Abstract:
Disclosed is a magnetic parameter value estimation method using deep learning, the magnetic parameter value estimation method including creating a simulated magnetic domain image corresponding to a spin configuration of a two-dimensional magnetic system created through computer simulation, modeling a deep neural network using the simulated magnetic domain image, and estimating a magnetic parameter value of an observed magnetic domain image using the modeled deep neural network.
Abstract:
A complementary device including a gate electrode, a channel, a source electrode connected to the gate electrode and the channel, and a first drain electrode and a second drain electrode connected to the gate electrode and the channel is provided. The first/second drain electrode is formed so that, in accordance with a voltage applied to the gate electrode, electron spins injected into the source electrode are moved from the source electrode to the first/second drain electrode through the channel while rotating in a first/second direction. Directions of the electron spins that reach the first drain electrode and the second drain electrode are opposite to each other.
Abstract:
Disclosed is a magnetic parameter value estimation method using deep learning, the magnetic parameter value estimation method including creating a simulated magnetic domain image corresponding to a spin configuration of a two-dimensional magnetic system created through computer simulation, modeling a deep neural network using the simulated magnetic domain image, and estimating a magnetic parameter value of an observed magnetic domain image using the modeled deep neural network.
Abstract:
Proposed is a magnetoresistance device, including a first layered magnetic material layer in which a magnetization direction is controlled depending on the voltage, a second layered magnetic material layer in which a magnetization direction is fixed in a predetermined direction, and a layered insulator layer interposed between the first and second layered magnetic material layers.
Abstract:
Disclosed is an electric field-controlled magnetoresistive random-access memory (MRAM) including memory cells. The memory cell has a heterogenous double tunnel junction structure including a first tunnel junction and a second tunnel junction. The first tunnel junction includes a magnetic tunnel junction layer having a magnetization direction that changes according to spin transfer torque when an external voltage is applied, and the second tunnel junction includes an electric-field control layer that controls an electric field applied to the magnetic tunnel junction layer to induce a change in magnetic anisotropy within the magnetic tunnel junction layer. The heterogeneous tunnel junction structure combines electric field-controlled magnetic anisotropy and spin transfer torque to enable low power driving of memory cells, thereby enabling a high energy-efficient electric field-controlled MRAM.
Abstract:
Proposed is a magnetoresistance device, including a first layered magnetic material layer in which a magnetization direction is controlled depending on the voltage, a second layered magnetic material layer in which a magnetization direction is fixed in a predetermined direction, and a layered insulator layer interposed between the first and second layered magnetic material layers.