Mona Amrihesari - JoVE Visualize

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Policies

Filters

Mona Amrihesari

Showing results (1-10 of 3) with videos related to

Pageof 1

Sort By:

Journal of Chemical Education|September 15, 2025

Introducing Data-Driven Materials Informatics into Undergraduate Courses through a Polymer Science WorkshopMona Amrihesari, Blair Brettmann

Macromolecular Rapid Communications|July 28, 2025

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer SolubilityMona Amrihesari, Manali Banerjee, Raul Olmedo, et al.

The Journal of Physical Chemistry. B|December 12, 2024

Machine Learning Models for Predicting Polymer Solubility in Solvents across Concentrations and TemperaturesMona Amrihesari, Joseph Kern, Hilary Present, et al.

Pageof 1

Search research articles

Showing results (1-10 of 3) with videos related to

Sort By:

Pageof 1

Journal of Chemical Education|September 15, 2025

Introducing Data-Driven Materials Informatics into Undergraduate Courses through a Polymer Science WorkshopMona Amrihesari, Blair Brettmann

Macromolecular Rapid Communications|July 28, 2025

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer SolubilityMona Amrihesari, Manali Banerjee, Raul Olmedo, et al.

The Journal of Physical Chemistry. B|December 12, 2024

Machine Learning Models for Predicting Polymer Solubility in Solvents across Concentrations and TemperaturesMona Amrihesari, Joseph Kern, Hilary Present, et al.

Pageof 1