Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nathan A Mahynski

Showing results (21-30 of 43) with videos related to

Pageof 5
Sort By:
The Journal of Chemical Physics|September 22, 2022
Derivable genetic programming for two-dimensional colloidal materialsNathan A Mahynski, Bliss Han, Daniel Markiewitz, et al.
Nature Communications|May 4, 2019
Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assemblyNathan A Mahynski, Evan Pretti, Vincent K Shen, et al.
G.I.T. Laboratory Journal Europe|May 14, 2019
Void-Based Assembly of Colloidal Crystals: Using Structure-Directing Agents to Direct the Assembly of Open Colloidal CrystalsNathan A Mahynski, Lorenzo Rovigatti, Christos N Likos, et al.
Food Chemistry|May 9, 2025
Comparing machine learning models to chemometric ones to detect food fraud: A case study in Slovenian fruits and vegetablesNathan A Mahynski, Lidija Strojnik, Vincent K Shen, et al.
The Journal of Physical Chemistry. A|March 17, 2020
Symmetry-Based Crystal Structure Enumeration in Two DimensionsEvan Pretti, Vincent K Shen, Jeetain Mittal, et al.
ACS Nano|April 29, 2016
Bottom-Up Colloidal Crystal Assembly with a TwistNathan A Mahynski, Lorenzo Rovigatti, Christos N Likos, et al.
The Journal of Chemical Physics|March 11, 2014
Flow-induced demixing of polymer-colloid mixtures in microfluidic channelsArash Nikoubashman, Nathan A Mahynski, Amir H Pirayandeh, et al.
The Journal of Chemical Physics|February 24, 2017
Predicting low-temperature free energy landscapes with flat-histogram Monte Carlo methodsNathan A Mahynski, Marco A Blanco, Jeffrey R Errington, et al.
Soft Matter|March 6, 2020
Grand canonical inverse design of multicomponent colloidal crystalsNathan A Mahynski, Runfang Mao, Evan Pretti, et al.
Environmental Science & Technology|October 5, 2022
Building Interpretable Machine Learning Models to Identify Chemometric Trends in Seabirds of the North Pacific OceanNathan A Mahynski, Jared M Ragland, Stacy S Schuur, et al.
Pageof 5

Showing results (21-30 of 43) with videos related to

Sort By:
Pageof 5
The Journal of Chemical Physics|September 22, 2022
Derivable genetic programming for two-dimensional colloidal materialsNathan A Mahynski, Bliss Han, Daniel Markiewitz, et al.
Nature Communications|May 4, 2019
Using symmetry to elucidate the importance of stoichiometry in colloidal crystal assemblyNathan A Mahynski, Evan Pretti, Vincent K Shen, et al.
G.I.T. Laboratory Journal Europe|May 14, 2019
Void-Based Assembly of Colloidal Crystals: Using Structure-Directing Agents to Direct the Assembly of Open Colloidal CrystalsNathan A Mahynski, Lorenzo Rovigatti, Christos N Likos, et al.
Food Chemistry|May 9, 2025
Comparing machine learning models to chemometric ones to detect food fraud: A case study in Slovenian fruits and vegetablesNathan A Mahynski, Lidija Strojnik, Vincent K Shen, et al.
The Journal of Physical Chemistry. A|March 17, 2020
Symmetry-Based Crystal Structure Enumeration in Two DimensionsEvan Pretti, Vincent K Shen, Jeetain Mittal, et al.
ACS Nano|April 29, 2016
Bottom-Up Colloidal Crystal Assembly with a TwistNathan A Mahynski, Lorenzo Rovigatti, Christos N Likos, et al.
The Journal of Chemical Physics|March 11, 2014
Flow-induced demixing of polymer-colloid mixtures in microfluidic channelsArash Nikoubashman, Nathan A Mahynski, Amir H Pirayandeh, et al.
The Journal of Chemical Physics|February 24, 2017
Predicting low-temperature free energy landscapes with flat-histogram Monte Carlo methodsNathan A Mahynski, Marco A Blanco, Jeffrey R Errington, et al.
Soft Matter|March 6, 2020
Grand canonical inverse design of multicomponent colloidal crystalsNathan A Mahynski, Runfang Mao, Evan Pretti, et al.
Environmental Science & Technology|October 5, 2022
Building Interpretable Machine Learning Models to Identify Chemometric Trends in Seabirds of the North Pacific OceanNathan A Mahynski, Jared M Ragland, Stacy S Schuur, et al.
Pageof 5