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Atomic Structure01:33

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Atoms — and the protons, neutrons, and electrons that compose them — are extremely small. For example, a carbon atom weighs less than 2 × 10−23 g. When describing the properties of tiny objects such as atoms, we use appropriately small units of measure, such as the atomic mass unit (amu). The amu was originally defined based on hydrogen, the lightest element, then later in terms of oxygen. Since 1961, it has been defined with regard to the most abundant isotope of carbon, atoms of which...
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An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
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In an atom, the negatively charged electrons are attracted to the positively charged nucleus. In a multielectron atom, electron-electron repulsions are also observed. The attractive and repulsive forces are dependent on the distance between the particles, as well as the sign and magnitude of the charges on the individual particles. When the charges on the particles are opposite, they attract each other. If both particles have the same charge, they repel each other.
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Quantifying atom-scale dopant movement and electrical activation in Si:P monolayers.

Xiqiao Wang1, Joseph A Hagmann, Pradeep Namboodiri

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Advanced techniques precisely pattern phosphorus-doped silicon monolayers for quantum computing. A new method using locking layers controls dopant movement, enabling atomic-scale precision in 2-D superlattices.

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Area of Science:

  • Semiconductor Physics
  • Quantum Computing Materials

Background:

  • Advanced hydrogen lithography enables precise patterning of phosphorus-doped silicon (Si:P) monolayers for quantum computing and 2D superlattices.
  • Challenges include dopant segregation, diffusion, and defect formation during overgrowth, impacting dopant placement accuracy.

Purpose of the Study:

  • Develop a method to monitor and control atomic-scale dopant movement in Si:P monolayers.
  • Investigate the impact of locking layers (LLs) on dopant confinement and electrical activation.

Main Methods:

  • Combined dopant segregation/diffusion models with sputter profiling simulations.
  • Utilized room-temperature grown locking layers (LLs) with varying growth rates and thicknesses.
  • Explored rapid thermal annealing and surface accumulation effects.

Main Results:

  • Increasing LL growth rate is more effective than increasing LL thickness for suppressing dopant movement.
  • Achieved dopant segregation lengths below a single Si lattice constant at room temperature.
  • Demonstrated sharp dopant confinement and high electrical quality using high LL growth rate and low-temperature annealing.

Conclusions:

  • Developed a novel method for atomic-scale dopant movement control in 2D Si:P systems.
  • This technique is crucial for 2D fabrication requiring precise dopant placement.
  • Enables suppression, quantification, and prediction of single dopant movement.