Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ha H. Park"'
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-8 (2023)
A machine-learning-enabled approach, pixels-to-diffusivity (Pix2D), directly extracts the diffusion coefficient D from single molecule images and enables super-resolved D spatial mapping.
Externí odkaz:
https://doaj.org/article/7910ea889c3840d3af0e9ac24641f051
Size-Dependent Suppression of Molecular Diffusivity in Expandable Hydrogels: A Single-Molecule Study
Publikováno v:
The Journal of Physical Chemistry B. 127:3333-3339
Publikováno v:
J Am Chem Soc
Recent studies have sparked heated debate over whether catalytical reactions would enhance the diffusion coefficients D of enzymes. Through high statistics of the transient (600 μs) displacements of unhindered single molecules freely diffusing in co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83cb049fa267c158dd44fb8f2c49b175
https://europepmc.org/articles/PMC8975259/
https://europepmc.org/articles/PMC8975259/
Publikováno v:
Accounts of Chemical Research. 52:2793-2805
Plasmonic nanoparticles are widely exploited in diverse bioapplications ranging from therapeutics to biosensing and biocomputing because of their strong and tunable light-matter interactions, facile and versatile chemical/biological ligand modificati
Autor:
Jinyoung Seo, Ji-Eun Kim, Jwa-Min Nam, Ha H. Park, Jeong-Eun Park, Sungi Kim, Seungsang Cha, Namjun Kim, Eun-Ho Song, So Young Choi
Publikováno v:
Science Advances
The nanoparticle-based von Neumann architecture is constructed on a lipid chip to execute nanoparticle neural networks with DNA.
The lack of a scalable nanoparticle-based computing architecture severely limits the potential and use of nanopartic
The lack of a scalable nanoparticle-based computing architecture severely limits the potential and use of nanopartic
Publikováno v:
Science Advances
A supported lipid bilayer is used as a chemical circuit board to carry out molecular computation with a network of nanoparticles.
Using nanoparticles as substrates for computation enables algorithmic and autonomous controls of their unique and b
Using nanoparticles as substrates for computation enables algorithmic and autonomous controls of their unique and b
Publikováno v:
Small. 15:1900998
Biocomputation is the algorithmic manipulation of biomolecules. Nanostructures, most notably DNA nanostructures and nanoparticles, become active substrates for biocomputation when modified with stimuli-responsive, programmable biomolecular ligands. T
Autor:
Sungi Kim1, Namjun Kim1, Jinyoung Seo1, Park, Jeong-Eun1, Eun Ho Song1, So Young Choi1, Ji Eun Kim1, Seungsang Cha1, Ha H. Park1, Jwa-Min Nam1 jmnam@snu.ac.kr
Publikováno v:
Science Advances. 8/26/2020, Vol. 6 Issue 35, p1-8. 8p.