its energy is absorbed.
“You can get close to a meter in path length,” Englund says. “It’s as if you had a meter-long diamond sensor wrapped into a few millimeters.” As a consequence, the chip uses the pump laser’s energy 1,000 times as efficiently as its predecessors did.
Because of the geometry of the nitrogen vacancies, the re-emitted photons emerge at four distinct angles. A lens at one end of the crystal can collect 20% of them and focus them onto a light detector, which is enough to yield a reliable measurement.
Source: Massachusetts Institute of Technology
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