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The Journal of Physical Chemistry. A|June 21, 2018
Designing Push-Pull Porphyrins for Efficient Dye-Sensitized Solar CellsZ Parsa, S Shahab Naghavi, N SafariACS Applied Materials & Interfaces|March 18, 2021
Sulfide Perovskites for ThermoelectricityHatef Shahmohamadi, S Shahab NaghaviPhysical Chemistry Chemical Physics : PCCP|June 20, 2022
Highly efficient metalloporphyrin-based nanosensors for NO detectionAzar Ostovan, S Shahab NaghaviScientific Reports|December 4, 2025
Uncertainty quantification enables reliable deep learning for protein-ligand binding affinity predictionMilad Rayka, S Shahab NaghaviChemical Science|May 17, 2017
Prediction of superconducting iron-bismuth intermetallic compounds at high pressureMaximilian Amsler, S Shahab Naghavi, Chris WolvertonACS Applied Materials & Interfaces|April 23, 2020
CeTi2O6-A Promising Oxide for Solar Thermochemical Hydrogen ProductionS Shahab Naghavi, Jiangang He, C WolvertonPhysical Chemistry Chemical Physics : PCCP|May 25, 2022
Highly sensitive and low-power consumption metalloporphyrin-based junctions for CO detection with excellent recoveryAzar Ostovan, Nick Papior, S Shahab NaghaviPhysical Chemistry Chemical Physics : PCCP|November 5, 2025
Morphology and porosity engineering enhance the photocatalytic activity of mesoporous CeTi2O6Hamidreza Golriz, Mahboubeh Tasviri, S Shahab NaghaviJournal 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 FelserScientific Reports|February 11, 2026
Interpretable machine learning rationalizes carbonic anhydrase inhibition via conformal and counterfactual predictionMasoumeh Shams Ghamsary, Milad Rayka, S Shahab NaghaviPageof 6