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Updated: Apr 22, 2026

Negative Additive Manufacturing of Complex Shaped Boron Carbides
Published on: September 18, 2018
Experimental observation of boron nitride chains
Ovidiu Cretu1, Hannu-Pekka Komsa, Ossi Lehtinen
1Nanotube Research Center, National Institute of Advanced Industrial Science and Technology (AIST) , Central 5, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8565, Japan.
We created stable boron nitride atomic chains from hexagonal sheets. Supporting these chains with another boron nitride layer enhances their lifetime and properties, confirming theoretical predictions.
Area of Science:
- Materials Science
- Nanotechnology
- Condensed Matter Physics
Background:
- Hexagonal boron nitride (h-BN) is a 2D material with unique electronic and mechanical properties.
- Atomic chains are fundamental building blocks for novel nanostructures.
- Previous theoretical studies predicted the existence and properties of boron nitride atomic chains.
Purpose of the Study:
- To experimentally form and characterize boron nitride atomic chains.
- To investigate methods for enhancing the stability and lifetime of these chains.
- To determine the mechanical and electronic properties of boron nitride atomic chains.
Main Methods:
- Formation of boron nitride atomic chains using a transmission electron microscope's electron beam.
- Characterization of chain structure and stability.
- First-principles calculations to analyze heteroatomic structure, mechanical, and electronic properties.
Main Results:
- Successful formation and characterization of boron nitride atomic chains.
- Significant improvement in chain stability and lifetime when supported by a boron nitride layer.
- Experimental confirmation of the heteroatomic structure and determination of key properties.
Conclusions:
- Boron nitride atomic chains can be experimentally synthesized and stabilized.
- Supportive layers are crucial for enhancing the practical utility of these chains.
- The findings complete the analogy between boron nitride and carbon polymorphs, validating theoretical predictions.
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