Abstract: Memory devices, systems including memory devices, and methods of operating memory devices are described, in which memory devices are configured to provide row clear features. In some embodiments, the memory device may receive a command from a host device directed to a row of a memory array included in the memory device. The memory device may determine that the command is directed to two or more columns associated with the row, where each column is coupled with a group of memory cells. The memory device may activate the row to write the two or more columns using a set of predetermined data stored in a register of the memory device. Subsequently, the memory device may deactivate the word line based on writing the set of predetermined data to the two or more columns.

Abstract: A memory device includes a command interface configured to receive write commands from a host device. Additionally, the memory device includes an input buffer configured to buffer a strobe signal from the host device. Furthermore, the memory device includes a first ripple counter and a second ripple counter. The memory device includes command handling circuitry configured to alternatingly start the first ripple counter and the second ripple counter in response to consecutive write commands. The command handling circuitry and/or the first and second ripple counters are configured to suppress a reset of the input buffer if either the first ripple counter or the second ripple counter has not reached a threshold and is still counting.

Abstract: A processor includes a functional unit, and a set of vector registers coupled to the functional unit. The processor executes an instruction to cause the functional unit to classify each value of multiple floating-point values stored in a first vector register of the set of vector registers, and store in a second vector register of the set of registers multiple elements that each indicate a respective classification of a respective value of the multiple floating-point values. The first and second vector registers may be source and destination vector registers, and each may be specified by the instruction. The classify and store operations may also be specified by the instruction. The instruction may be embodied on a device-readable medium.

Abstract: A method to classify source data in a processor in response to a vector floating-point classification instruction includes specifying, in respective fields of the vector floating-point classification instruction, a source register containing the source data and a destination register to store classification indications for the source data. The source register includes a plurality of lanes that each contains a floating-point value and the destination register includes a plurality of lanes corresponding to the lanes of the source register. The method further includes executing the vector floating-point classification instruction by, for each lane in the source register, classifying the floating-point value in the lane to identify a type of the floating-point value, and storing a value indicative of the identified type in the corresponding lane of the destination register.

Abstract: A method to classify source data in a processor in response to a vector floating-point classification instruction includes specifying, in respective fields of the vector floating-point classification instruction, a source register containing the source data and a destination register to store classification indications for the source data. The source register includes a plurality of lanes that each contains a floating-point value and the destination register includes a plurality of lanes corresponding to the lanes of the source register. The method further includes executing the vector floating-point classification instruction by, for each lane in the source register, classifying the floating-point value in the lane to identify a type of the floating-point value, and storing a value indicative of the identified type in the corresponding lane of the destination register.

Abstract: A method to classify source data in a processor in response to a vector floating-point classification instruction includes specifying, in respective fields of the vector floating-point classification instruction, a source register containing the source data and a destination register to store classification indications for the source data. The source register includes a plurality of lanes that each contains a floating-point value and the destination register includes a plurality of lanes corresponding to the lanes of the source register. The method further includes executing the vector floating-point classification instruction by, for each lane in the source register, classifying the floating-point value in the lane to identify a type of the floating-point value, and storing a value indicative of the identified type in the corresponding lane of the destination register.

Abstract: A method to classify source data in a processor in response to a vector floating-point classification instruction includes specifying, in respective fields of the vector floating-point classification instruction, a source register containing the source data and a destination register to store classification indications for the source data. The source register includes a plurality of lanes that each contains a floating-point value and the destination register includes a plurality of lanes corresponding to the lanes of the source register. The method further includes executing the vector floating-point classification instruction by, for each lane in the source register, classifying the floating-point value in the lane to identify a type of the floating-point value, and storing a value indicative of the identified type in the corresponding lane of the destination register.

Abstract: A method to classify source data in a processor in response to a vector floating-point classification instruction includes specifying, in respective fields of the vector floating-point classification instruction, a source register containing the source data and a destination register to store classification indications for the source data. The source register includes a plurality of lanes that each contains a floating-point value and the destination register includes a plurality of lanes corresponding to the lanes of the source register. The method further includes executing the vector floating-point classification instruction by, for each lane in the source register, classifying the floating-point value in the lane to identify a type of the floating-point value, and storing a value indicative of the identified type in the corresponding lane of the destination register.

Abstract: A method to classify source data in a processor in response to a vector floating-point classification instruction includes specifying, in respective fields of the vector floating-point classification instruction, a source register containing the source data and a destination register to store classification indications for the source data. The source register includes a plurality of lanes that each contains a floating-point value and the destination register includes a plurality of lanes corresponding to the lanes of the source register. The method further includes executing the vector floating-point classification instruction by, for each lane in the source register, classifying the floating-point value in the lane to identify a type of the floating-point value, and storing a value indicative of the identified type in the corresponding lane of the destination register.

Abstract: A toroidal microinductor comprises a nanocomposite magnetic core employing superparamagnetic nanoparticles covalently cross-linked in an epoxy network. The core material eliminates energy loss mechanisms in existing inductor core materials, providing a path towards realizing low form factor devices. As an example, both a 2 ?H output and a 500 nH input microinductors comprising superparamagnetic iron nanoparticles were modeled for a high-performance buck converter. Both modeled inductors had 50 wire turns, less than 1 cm3 form factors, less than 1 ?AC resistance and quality factors, Q's, of 27 at 1 MHz. In addition, the output microinductor had an average output power of 7 W and power density of 3.9 kW/in3.

Abstract: The present invention is directed to the syntheses of superparamagnetic nanoparticles and the incorporation of the nanoparticles as the magnetic component to form a strongly magnetic nanocomposite. The superparamagnetic nanoparticles possess no hysteresis and are too small to support eddy currents. The invention uses a ligand exchange procedure to produce aminated nanoparticles that are then cross-linked using epoxy chemistry. The result is a magnetic nanoparticle component that is covalently linked and well separated. By using this ‘matrix-free’ approach, it is possible to substantially increase the magnetic nanoparticle fraction, while still maintaining good separation, leading to a superparamagnetic nanocomposite with strong magnetic properties and low magnetic losses.

Abstract: A method for creating nanoparticles directly from bulk metal by applying ultrasound to the surface in the presence of a two-part surfactant system. Implosive collapse of cavitation bubbles near the bulk metal surface generates powerful microjets, leading to material ejection. This liberated material is captured and stabilized by a surfactant bilayer in the form of nanoparticles. Nanoparticles can be produced regardless of the bulk metal form factor. The method is generally applicable of metals and alloys. The method can be applied to an environmentally important problem, the reclamation of gold from an electronic waste stream.

Abstract: The invention provides a green chemistry, aqueous method to synthesize gold nanoparticles directly from bulk gold sources. The method involves the ultrasonication of bulk gold in water in the presence of an alkythiol species and a quaternary ammonium surfactant. An organic bilayer forms on the surface of the gold which renders it susceptible to material ejection from the violent collapse of cavitation bubbles. This ejected material is stabilized in solution by the formation of an organic bilayer and can be easily separated. It can then be subjected to an aqueous digestive ripening step to give a gold nanoparticle ensemble with a well-defined plasmon resonance. This method is applicable to a number of different sources of bulk gold. The method can be applied to an environmentally important problem; the recovery of gold from electronic waste streams. For example, gold nanoparticles can be extracted directly from the surface of SIM cards, with no prior manipulation of the cards necessary.

Abstract: The present invention is directed to the syntheses of superparamagnetic nanoparticles and the incorporation of the nanoparticles as the magnetic component to form a strongly magnetic nanocomposite. The superparamagnetic nanoparticles possess no hysteresis and are too small to support eddy currents. The invention uses a ligand exchange procedure to produce aminated nanoparticles that are then cross-linked using epoxy chemistry. The result is a magnetic nanoparticle component that is covalently linked and well separated. By using this ‘matrix-free’ approach, it is possible to substantially increase the magnetic nanoparticle fraction, while still maintaining good separation, leading to a superparamagnetic nanocomposite with strong magnetic properties and low magnetic losses.

Abstract: A method for creating nanoparticles directly from bulk metal by applying ultrasound to the surface in the presence of a two-part surfactant system. Implosive collapse of cavitation bubbles near the bulk metal surface generates powerful microjets, leading to material ejection. This liberated material is captured and stabilized by a surfactant bilayer in the form of nanoparticles. Nanoparticles can be produced regardless of the bulk metal form factor. The method is generally applicable of metals and alloys. The method can be applied to an environmentally important problem, the reclamation of gold from an electronic waste stream.

Abstract: The invention provides a green chemistry, aqueous method to synthesize gold nanoparticles directly from bulk gold sources. The method involves the ultrasonication of bulk gold in water in the presence of an alkythiol species and a quaternary ammonium surfactant. An organic bilayer forms on the surface of the gold which renders it susceptible to material ejection from the violent collapse of cavitation bubbles. This ejected material is stabilized in solution by the formation of an organic bilayer and can be easily separated. It can then be subjected to an aqueous digestive ripening step to give a gold nanoparticle ensemble with a well-defined plasmon resonance. This method is applicable to a number of different sources of bulk gold. The method can be applied to an environmentally important problem; the recovery of gold from electronic waste streams. For example, gold nanoparticles can be extracted directly from the surface of SIM cards, with no prior manipulation of the cards necessary.

Abstract: A programmable pH buffer comprises a copolymer that changes pKa at a lower critical solution temperature (LCST) in water. The copolymer comprises a thermally programmable polymer that undergoes a hydrophobic-to-hydrophilic phase change at the LCST and an electrolytic polymer that exhibits acid-base properties that are responsive to the phase change. The programmable pH buffer can be used to sequester CO2 into water.

Abstract: A programmable pH buffer comprises a copolymer that changes pKa at a lower critical solution temperature (LCST) in water. The copolymer comprises a thermally programmable polymer that undergoes a hydrophobic-to-hydrophilic phase change at the LCST and an electrolytic polymer that exhibits acid-base properties that are responsive to the phase change. The programmable pH buffer can be used to sequester CO2 into water.

Abstract: A system includes a rotor, a rotor antenna attached to the rotor, a strain detection device attached to the rotor, a programmable gain amplifier attached to the rotor, and a control module attached to the rotor. The strain detection device is configured to generate signals that indicate an amount of strain in the rotor. The programmable gain amplifier is configured to amplify the signals generated by the strain detection device by a gain value. The gain value is programmable. The control module is configured to program the gain value of the programmable gain amplifier and transmit, via the rotor antenna, digital data that is derived from the amplified signals.