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S Shahab

Showing results (1-10 of 33) with videos related to

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Physical Chemistry Chemical Physics : PCCP|June 20, 2022
Highly efficient metalloporphyrin-based nanosensors for NO detectionAzar Ostovan, S Shahab Naghavi
Scientific Reports|December 4, 2025
Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity predictionMilad Rayka, S Shahab Naghavi
ACS Applied Materials & Interfaces|March 18, 2021
Sulfide Perovskites for ThermoelectricityHatef Shahmohamadi, S Shahab Naghavi
BMC Bioinformatics|April 23, 2026
Reindeer: a protein-ligand feature generator software for machine learning algorithmsMilad Rayka, S Shahab Naghavi
Chemical Science|May 17, 2017
Prediction of superconducting iron-bismuth intermetallic compounds at high pressureMaximilian Amsler, S Shahab Naghavi, Chris Wolverton
ACS Applied Materials & Interfaces|April 23, 2020
CeTi<sub>2</sub>O<sub>6</sub>-A Promising Oxide for Solar Thermochemical Hydrogen ProductionS Shahab Naghavi, Jiangang He, C Wolverton
The Journal of Physical Chemistry. A|June 21, 2018
Designing Push-Pull Porphyrins for Efficient Dye-Sensitized Solar CellsZ Parsa, S Shahab Naghavi, N Safari
Physical Chemistry Chemical Physics : PCCP|November 5, 2025
Morphology and porosity engineering enhance the photocatalytic activity of mesoporous CeTi<sub>2</sub>O<sub>6</sub>Hamidreza Golriz, Mahboubeh Tasviri, S Shahab Naghavi
Journal of Physics. Condensed Matter : an Institute of Physics Journal|May 5, 2011
The role of correlations in the high-pressure phase of FeSeS Shahab Naghavi, Stanislav Chadov, Claudia Felser
Electromyography and Clinical Neurophysiology|May 8, 2007
Numerical correlation between nerve conduction velocity and compound nerve action potential of median nerve in patients with carpal tunnel syndrome and normal groupM J Shoushtari, A Shokri, S Shahab
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Physical Chemistry Chemical Physics : PCCP|June 20, 2022
Highly efficient metalloporphyrin-based nanosensors for NO detectionAzar Ostovan, S Shahab Naghavi
Scientific Reports|December 4, 2025
Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity predictionMilad Rayka, S Shahab Naghavi
ACS Applied Materials & Interfaces|March 18, 2021
Sulfide Perovskites for ThermoelectricityHatef Shahmohamadi, S Shahab Naghavi
BMC Bioinformatics|April 23, 2026
Reindeer: a protein-ligand feature generator software for machine learning algorithmsMilad Rayka, S Shahab Naghavi
Chemical Science|May 17, 2017
Prediction of superconducting iron-bismuth intermetallic compounds at high pressureMaximilian Amsler, S Shahab Naghavi, Chris Wolverton
ACS Applied Materials & Interfaces|April 23, 2020
CeTi<sub>2</sub>O<sub>6</sub>-A Promising Oxide for Solar Thermochemical Hydrogen ProductionS Shahab Naghavi, Jiangang He, C Wolverton
The Journal of Physical Chemistry. A|June 21, 2018
Designing Push-Pull Porphyrins for Efficient Dye-Sensitized Solar CellsZ Parsa, S Shahab Naghavi, N Safari
Physical Chemistry Chemical Physics : PCCP|November 5, 2025
Morphology and porosity engineering enhance the photocatalytic activity of mesoporous CeTi<sub>2</sub>O<sub>6</sub>Hamidreza Golriz, Mahboubeh Tasviri, S Shahab Naghavi
Journal of Physics. Condensed Matter : an Institute of Physics Journal|May 5, 2011
The role of correlations in the high-pressure phase of FeSeS Shahab Naghavi, Stanislav Chadov, Claudia Felser
Electromyography and Clinical Neurophysiology|May 8, 2007
Numerical correlation between nerve conduction velocity and compound nerve action potential of median nerve in patients with carpal tunnel syndrome and normal groupM J Shoushtari, A Shokri, S Shahab
Pageof 4