<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Okello OFN</submitter><funding>Institute for Basic Science</funding><funding>Korea Basic Science Institute</funding><funding>Ministry of Science and ICT, South Korea</funding><pagination>6927-6935</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10919086</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>18(9)</volume><pubmed_abstract>Point defects dictate various physical, chemical, and optoelectronic properties of two-dimensional (2D) materials, and therefore, a rudimentary understanding of the formation and spatial distribution of point defects is a key to advancement in 2D material-based nanotechnology. In this work, we performed the demonstration to directly probe the point defects in 2H-MoTe&lt;sub>2&lt;/sub> monolayers that are tactically exposed to (i) 200 °C-vacuum-annealing and (ii) 532 nm-laser-illumination; and accordingly, we utilize a deep learning algorithm to classify and quantify the generated point defects. We discovered that tellurium-related defects are mainly generated in both 2H-MoTe&lt;sub>2&lt;/sub> samples; but interestingly, 200 °C-vacuum-annealing and 532 nm-laser-illumination modulate a strong n-type and strong p-type 2H-MoTe&lt;sub>2,&lt;/sub> respectively. While 200 °C-vacuum-annealing generates tellurium vacancies or tellurium adatoms, 532 nm-laser-illumination prompts oxygen atoms to be adsorbed/chemisorbed at tellurium vacancies, giving rise to the p-type characteristic. This work significantly advances the current understanding of point defect engineering in 2H-MoTe&lt;sub>2&lt;/sub> monolayers and other 2D materials, which is critical for developing nanoscale devices with desired functionality.</pubmed_abstract><journal>ACS nano</journal><pubmed_title>Atomistic Probing of Defect-Engineered 2H-MoTe&lt;sub>2&lt;/sub> Monolayers.</pubmed_title><pmcid>PMC10919086</pmcid><funding_grant_id>IBS-R034-D1</funding_grant_id><funding_grant_id>2022R1A2C2091160</funding_grant_id><funding_grant_id>2020R1A6C101A202 and 2021R1A6C103B434</funding_grant_id><pubmed_authors>Choi SY</pubmed_authors><pubmed_authors>Shin D</pubmed_authors><pubmed_authors>Jo MH</pubmed_authors><pubmed_authors>Park J</pubmed_authors><pubmed_authors>Chu YS</pubmed_authors><pubmed_authors>Mizoguchi T</pubmed_authors><pubmed_authors>Yang DH</pubmed_authors><pubmed_authors>Seo SY</pubmed_authors><pubmed_authors>Moon G</pubmed_authors><pubmed_authors>Yang S</pubmed_authors><pubmed_authors>Okello OFN</pubmed_authors></additional><is_claimable>false</is_claimable><name>Atomistic Probing of Defect-Engineered 2H-MoTe&lt;sub>2&lt;/sub> Monolayers.</name><description>Point defects dictate various physical, chemical, and optoelectronic properties of two-dimensional (2D) materials, and therefore, a rudimentary understanding of the formation and spatial distribution of point defects is a key to advancement in 2D material-based nanotechnology. In this work, we performed the demonstration to directly probe the point defects in 2H-MoTe&lt;sub>2&lt;/sub> monolayers that are tactically exposed to (i) 200 °C-vacuum-annealing and (ii) 532 nm-laser-illumination; and accordingly, we utilize a deep learning algorithm to classify and quantify the generated point defects. We discovered that tellurium-related defects are mainly generated in both 2H-MoTe&lt;sub>2&lt;/sub> samples; but interestingly, 200 °C-vacuum-annealing and 532 nm-laser-illumination modulate a strong n-type and strong p-type 2H-MoTe&lt;sub>2,&lt;/sub> respectively. While 200 °C-vacuum-annealing generates tellurium vacancies or tellurium adatoms, 532 nm-laser-illumination prompts oxygen atoms to be adsorbed/chemisorbed at tellurium vacancies, giving rise to the p-type characteristic. This work significantly advances the current understanding of point defect engineering in 2H-MoTe&lt;sub>2&lt;/sub> monolayers and other 2D materials, which is critical for developing nanoscale devices with desired functionality.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2025-04-04T12:34:48.647Z</modification><creation>2025-04-04T12:34:48.647Z</creation></dates><accession>S-EPMC10919086</accession><cross_references><pubmed>38374663</pubmed><doi>10.1021/acsnano.3c08606</doi></cross_references></HashMap>