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

Alireza Baghban

Showing results (1-10 of 24) with videos related to

Pageof 3
Sort By:
Scientific Reports|July 8, 2025
Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniquesRaouf Hassan, Alireza Baghban
Scientific Reports|May 27, 2020
Insight into the antiviral activity of synthesized schizonepetin derivatives: A theoretical investigationAlireza Baghban, Amir Mosavi
Scientific Reports|January 28, 2024
Insights into the prediction of the liquid density of refrigerant systems by artificial intelligent approachesHuaguang Li, Alireza Baghban
RSC Advances|November 26, 2025
Correction to Retracted Article: Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solventsIman Salahshoori, Alireza Baghban
Scientific Reports|April 15, 2024
Machine learning-powered estimation of malachite green photocatalytic degradation with NML-BiFeO<sub>3</sub> compositesIman Salahshoori, Amirhosein Yazdanbakhsh, Alireza Baghban
Scientific Reports|February 12, 2025
Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO<sub>2</sub>Zahra Bahrami, Fatemeh Bashipour, Alireza Baghban
RSC Advances|July 1, 2024
Retraction: Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solventsIman Salahshoori, Alireza Baghban, Amirhosein Yazdanbakhsh
RSC Advances|October 16, 2023
Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solventsIman Salahshoori, Alireza Baghban, Amirhosein Yazdanbakhsh
RSC Advances|May 6, 2022
Bandgaps of noble and transition metal/ZIF-8 electro/catalysts: a computational studyAlireza Baghban, Sajjad Habibzadeh, Farzin Zokaee Ashtiani
Scientific Reports|May 24, 2023
New insights into the hydrogen evolution reaction using Ni-ZIF8/67-derived electrocatalystsAlireza Baghban, Sajjad Habibzadeh, Farzin Zokaee Ashtiani
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Scientific Reports|July 8, 2025
Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniquesRaouf Hassan, Alireza Baghban
Scientific Reports|May 27, 2020
Insight into the antiviral activity of synthesized schizonepetin derivatives: A theoretical investigationAlireza Baghban, Amir Mosavi
Scientific Reports|January 28, 2024
Insights into the prediction of the liquid density of refrigerant systems by artificial intelligent approachesHuaguang Li, Alireza Baghban
RSC Advances|November 26, 2025
Correction to Retracted Article: Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solventsIman Salahshoori, Alireza Baghban
Scientific Reports|April 15, 2024
Machine learning-powered estimation of malachite green photocatalytic degradation with NML-BiFeO<sub>3</sub> compositesIman Salahshoori, Amirhosein Yazdanbakhsh, Alireza Baghban
Scientific Reports|February 12, 2025
Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO<sub>2</sub>Zahra Bahrami, Fatemeh Bashipour, Alireza Baghban
RSC Advances|July 1, 2024
Retraction: Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solventsIman Salahshoori, Alireza Baghban, Amirhosein Yazdanbakhsh
RSC Advances|October 16, 2023
Novel hybrid QSPR-GPR approach for modeling of carbon dioxide capture using deep eutectic solventsIman Salahshoori, Alireza Baghban, Amirhosein Yazdanbakhsh
RSC Advances|May 6, 2022
Bandgaps of noble and transition metal/ZIF-8 electro/catalysts: a computational studyAlireza Baghban, Sajjad Habibzadeh, Farzin Zokaee Ashtiani
Scientific Reports|May 24, 2023
New insights into the hydrogen evolution reaction using Ni-ZIF8/67-derived electrocatalystsAlireza Baghban, Sajjad Habibzadeh, Farzin Zokaee Ashtiani
Pageof 3