Computational Investigation of Chirality-Based Separation of Carbon Nanotubes Using Tripeptide Library

Isaac Macwan

doi:10.3390/biom13010175

Computational Investigation of Chirality-Based Separation of Carbon Nanotubes Using Tripeptide Library

Fairfield University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Biomolecules
DOIs	https://doi.org/10.3390/biom13010175
State	Published - Jan 13 2023

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Biomedical Engineering and Bioengineering

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10.3390/biom13010175License: Unspecified

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title = "Computational Investigation of Chirality-Based Separation of Carbon Nanotubes Using Tripeptide Library",

author = "Isaac Macwan",

note = "Carbon nanotubes (CNT) have fascinating applications in flexible electronics, biosensors, and energy storage devices, and are classified as metallic or semiconducting based on their chirality. Semiconducting CNTs have been teased as a new material for building blocks in electronic devices, owing to their band gap resembling silicon.",

year = "2023",

month = jan,

day = "13",

doi = "10.3390/biom13010175",

language = "American English",

journal = "Biomolecules",

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T1 - Computational Investigation of Chirality-Based Separation of Carbon Nanotubes Using Tripeptide Library

AU - Macwan, Isaac

N1 - Carbon nanotubes (CNT) have fascinating applications in flexible electronics, biosensors, and energy storage devices, and are classified as metallic or semiconducting based on their chirality. Semiconducting CNTs have been teased as a new material for building blocks in electronic devices, owing to their band gap resembling silicon.

PY - 2023/1/13

Y1 - 2023/1/13

UR - https://www.mdpi.com/2218-273X/13/1/175

U2 - 10.3390/biom13010175

DO - 10.3390/biom13010175

M3 - Article

C2 - 36671560

JO - Biomolecules

JF - Biomolecules

ER -

Computational Investigation of Chirality-Based Separation of Carbon Nanotubes Using Tripeptide Library

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