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| Silicon (111) | |
|---|---|
| Name | Silicon (111) |
| Crystal system | Cubic (diamond) |
| Cleavage plane | (111) |
| Lattice constant | 5.431 Å |
| Common reconstructions | 7×7, 2×1, 1×1, 5×5 |
| Surface energy | variable |
| Typical uses | Epitaxy, surface science, semiconductor devices |
Silicon (111) Silicon (111) denotes the atomically oriented surface of crystalline Silicon cut along the (111) plane of the diamond cubic lattice. It serves as a canonical substrate in studies by groups at Bell Labs, IBM, Intel, Stanford University, and MIT and underpins device fabrication at Toshiba, Samsung Electronics, TSMC, and Applied Materials. Experimental work by researchers linked to IBM Research, Lawrence Berkeley National Laboratory, Max Planck Society, National Institute of Standards and Technology, and Riken has established the surface as a model system for surface science, catalysis, and quantum device platforms.
The (111) orientation corresponds to the densest-packed plane in the diamond cubic lattice of Silicon, analogous to the close-packed faces studied in Metallurgy, Crystallography, and experiments at CERN and SLAC National Accelerator Laboratory. Historically, investigations trace to seminal work at Bell Labs and the University of Cambridge and continue in laboratories such as University of California, Berkeley and California Institute of Technology. Silicon (111) is central to processes developed by Texas Instruments, HP, Sony, and Fujitsu for epitaxy, thin films, and surface functionalization.
The bulk lattice is the diamond cubic structure characterized in classical studies at Max Planck Institute for Metals Research and described in textbooks by authors affiliated with Oxford University Press and Cambridge University Press. The (111) plane slices through tetrahedrally coordinated atoms, producing a surface with one dangling bond per surface atom in the unreconstructed termination studied at Argonne National Laboratory and Oak Ridge National Laboratory. Orientation control is routinely achieved by wafers supplied by SUMCO, Shin-Etsu Handotai, and Siltronic, with miscut angles characterized by diffraction at facilities like Brookhaven National Laboratory and Neutron Scattering Centers. Cleavage along (111) exposes triangular terraces and step edges that are central to work by groups at Georgia Tech and Princeton University.
Surface reconstructions on (111) were elucidated by techniques used at IBM Research and Lawrence Berkeley National Laboratory revealing the famous 7×7 reconstruction first characterized by researchers associated with University of California, Santa Barbara and Stanford University. Competing reconstructions include 2×1, 5×5, and 1×1 terminations, with adsorbate-induced patterns observed in studies involving Gold, Silver, Copper, Aluminum, Lead, and Germanium. Surface science investigations by teams at University of Illinois at Urbana-Champaign and ETH Zurich have probed vacancy, adatom, and dimer motifs; complementary imaging by groups at Ecole Polytechnique Fédérale de Lausanne and National University of Singapore maps domain boundaries and stacking faults.
Electronic structure measurements have been performed at synchrotrons such as SLAC, Diamond Light Source, European Synchrotron Radiation Facility, and Advanced Light Source, and interpreted using methods developed at Los Alamos National Laboratory and Princeton Plasma Physics Laboratory. The reconstructed surfaces host surface states within the bulk band gap measured by angle-resolved photoemission spectroscopy in experiments by University of Tokyo and Tohoku University. Scanning tunneling spectroscopy performed at IBM Zurich Research Lab and Forschungszentrum Jülich reveals localized states tied to adatoms, rest atoms, and stacking faults; spin-resolved studies at Harvard University and University of Cambridge investigate Rashba-like effects with relevance to work by Microsoft Research on spintronics.
Preparation protocols employ chemical cleaning procedures established in literature from Bell Labs and NIST using RCA cleans pioneered by researchers at Fairchild Semiconductor and high-temperature annealing in ultrahigh vacuum chambers supplied by Kurt J. Lesker Company and Veeco Instruments. Characterization relies on instruments and methods developed at IBM, Hitachi, JEOL, and FEI Company—notably scanning tunneling microscopy, low-energy electron diffraction, reflection high-energy electron diffraction, and X-ray photoelectron spectroscopy as used by teams at Rice University and Northwestern University. Molecular beam epitaxy and chemical vapor deposition studies at Cornell University and University of Pennsylvania control overlayer growth, while secondary ion mass spectrometry at National Physical Laboratory and Fraunhofer Society quantifies dopants and contaminants.
Silicon (111) surfaces enable epitaxial growth of Gallium arsenide, Germanium, Graphene, Silicene, Boron nitride, and Transition metal dichalcogenides in efforts by IMEC, CERN, NVIDIA, and Broadcom. The orientation is used for gate stacks and quantum dot arrays in work by Delft University of Technology and University of New South Wales, and for single-atom device fabrication in projects at University of Maryland and Keio University. Surface functionalization strategies explored at EPFL and Weizmann Institute of Science target sensors, catalysis, and molecular electronics with industrial uptake by BASF and 3M.
First-principles density functional theory simulations of Si(111) have been performed using codes developed at Princeton University, University of Cambridge, and Tsinghua University, with large-scale modeling implemented on supercomputers at Oak Ridge National Laboratory, Lawrence Livermore National Laboratory, and National Center for Supercomputing Applications. Tight-binding and Green's function approaches from groups at Columbia University and University of Chicago complement many-body calculations by researchers associated with Max Planck Institute for the Physics of Complex Systems. Machine-learning potentials trained by teams at DeepMind and Google Research are increasingly applied to simulate reconstructions, diffusion, and defect formation.
Category:Silicon surfaces