Abstract: A magnetic field detector and associated methods are shown. One example of a magnetic field detector uses spin wave interference to detect information about an external magnetic field.

Abstract: A magnetic field detector and associated methods are shown. One example of a magnetic field detector uses spin wave interference to detect information about an external magnetic field.

Abstract: An electronic device using an array of magnetic wave guides is shown. In one example a memory device is shown that utilizes spin waves and a magnet storage element that interacts with the spin waves. In one example, an electronic device is shown that utilizes both a complementary metal oxide device and a magnonic device coupled together.

Abstract: An electronic device using an array of magnetic wave guides is shown. In one example a memory device is shown that utilizes spin waves and a magnet storage element that interacts with the spin waves. In one example, an electronic device is shown that utilizes both a complementary metal oxide device and a magnonic device coupled together.

Abstract: An electronic device using an array of magnetic wave guides is shown. In one example a memory device is shown that utilizes spin waves and a magnet storage element that interacts with the spin waves. In one example, an electronic device is shown that utilizes both a complementary metal oxide device and a magnonic device coupled together.

Abstract: A frequency conversion device, which may include a radiofrequency (RF) mixer device, includes a substrate and a ferromagnetic film disposed over a surface of the substrate. An insulator is disposed over the ferromagnetic film and at least one microstrip antenna is disposed over the insulator. The ferromagnetic film provides a non-linear response to the frequency conversion device. The frequency conversion device may be used for signal mixing and amplification. The frequency conversion device may also be used in data encryption applications.

Abstract: A dual-gate transistor having a negative differential resistance (NDR) region is disclosed. The dual-gate transistor includes a back-gate, a zero-bandgap graphene layer disposed on the back-gate, a top-gate disposed on a portion of the zero-bandgap graphene layer adjacent to the top-gate, and a drain disposed on a portion of the zero-bandgap graphene layer adjacent to the top-gate and displaced from the source. Also included is a dynamic bias controller configured to simultaneously sweep a source-drain voltage and a top-gate voltage across a Dirac point to provide operation within the NDR region. Operation within the NDR region is employed to realize non-Boolean logic functions. Graphene-based non-Boolean logic circuits are constructed from pluralities of the disclosed dual-gate transistor. Pattern recognition circuitry for operation between 100 GHz and 500 GHz is also disclosed via the graphene-based non-Boolean logic circuits.

Abstract: A dual-gate transistor having a negative differential resistance (NDR) region is disclosed. The dual-gate transistor includes a back-gate, a zero-bandgap graphene layer disposed on the back-gate, a top-gate disposed on a portion of the zero-bandgap graphene layer adjacent to the top-gate, and a drain disposed on a portion of the zero-bandgap graphene layer adjacent to the top-gate and displaced from the source. Also included is a dynamic bias controller configured to simultaneously sweep a source-drain voltage and a top-gate voltage across a Dirac point to provide operation within the NDR region. Operation within the NDR region is employed to realize non-Boolean logic functions. Graphene-based non-Boolean logic circuits are constructed from pluralities of the disclosed dual-gate transistor. Pattern recognition circuitry for operation between 100 GHz and 500 GHz is also disclosed via the graphene-based non-Boolean logic circuits.

Abstract: Nano-scale and multi-scale computational architectures using spin waves as a physical mechanism for device interconnection are provided. Solid-state spin-wave computing devices using nano-scale and multi-scale computational architectures comprised of a plurality of inputs and a plurality of outputs are described where such devices are configured to simultaneously transmit data elements from the inputs to the outputs by using spin-waves of differing frequencies. These devices include but are not limited to a spin-wave crossbar, a spin-wave reconfigurable mesh, a spin-wave fully-interconnected cluster, a hierarchical multi-scale spin-wave crossbar, a hierarchical multi-scale spin-wave reconfigurable mesh and a hierarchical multi-scale spin-wave fully-interconnected cluster.

Abstract: Nano-scale and multi-scale computational architectures using spin waves as a physical mechanism for device interconnection are provided. Solid-state spin-wave computing devices using nano-scale and multi-scale computational architectures comprised of a plurality of inputs and a plurality of outputs are described where such devices are configured to simultaneously transmit data elements from the inputs to the outputs by using spin-waves of differing frequencies. These devices include but are not limited to a spin-wave crossbar, a spin-wave reconfigurable mesh, a spin-wave fully-interconnected cluster, a hierarchical multi-scale spin-wave crossbar, a hierarchical multi-scale spin-wave reconfigurable mesh and a hierarchical multi-scale spin-wave fully-interconnected cluster.

Abstract: New kinds of nano-scale computational architectures using spin waves as a physical mechanism for device interconnection are described. A method for operating a logic device having a spin wave bus includes the step of receiving an input signal representing information. A spin wave is excited with the information coded in an aspect of the spin wave in response to receiving the input signal. The spin wave is propagated through a spin wave bus having an associated polarization. The information associated with the spin wave is determined in response to propagating the spin wave through the spin wave bus.

Abstract: Nano-scale and multi-scale computational architectures using spin waves as a physical mechanism for device interconnection are provided. Solid-state spin-wave computing devices using nano-scale and multi-scale computational architectures comprised of a plurality of inputs and a plurality of outputs are described where such devices are configured to simultaneously transmit data elements from the inputs to the outputs by using spin-waves of differing frequencies. These devices include but are not limited to a spin-wave crossbar, a spin-wave reconfigurable mesh, a spin-wave fully-interconnected cluster, a hierarchical multi-scale spin-wave crossbar, a hierarchical multi-scale spin-wave reconfigurable mesh and a hierarchical multi-scale spin-wave fully-interconnected cluster.

Abstract: A frequency conversion device, which may include a radiofrequency (RF) mixer device, includes a substrate and a ferromagnetic film disposed over a surface of the substrate. An insulator is disposed over the ferromagnetic film and at least one microstrip antenna is disposed over the insulator. The ferromagnetic film provides a non-linear response to the frequency conversion device. The frequency conversion device may be used for signal mixing and amplification. The frequency conversion device may also be used in data encryption applications.

Abstract: A method and state stabilizer for enhancing computing functionality by using fast excitations are described. The state stabilizer includes a voltage source for producing fast excitations having an associated excitation amplitude. An electronic device having an associated negative differential resistance region is also included. The excitation amplitude is greater than a width of the negative differential resistance region.

Abstract: A low-power memory device that uses hole-mediated ferromagnetism creates substantial advantages over conventional systems. Some of these advantages include reducing power consumption by several orders of magnitude and facilitating wireless monitoring of memory cells. In one implementation, an electronic device is described that includes a plurality of memory cells. Each of the memory cells has a material with first and second magnetic states. The material is in the first magnetic state when a contact associated with the material is at a first voltage, and the material is in the second magnetic state when the contact is at a second voltage. A conductor is positioned proximate to and extending around the plurality of memory cells. An inductive voltage across the conductor varies when at least one of the memory cells changes magnetic state. A detection device determines the magnetic state of the memory cells based on an inductive voltage measurement.

Abstract: Nano-scale and multi-scale computational architectures using spin waves as a physical mechanism for device interconnection are provided. Solid-state spin-wave computing devices using nano-scale and multi-scale computational architectures comprised of a plurality of inputs and a plurality of outputs are described where such devices are configured to simultaneously transmit data elements from the inputs to the outputs by using spin-waves of differing frequencies. These devices include but are not limited to a spin-wave crossbar, a spin-wave reconfigurable mesh, a spin-wave fully-interconnected cluster, a hierarchical multi-scale spin-wave crossbar, a hierarchical multi-scale spin-wave reconfigurable mesh and a hierarchical multi-scale spin-wave fully-interconnected cluster.

Abstract: A low-power memory device that uses hole-mediated ferromagnetism creates substantial advantages over conventional systems. Some of these advantages include reducing power consumption by several orders of magnitude and facilitating wireless monitoring of memory cells. In one implementation, an electronic device is described that includes a plurality of memory cells. Each of the memory cells has a material with first and second magnetic states. The material is in the first magnetic state when a contact associated with the material is at a first voltage, and the material is in the second magnetic state when the contact is at a second voltage. A conductor is positioned proximate to and extending around the plurality of memory cells. An inductive voltage across the conductor varies when at least one of the memory cells changes magnetic state. A detection device determines the magnetic state of the memory cells based on an inductive voltage measurement.