Abstract: A neuron circuit and an artificial neural network chip are provided. The neuron circuit includes a memristor and an integrator. The memristor generates a pulse train having an oscillation frequency when an applied voltage exceeds a predetermined threshold. The integrator is connected in parallel to the memristor for receiving and accumulating input pulses transmitted by a previous layer network at different times, and driving the memristor to transmit the pulse train to a next layer network when a voltage of the accumulated input pulses exceeds the predetermined threshold.

Abstract: A ferroelectric memory is provided. The ferroelectric memory includes a substrate, a first conductive layer disposed on the substrate, a patterned oxide layer disposed on the first conductive layer and the substrate, exposing a part of the first conductive layer, a second conductive layer disposed on the exposed first conductive layer and the patterned oxide layer, an antiferroelectric layer disposed on the exposed first conductive layer and the second conductive layer, a ferroelectric layer disposed on the second conductive layer and located on the antiferroelectric layer, a conductive oxide layer disposed between the antiferroelectric layer, and a third conductive layer disposed on the conductive oxide layer and between the ferroelectric layer.

Abstract: A computation operator in memory and an operation method thereof are provided. The computation operator in memory includes a word line calculator, a decision-maker and a sense amplifier. The word line calculator calculates a number of enabled word lines of a memory. The decision-maker generates a plurality of reference signals according to at least one of the number of enabled word lines and a used size of the memory, the reference signals are configured to set a distribution range. The sense amplifier receives a readout signal of the memory, and obtains a computation result by converting the readout signal according to the reference signals.

Abstract: A computation operator in memory and an operation method thereof are provided. The computation operator in memory includes a word line calculator, a decision-maker and a sense amplifier. The word line calculator calculates a number of enabled word lines of a memory. The decision-maker generates a plurality of reference signals according to at least one of the number of enabled word lines and a used size of the memory, the reference signals are configured to set a distribution range. The sense amplifier receives a readout signal of the memory, and obtains a computation result by converting the readout signal according to the reference signals.

Abstract: A ferroelectric memory is provided. The ferroelectric memory includes a substrate, a first conductive layer disposed on the substrate, a patterned oxide layer disposed on the first conductive layer and the substrate, exposing a part of the first conductive layer, a second conductive layer disposed on the exposed first conductive layer and the patterned oxide layer, an antiferroelectric layer disposed on the exposed first conductive layer and the second conductive layer, a ferroelectric layer disposed on the second conductive layer and located on the antiferroelectric layer, a conductive oxide layer disposed between the antiferroelectric layer, and a third conductive layer disposed on the conductive oxide layer and between the ferroelectric layer.

Abstract: A ferroelectric memory is provided. The ferroelectric memory includes a first electrode layer having a dominant crystallographic orientation of (110) or (220), a second electrode layer opposite the first electrode layer, wherein the second electrode layer has a dominant crystallographic orientation of (110) or (220), and a ferroelectric layer disposed between the first electrode layer and the second electrode layer, wherein the ferroelectric layer has a dominant crystallographic orientation of (111).

Abstract: A ferroelectric memory is provided. The ferroelectric memory includes a first electrode layer having a dominant crystallographic orientation of (110) or (220), a second electrode layer opposite the first electrode layer, wherein the second electrode layer has a dominant crystallographic orientation of (110) or (220), and a ferroelectric layer disposed between the first electrode layer and the second electrode layer, wherein the ferroelectric layer has a dominant crystallographic orientation of (111).

Abstract: A neuron circuit and an artificial neural network chip are provided. The neuron circuit includes a memristor and an integrator. The memristor generates a pulse train having an oscillation frequency when an applied voltage exceeds a predetermined threshold. The integrator is connected in parallel to the memristor for receiving and accumulating input pulses transmitted by a previous layer network at different times, and driving the memristor to transmit the pulse train to a next layer network when a voltage of the accumulated input pulses exceeds the predetermined threshold.

Abstract: A neural circuit is provided. The neural circuit includes a neural array. The neural array includes a plurality of semiconductor components. Each of the semiconductor components stores a weighting value to generate a corresponding output current or a corresponding equivalent resistance. The neural array receives a plurality of input signals to control the semiconductor components in the neural array and respectively generates the output currents or changes the equivalent resistances. Since the semiconductor components are coupled to each other, output of the neural array may generate a summation current or a summation equivalent resistance related to the input signals and a weighting condition, so that a computing result exhibits high performance.

Abstract: A ferroelectric memory is provided. The ferroelectric memory includes a first electrode, a second electrode opposite to the first electrode, at least one ferroelectric layer disposed between the first electrode and the second electrode, and at least one antiferroelectric layer disposed between the first electrode and the second electrode, wherein the antiferroelectric layer is in contact with the ferroelectric layer.

Abstract: A ferroelectric memory is provided. The ferroelectric memory includes a first electrode, a second electrode opposite to the first electrode, at least one ferroelectric layer disposed between the first electrode and the second electrode, and at least one antiferroelectric layer disposed between the first electrode and the second electrode, wherein the antiferroelectric layer is in contact with the ferroelectric layer.

Abstract: A GaN-based transistor device comprises a substrate; a buffer layer disposed on the substrate; a channel layer disposed on the buffer layer; a barrier layer disposed on a part of the channel layer; a passivation layer disposed on the barrier layer; wherein the barrier layer and the passivation layer comprise a first side wall and a second side wall; a barrier metal layer disposed on the passivation layer has a first opening that exposes a part of the passivation layer, and the passivation layer has a second opening located in the first opening; a gate electrode disposed on the exposed part of the barrier layer, a source electrode disposed on the channel layer covers the first side wall and a part of the barrier metal layer, and a drain electrode disposed on the channel layer covers the second side wall and another part of the barrier metal layer.

Abstract: A GaN-based transistor device comprises a substrate; a buffer layer disposed on the substrate; a channel layer disposed on the buffer layer; a barrier layer disposed on a part of the channel layer; a passivation layer disposed on the barrier layer; wherein the barrier layer and the passivation layer comprise a first side wall and a second side wall; a barrier metal layer disposed on the passivation layer has a first opening that exposes a part of the passivation layer, and the passivation layer has a second opening located in the first opening; a gate electrode disposed on the exposed part of the barrier layer, a source electrode disposed on the channel layer covers the first side wall and a part of the barrier metal layer, and a drain electrode disposed on the channel layer covers the second side wall and another part of the barrier metal layer.

Abstract: This disclosure provides an epitaxial wafer, which includes: a silicon wafer having a central area and an extremity area enclosing the central area, the extremity area having a stepped profile; and an nitride epitaxial layer formed on the silicon wafer; wherein, the stepped profile has a width between 10 and 1500 ?m and a height between 1 and 500 ?m.

Abstract: A structure of random access memory includes a memory cell and a selector. The memory cell has two different conductive states according to a bias applied on the memory cell. The selector is electrically connected to the memory cell in series. An operation voltage is applied between two end terminals of the memory cell and the selector connected in series. A structure of the selector formed from multiple capacitors coupled in series, includes a plurality of dielectric layers corresponding to the capacitors; and a metal conductive layer, disposed between the dielectric layers. A material of the metal conductive layer is to resist a material inter-diffusion between adjacent two of the dielectric layers in different materials.

Abstract: A III-nitride based semiconductor structure includes a substrate; a buffer layer disposed above the substrate; a first gallium nitrite (GaN) layer disposed above the buffer layer and including p-type GaN; a second GaN layer disposed on the first GaN layer and including at least a first region and a second region; a channel layer disposed above the second GaN layer; a barrier layer disposed above the channel layer; and a gate electrode disposed above the barrier layer. The first region of the second GaN layer is positioned correspondingly to the gate electrode and includes n-type GaN having a first doping concentration. The second region of the second GaN layer (such as the lateral portion of the second GaN layer) is positioned correspondingly to the areas outsides the gate electrode and includes n-type GaN having a second doping concentration larger than the first doping concentration.

Abstract: A memory cell of a resistive random access memory and a manufacturing method thereof are provided. The method includes the following steps. A first electrode is formed. A metal oxide layer is formed on the first electrode. An electrode buffer stacked layer is formed on the metal oxide layer and includes a first buffer layer and a second buffer layer, and the first buffer layer is located between the second buffer layer and the metal oxide layer. The second buffer layer reacts with oxygen from the first buffer layer more strongly than the first buffer layer reacts with oxygen from the metal oxide layer. A second electrode layer is formed on the electrode buffer stacked layer.

Abstract: A resistive random access memory and a method for fabricating the same are provided. The method includes forming a bottom electrode on a substrate; forming a metal oxide layer on the bottom electrode; forming an oxygen atom gettering layer on the metal oxide layer; forming a first top electrode sub-layer on the oxygen atom gettering layer; forming a second top electrode sub-layer on the first top electrode sub-layer, wherein the first top electrode sub-layer and the second top electrode sub-layer comprise a top electrode; and subjecting the metal oxide layer and the oxygen atom gettering layer to a thermal treatment, driving the oxygen atoms of the metal oxide layer to migrate into and react with the oxygen atom gettering layer, resulting in a plurality of oxygen vacancies within the metal oxide layer.

Abstract: A resistive random access memory and a method for fabricating the same are provided. The method includes providing a structure comprising a substrate, a bottom electrode disposed on the substrate, a metal oxide layer disposed on the bottom electrode, and an oxygen atom gettering layer disposed on the metal oxide layer; and subjecting the structure to a thermal treatment, driving the oxygen atoms of the metal oxide layer to migrate into and react with the oxygen atom gettering layer, resulting in a plurality of oxygen vacancies within the metal oxide layer.

Abstract: A resistive random access memory and a method for fabricating the same are provided. The method includes forming a bottom electrode on a substrate; forming a metal oxide layer on the bottom electrode; forming an oxygen atom gettering layer on the metal oxide layer; forming a first top electrode sub-layer on the oxygen atom gettering layer; forming a second top electrode sub-layer on the first top electrode sub-layer, wherein the first top electrode sub-layer and the second top electrode sub-layer comprise a top electrode; and subjecting the metal oxide layer and the oxygen atom gettering layer to a thermal treatment, driving the oxygen atoms of the metal oxide layer to migrate into and react with the oxygen atom gettering layer, resulting in a plurality of oxygen vacancies within the metal oxide layer.