Magnetoresistance is a fascinating phenomenon where a material's electrical resistance changes in response to a magnetic field. This effect arises from various mechanisms, including the , , and changes in electronic band structure.

Understanding magnetoresistance is crucial for developing advanced technologies. From magnetic field sensors to hard drive read heads and next-generation memory devices, this phenomenon has revolutionized data storage and sensing applications in our modern world.

Types of magnetoresistance

  • Magnetoresistance is a phenomenon in which the electrical resistance of a material changes when exposed to an external magnetic field
  • The different types of magnetoresistance arise from various physical mechanisms and exhibit distinct characteristics, making them suitable for a wide range of applications in solid-state physics and electronics

Ordinary magnetoresistance

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  • Occurs in non-magnetic metals and semiconductors due to the Lorentz force acting on charge carriers
  • Resistance increases with increasing magnetic field strength, following a quadratic dependence (ΔR/RB2\Delta R/R \propto B^2)
  • Typically a small effect (less than 1%) at room temperature and low magnetic fields
  • Can be used to study the electronic properties of materials, such as carrier concentration and mobility

Anisotropic magnetoresistance

  • Observed in , where the resistance depends on the relative orientation between the current and the magnetization
  • Originates from the spin-orbit interaction and the anisotropic scattering of electrons
  • Resistance is maximum when the current is parallel to the magnetization and minimum when perpendicular
  • AMR ratios are typically in the range of 1-5% at room temperature
  • Widely used in magnetic field sensors and read heads for hard disk drives

Giant magnetoresistance

  • Discovered in multilayer structures consisting of alternating ferromagnetic and non-magnetic layers
  • Resistance changes significantly (up to 100%) depending on the relative orientation of the magnetizations in the ferromagnetic layers
  • Arises from spin-dependent scattering of electrons at the interfaces and in the bulk of the layers
  • GMR effect is the basis for modern hard disk drive read heads and
  • Awarded the Nobel Prize in Physics in 2007 ( and Peter Grünberg)

Colossal magnetoresistance

  • Found in certain manganese-based perovskite oxides, such as La1xSrxMnO3La_{1-x}Sr_xMnO_3
  • Characterized by an extremely large change in resistance (up to several orders of magnitude) under the application of a magnetic field
  • Occurs near the Curie temperature and is closely related to the metal-insulator transition and the formation of magnetic polarons
  • Potential applications in high-sensitivity magnetic field sensors and novel electronic devices

Tunnel magnetoresistance

  • Observed in magnetic tunnel junctions (MTJs) consisting of two ferromagnetic layers separated by a thin insulating barrier
  • Resistance depends on the relative orientation of the magnetizations in the ferromagnetic layers, similar to GMR
  • Based on spin-dependent tunneling of electrons through the insulating barrier
  • TMR ratios can exceed 200% at room temperature in optimized MTJs
  • Used in magnetic random-access memory (MRAM) and spintronic devices

Physical origins of magnetoresistance

  • The various types of magnetoresistance arise from different physical mechanisms that influence the motion and scattering of charge carriers in the presence of a magnetic field
  • Understanding the underlying physics is crucial for designing materials and devices with enhanced magnetoresistive properties

Lorentz force

  • The fundamental origin of ordinary magnetoresistance in non-magnetic materials
  • A magnetic field B\vec{B} exerts a force F=qv×B\vec{F} = q\vec{v} \times \vec{B} on moving charge carriers, where qq is the charge and v\vec{v} is the velocity
  • Causes charge carriers to follow curved trajectories, increasing their path length and scattering rate
  • Results in a quadratic increase of resistance with magnetic field strength

Spin-dependent scattering

  • The key mechanism behind (GMR) and (AMR)
  • Electrons with different spin orientations (up and down) have different scattering probabilities in ferromagnetic materials
  • In GMR, the resistance is low when the magnetizations of the ferromagnetic layers are parallel (low scattering) and high when they are antiparallel (high scattering)
  • In AMR, the scattering probability depends on the relative orientation between the current and the magnetization

Magnetic field effects on band structure

  • Magnetic fields can modify the electronic band structure of materials, leading to changes in resistance
  • Landau quantization: In strong magnetic fields, the continuous energy bands split into discrete Landau levels, affecting the density of states and transport properties
  • Zeeman splitting: The magnetic field lifts the degeneracy of spin-up and spin-down electrons, creating an imbalance in their populations and scattering rates

Spin-orbit coupling

  • The interaction between an electron's spin and its orbital motion around the nucleus
  • Plays a crucial role in anisotropic magnetoresistance (AMR) and spin Hall effects
  • Induces a spin-dependent scattering potential, leading to different resistivities for different current and magnetization orientations
  • Enables the generation and detection of spin currents in spintronic devices

Factors influencing magnetoresistance

  • The magnitude and behavior of magnetoresistance in materials depend on various intrinsic and extrinsic factors
  • Understanding and controlling these factors is essential for optimizing the performance of magnetoresistive devices

Material properties

  • Composition, crystal structure, and electronic band structure of the material
  • Presence of magnetic elements, such as transition metals (Fe, Co, Ni) or rare-earth elements (Gd, Dy)
  • Quality of interfaces and surfaces in multilayer structures and devices
  • Impurities, defects, and grain boundaries that affect electron scattering

Temperature dependence

  • Magnetoresistance is often strongly temperature-dependent, especially near phase transitions
  • In GMR and TMR, the magnetoresistance ratio typically decreases with increasing temperature due to increased thermal scattering
  • (CMR) is most pronounced near the Curie temperature, where the material undergoes a metal-insulator transition
  • Low temperatures are often required to observe large magnetoresistance effects and to study the underlying physics

Magnetic field strength and orientation

  • The magnitude of magnetoresistance generally increases with increasing magnetic field strength
  • Ordinary magnetoresistance follows a quadratic dependence on field strength, while other types may show saturation or hysteresis
  • The orientation of the magnetic field relative to the current direction and the sample geometry can significantly influence the magnetoresistance
  • Anisotropic magnetoresistance (AMR) and some spintronic devices rely on the control of magnetization orientation

Current density and direction

  • The current density affects the magnitude of magnetoresistance, particularly in devices with nanoscale features
  • High current densities can lead to non-linear effects, such as current-induced magnetization switching or spin-transfer torque
  • The direction of the current relative to the magnetic field and the sample geometry is important for observing certain magnetoresistive effects (AMR, spin Hall effect)

Sample geometry and dimensions

  • The shape and size of the sample can influence the magnetoresistance through demagnetization effects and domain structure
  • Thin films, multilayers, and nanostructures (nanowires, nanopillars) are commonly used to enhance magnetoresistive effects
  • Confinement effects in low-dimensional structures can lead to novel magnetoresistive phenomena, such as ballistic magnetoresistance or Coulomb blockade

Applications of magnetoresistance

  • The unique properties of magnetoresistive materials have led to a wide range of technological applications in sensing, data storage, and information processing
  • Magnetoresistive devices offer high sensitivity, compact size, low power consumption, and compatibility with semiconductor manufacturing processes

Magnetic field sensors

  • Magnetoresistive sensors convert magnetic field changes into electrical resistance changes
  • Used in a variety of applications, such as position sensing, current sensing, and non-destructive testing
  • AMR and GMR sensors are widely employed in automotive, industrial, and consumer electronics
  • Advantages include high sensitivity, wide dynamic range, and ability to detect small magnetic fields

Hard disk drive read heads

  • GMR and TMR-based read heads have revolutionized the data storage industry by enabling high-density magnetic recording
  • The read head senses the magnetic field from the recorded bits on the disk and converts it into electrical signals
  • GMR and TMR allow for smaller bit sizes and higher data densities compared to earlier inductive read head technologies
  • Contributed to the exponential growth of storage capacity in hard disk drives

Magnetoresistive random-access memory (MRAM)

  • A non-volatile memory technology that uses magnetic elements as the information storage medium
  • Each memory cell consists of a magnetic tunnel junction (MTJ) with two ferromagnetic layers separated by a thin insulating barrier
  • The resistance of the MTJ depends on the relative orientation of the magnetizations in the ferromagnetic layers, representing binary states "0" and "1"
  • Advantages include fast read and write speeds, unlimited endurance, and low power consumption
  • Potential applications in embedded systems, aerospace, and automotive industries

Spintronic devices

  • Spintronic devices exploit the spin degree of freedom of electrons in addition to their charge
  • Magnetoresistive effects, such as GMR and TMR, are the foundation of many spintronic devices
  • Spin valves, spin-transfer torque (STT) devices, and spin Hall effect (SHE) devices are examples of spintronic applications
  • Potential for novel functionalities, such as spin-based logic, non-volatile memory, and neuromorphic computing

Magnetic field mapping and imaging

  • Magnetoresistive sensors can be used to map and image magnetic field distributions with high spatial resolution
  • Scanning probe microscopy techniques, such as magnetic force microscopy (MFM) and scanning Hall probe microscopy (SHPM), employ magnetoresistive sensors
  • Applications include characterization of magnetic materials, defect detection, and study of magnetic domains and domain walls
  • Enables the investigation of local magnetic properties at the micro- and nanoscale

Experimental techniques for measuring magnetoresistance

  • Various experimental methods are employed to characterize the magnetoresistive properties of materials and devices
  • These techniques probe the electrical resistance under different magnetic field conditions and provide insights into the underlying physics

Four-point probe method

  • A common technique for measuring the resistivity of materials
  • Four equally spaced probes are placed in contact with the sample surface
  • A current is passed through the outer two probes, while the voltage is measured between the inner two probes
  • Eliminates the influence of contact resistance and allows for accurate resistivity measurements
  • Can be adapted for magnetoresistance measurements by applying an external magnetic field

Van der Pauw technique

  • A versatile method for measuring the resistivity and Hall coefficient of flat, arbitrarily shaped samples
  • Four small contacts are placed on the perimeter of the sample
  • The resistance is measured by passing current through two adjacent contacts and measuring the voltage across the other two contacts
  • Measurements are repeated with different contact configurations to account for sample inhomogeneity
  • Magnetoresistance can be studied by applying a magnetic field perpendicular to the sample plane

Hall effect measurements

  • Provides information about the carrier type, concentration, and mobility in semiconductors and metals
  • A magnetic field is applied perpendicular to the current flow in the sample
  • The Lorentz force deflects the charge carriers, creating a transverse voltage (Hall voltage)
  • The Hall resistance is proportional to the magnetic field strength and the carrier concentration
  • Can be combined with resistivity measurements to determine the magnetoresistance

Magnetotransport in nanostructures

  • Investigating magnetoresistive effects in low-dimensional structures, such as thin films, nanowires, and quantum dots
  • Techniques include four-point probe measurements on patterned nanostructures, and scanning probe methods (MFM, SHPM)
  • Allows for the study of size-dependent and confinement effects on magnetoresistance
  • Nanoscale devices, such as magnetic tunnel junctions and spin valves, are characterized using specialized electrical setups

Low-temperature and high-field measurements

  • Many magnetoresistive phenomena are enhanced at low temperatures and high magnetic fields
  • Cryogenic systems, such as liquid helium (4.2 K) or dilution refrigerators (mK range), are used to reach low temperatures
  • Superconducting magnets or pulsed magnetic fields can generate strong magnetic fields (up to tens of Tesla)
  • Enables the exploration of quantum transport phenomena, phase transitions, and novel magnetoresistive effects

Theoretical models of magnetoresistance

  • Various theoretical frameworks have been developed to describe and predict the magnetoresistive behavior of materials
  • These models provide insights into the physical mechanisms underlying magnetoresistance and guide the design of new materials and devices

Drude model and its limitations

  • A classical model that describes the electrical conductivity of metals based on the motion of free electrons
  • Assumes that electrons move freely between collisions with ions, characterized by a relaxation time τ\tau
  • The conductivity is given by σ=ne2τ/m\sigma = ne^2\tau/m, where nn is the electron density, ee is the electron charge, and mm is the electron mass
  • Predicts a quadratic dependence of resistance on magnetic field strength, consistent with ordinary magnetoresistance
  • Fails to account for the more complex magnetoresistive effects, such as GMR and TMR, which require a quantum mechanical treatment

Two-current model for giant magnetoresistance

  • A phenomenological model that explains the GMR effect in magnetic multilayers
  • Assumes that the electrical conductivity can be described by two parallel currents: one for spin-up electrons and another for spin-down electrons
  • The spin-dependent scattering rates are different in the ferromagnetic and non-magnetic layers
  • The resistance is low when the magnetizations of the ferromagnetic layers are parallel (low scattering) and high when they are antiparallel (high scattering)
  • Provides a simple and intuitive picture of GMR, but does not capture all the details of the electronic structure

Julliere's model for tunnel magnetoresistance

  • A model that describes the TMR effect in magnetic tunnel junctions (MTJs)
  • Assumes that the tunneling conductance depends on the product of the spin polarizations of the two ferromagnetic electrodes
  • The is defined as P=(NN)/(N+N)P = (N_\uparrow - N_\downarrow)/(N_\uparrow + N_\downarrow), where NN_\uparrow and NN_\downarrow are the spin-up and spin-down density of states at the Fermi level
  • The TMR ratio is given by TMR=2P1P2/(1P1P2)TMR = 2P_1P_2/(1-P_1P_2), where P1P_1 and P2P_2 are the spin polarizations of the two ferromagnetic electrodes
  • Provides a simple estimate of TMR based on the spin polarization, but neglects the details of the tunneling process and the electronic structure of the barrier

Spin-polarized transport theories

  • More advanced theoretical frameworks that take into account the spin-dependent electronic structure and transport properties
  • Include the Boltzmann transport equation, the Kubo formula, and the non-equilibrium Green's function (NEGF) formalism
  • Describe spin-polarized currents, spin accumulation, and spin-transfer torques in magnetoresistive devices
  • Account for the influence of interfaces, disorder, and electron-electron interactions on magnetoresistance
  • Provide a more rigorous and comprehensive description of magnetoresistive phenomena

First-principles calculations and simulations

  • Computational methods that predict the electronic structure and transport properties of materials from fundamental principles
  • Based on density functional theory (DFT) and related approaches, which solve the quantum mechanical equations for the electronic structure
  • Can calculate the spin-dependent band structure, density of states, and conductivity of magnetoresistive materials
  • Provide insights into the role of atomic structure, composition, and defects on magnetoresistance
  • Guide the design and optimization of new magnetoresistive materials and devices

Key Terms to Review (32)

Albert Fert: Albert Fert is a French physicist renowned for his groundbreaking work in the field of spintronics, particularly for his discovery of giant magnetoresistance (GMR). His research significantly advanced the understanding of how electron spins can be utilized in technology, leading to developments in data storage and magnetic sensors. Fert's contributions have had a profound impact on modern electronics and paved the way for innovative applications in various industries.
Anisotropic magnetoresistance: Anisotropic magnetoresistance refers to the phenomenon where the electrical resistance of a material changes in response to an external magnetic field, and this change is dependent on the angle between the current direction and the magnetic field direction. This effect is particularly significant in materials with a non-uniform magnetic structure and is utilized in various applications, including magnetic sensors and memory devices.
Band Theory: Band theory is a theoretical model used to describe the electronic structure of solids, where energy levels are grouped into bands that electrons can occupy. It helps explain the electrical, thermal, and optical properties of materials by determining how electrons behave within these bands, particularly in conductors, semiconductors, and insulators.
Colossal magnetoresistance: Colossal magnetoresistance (CMR) is a phenomenon where the electrical resistance of a material dramatically decreases in the presence of a magnetic field, often by several orders of magnitude. This property is primarily observed in certain manganese oxide compounds and has significant implications for magnetic sensor technology and data storage applications.
Data storage devices: Data storage devices are hardware components used to record, store, and retrieve digital information. These devices play a crucial role in the operation of computers and other electronic systems, allowing users to save files, access applications, and manage data efficiently. They come in various forms, including magnetic and solid-state options, with magnetoresistance being a key principle that enhances their functionality.
Drude Model: The Drude Model is a classical theory that describes the electrical and thermal conductivity of metals by treating conduction electrons as a gas of charged particles that move freely through a lattice of fixed, positively charged ions. This model simplifies the complex interactions within metals, providing insights into their conductive properties, but has limitations, especially when it comes to explaining phenomena like magnetoresistance.
Electron transport: Electron transport refers to the movement of electrons through a material or medium, which is a fundamental process in the conduction of electricity and heat in solids. This movement can be influenced by various factors, such as temperature, electric fields, and magnetic fields, affecting the overall conductivity and behavior of materials. Understanding electron transport is crucial in explaining phenomena like resistivity, conductivity, and even magnetoresistance in different materials.
Ferromagnetic materials: Ferromagnetic materials are substances that exhibit strong magnetic properties due to the alignment of their magnetic moments in the same direction, resulting in a net magnetization. This alignment typically occurs even in the absence of an external magnetic field, making these materials capable of becoming permanently magnetized. Their unique characteristics play a vital role in applications such as data storage and electromagnetic devices.
First-principles calculations and simulations: First-principles calculations and simulations refer to computational methods that use fundamental physical principles, such as quantum mechanics, to predict material properties without relying on empirical parameters. These techniques are essential for understanding various phenomena, including electronic structure, magnetoresistance, and phase transitions in materials.
Four-probe measurement: A four-probe measurement is an electrical testing method used to determine the resistivity of a material by utilizing four separate probes that make contact with the sample. This technique minimizes the effects of contact resistance and ensures that the voltage drop across the sample is measured accurately, which is crucial for evaluating materials in the context of magnetoresistance studies.
Giant Magnetoresistance: Giant magnetoresistance (GMR) is a quantum mechanical phenomenon where the electrical resistance of a material changes significantly in the presence of a magnetic field. This effect occurs primarily in multilayered structures made up of alternating ferromagnetic and non-magnetic metals, allowing for substantial changes in resistance that can be utilized in various applications such as data storage and magnetic sensors.
Hall Effect Measurement: Hall effect measurement is a technique used to determine the properties of semiconductor materials by applying a magnetic field perpendicular to the current flow, resulting in a voltage (Hall voltage) across the material. This method provides insights into carrier concentration, mobility, and type of charge carriers in materials like p-n junctions, as well as the behavior of materials under magnetic fields, such as magnetoresistance.
Julliere's Model for Tunnel Magnetoresistance: Julliere's Model for Tunnel Magnetoresistance describes the mechanism behind the magnetoresistance effect observed in ferromagnetic tunnel junctions. The model explains how the resistance of a tunnel junction changes when an external magnetic field is applied, leading to significant changes in electronic transport properties. This phenomenon is crucial in understanding the behavior of spin-polarized electrons in magnetic materials, making it essential in applications like spintronics and magnetic sensors.
Landau Level: A Landau level refers to the quantized energy levels of charged particles, such as electrons, in a uniform magnetic field. These energy levels arise from the quantization of the cyclotron orbits that charged particles experience when subjected to magnetic fields, leading to unique electronic properties in materials. The presence of Landau levels is crucial in understanding phenomena like magnetoresistance, where the electrical resistance of a material changes in response to an applied magnetic field.
Localization effects: Localization effects refer to the phenomenon where the electronic states in a disordered medium become spatially confined, leading to a reduced conductivity. This occurs when the wave functions of electrons become localized due to scattering from impurities or structural imperfections, impacting how electrons move through the material. In the context of magnetoresistance, localization effects can influence how materials respond to magnetic fields, altering their electrical properties significantly.
Lorentz Force: The Lorentz force is the force experienced by a charged particle moving through an electromagnetic field, described mathematically by the equation $$ extbf{F} = q( extbf{E} + extbf{v} imes extbf{B})$$. This force combines both electric and magnetic influences, showing how charged particles are influenced by electric fields ( extbf{E}) and magnetic fields ( extbf{B}), with the particle's velocity ( extbf{v}) affecting its path. Understanding the Lorentz force is crucial for analyzing phenomena like magnetoresistance, where the behavior of charge carriers in materials changes in response to magnetic fields.
Low-temperature and high-field measurements: Low-temperature and high-field measurements refer to experimental techniques used to investigate the properties of materials under extreme conditions, specifically at low temperatures and in strong magnetic fields. These measurements are crucial for studying quantum phenomena, magnetoresistance, and other physical effects that arise in solid-state systems when subjected to such environments.
Magnetic Field Effect: The magnetic field effect refers to the influence that a magnetic field exerts on the electrical properties of materials, particularly the change in resistance observed in certain conductive materials when exposed to a magnetic field. This phenomenon is crucial in understanding various effects, such as magnetoresistance, which describes how the electrical resistance of a material changes in response to an applied magnetic field. These interactions are fundamental in solid state physics and have applications in various technologies, including sensors and memory devices.
Magnetic field effects on band structure: Magnetic field effects on band structure refer to the modifications in the electronic band structure of a material when subjected to an external magnetic field. These changes can influence the energy levels of electrons and the overall conductivity of the material, leading to phenomena such as magnetoresistance, where resistance varies with an applied magnetic field. Understanding these effects is essential for developing magnetic sensors and advanced electronic devices.
Magnetic sensors: Magnetic sensors are devices that detect changes in magnetic fields and convert this information into readable signals or outputs. These sensors can measure the strength, direction, or changes in magnetic fields and have a wide range of applications including navigation, motion detection, and data storage. The operation of magnetic sensors is closely related to the phenomenon of magnetoresistance, where the electrical resistance of a material changes in response to an external magnetic field.
Magnetoresistive random-access memory: Magnetoresistive random-access memory (MRAM) is a type of non-volatile memory that uses the magnetic state of magnetic tunnel junctions to store data. It leverages the phenomenon of magnetoresistance, where the resistance of a material changes in response to an external magnetic field, allowing for the efficient storage and retrieval of information without requiring power to maintain the stored data.
Magnetotransport in nanostructures: Magnetotransport in nanostructures refers to the study of how magnetic fields influence the electrical transport properties in materials with nanoscale dimensions. This phenomenon is particularly significant in understanding how carriers such as electrons behave under the influence of magnetic fields, which can lead to unique transport effects like magnetoresistance. The interplay between quantum effects and magnetic fields in these structures enables applications in advanced electronic devices, including sensors and spintronic devices.
Manganites: Manganites are a class of materials, primarily manganese oxides, that exhibit unique electrical and magnetic properties due to their mixed-valence states and complex crystal structures. These properties make manganites particularly interesting for applications in spintronics and magnetoresistance, where their ability to change resistance in the presence of a magnetic field is crucial for device performance.
Pierre-Gilles de Gennes: Pierre-Gilles de Gennes was a French physicist who made significant contributions to the understanding of liquid crystals and polymers. His work laid the foundation for the study of magnetoresistance by exploring how materials respond to magnetic fields, particularly in the context of charge carriers and their behavior in solids.
Scattering mechanisms: Scattering mechanisms refer to the various processes that affect the motion of charge carriers in a solid material, leading to a change in their momentum and energy. These mechanisms can significantly impact the electrical properties of materials, such as conductivity and mobility, which are essential for understanding phenomena like magnetoresistance and the behavior of carriers under different conditions.
Spin polarization: Spin polarization refers to the unequal distribution of spin-up and spin-down electrons in a material, resulting in a net magnetic moment. This phenomenon is crucial in understanding the magnetic properties of materials, especially in the context of magnetoresistance where the electrical resistance of a material changes in response to an external magnetic field due to the alignment of electron spins.
Spin-dependent scattering: Spin-dependent scattering refers to the phenomenon where the probability of scattering of charge carriers in a material varies based on their spin orientation. This property is crucial in understanding how materials respond to magnetic fields, as it directly influences electronic transport and can lead to effects such as magnetoresistance, where the resistance of a material changes in the presence of a magnetic field.
Spin-orbit coupling: Spin-orbit coupling is an interaction between the intrinsic spin of particles, such as electrons, and their motion through an electric field, leading to a coupling between the particle's spin and its orbital angular momentum. This phenomenon is crucial in determining the electronic properties of materials, particularly in relation to phenomena like magnetoresistance, where the electron's spin states can influence the material's conductivity in the presence of a magnetic field.
Spin-polarized transport theories: Spin-polarized transport theories are frameworks that describe how the spin of electrons affects their movement through materials, particularly in magnetic and semiconducting systems. This concept is essential for understanding phenomena such as magnetoresistance, where the electrical resistance of a material changes in the presence of a magnetic field, due to the spin-dependent scattering processes. These theories help in analyzing how the alignment of electron spins influences electronic properties and transport behaviors, paving the way for advancements in spintronic devices.
Spintronic effects: Spintronic effects refer to phenomena that exploit the intrinsic spin of electrons, along with their charge, to develop new types of electronic devices. This technology leverages the manipulation of electron spins to create devices with enhanced functionalities, such as increased speed and reduced power consumption. Spintronic effects have significant implications for memory storage and processing technologies, allowing for data to be stored in a more efficient manner than traditional electronic devices.
Tunnel Magnetoresistance: Tunnel magnetoresistance (TMR) is a quantum mechanical phenomenon where the electrical resistance of a magnetic tunnel junction varies depending on the relative alignment of the magnetization in its ferromagnetic layers. This effect results from the tunneling of electrons through an insulating barrier, leading to enhanced spin-polarized currents when the magnetizations are parallel compared to when they are antiparallel. TMR is crucial in the design of spintronic devices, as it enables information storage and processing at a much higher efficiency than traditional electronics.
Two-current model for giant magnetoresistance: The two-current model for giant magnetoresistance (GMR) is a theoretical framework that explains the significant change in electrical resistance observed in magnetic materials when an external magnetic field is applied. This model posits that electrical conduction occurs through two distinct types of carriers—spin-up and spin-down electrons—where their interactions with localized magnetic moments influence the overall resistance. The difference in scattering rates between these two types of carriers in different magnetic configurations leads to the phenomenon of GMR.
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