Your browser doesn't support javascript.
loading
Construction and Configuration Analysis of Zelkova Serrata Lenticel-Like Patterns Generated through DNA Algorithmic Self-Assembly.
Park, Suyoun; Tandon, Anshula; Raza, Muhammad Tayyab; Lee, Sungjin; Nguyen, Thi Bich Ngoc; Vu, Thi Hong Nhung; Ha, Tai Hwan; Park, Sung Ha.
Affiliation
  • Park S; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
  • Tandon A; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
  • Raza MT; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
  • Lee S; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
  • Nguyen TBN; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
  • Vu THN; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
  • Ha TH; Core Facility Management Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Korea.
  • Park SH; Department of Physics, Institute of Basic Science, and Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
ACS Appl Bio Mater ; 5(1): 97-104, 2022 01 17.
Article de En | MEDLINE | ID: mdl-35014830

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: ADN / Ulmaceae Type d'étude: Prognostic_studies Langue: En Journal: ACS Appl Bio Mater Année: 2022 Type de document: Article Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: ADN / Ulmaceae Type d'étude: Prognostic_studies Langue: En Journal: ACS Appl Bio Mater Année: 2022 Type de document: Article Pays de publication: États-Unis d'Amérique