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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Updated: Jul 9, 2025

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
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High-throughput ab initio design of atomic interfaces using InterMatch.

Eli Gerber1, Steven B Torrisi2,3, Sara Shabani4

  • 1School of Applied and Engineering Physics, Cornell University, Ithaca, NY, 14853, USA. eg587@cornell.edu.

Nature Communications
|December 1, 2023
PubMed
Summary
This summary is machine-generated.

InterMatch is a new computational framework that efficiently predicts interface properties, accelerating materials design. This high-throughput approach leverages existing material databases to guide the discovery of novel interfaces.

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Condensed Matter Physics

Background:

  • Hetero-interface formation is a key materials design strategy with vast potential.
  • Optimizing interface properties requires efficient, high-throughput methods due to the large design space.

Purpose of the Study:

  • Introduce InterMatch, a high-throughput computational framework for predicting interfacial properties.
  • Demonstrate InterMatch's capability in predicting charge transfer, strain, and superlattice structure.
  • Accelerate the design and discovery of novel material interfaces.

Main Methods:

  • Develop a computational framework, InterMatch, that utilizes bulk material properties from databases (e.g., Materials Project).
  • Input parameters include lattice vectors, density of states, and stiffness tensors.
  • Estimate interfacial properties (charge transfer, strain, superlattice structure) from bulk data.

Main Results:

  • Benchmark InterMatch predictions against experimental data and density-functional theory calculations for charge transfer.
  • Successfully predict promising interface candidates for doping transition metal dichalcogenide MoSe2.
  • Explain experimental variations in supercell periodicity for graphene/α-RuCl3 by exploring low-energy superlattices.

Conclusions:

  • InterMatch provides an efficient and accurate method for predicting interfacial properties.
  • The open-source framework accelerates materials design and discovery efforts.
  • An accessible online database of interface properties is now available.