HRMC_2.0: Hybrid Reverse Monte Carlo method with silicon, carbon and germanium potentials. - George Opletal; Timothy C. Petersen; I. K. Snook; Salvy P. Russo (Comput. Phys. Commun., 2013)

HRMC_2.1: Hybrid Reverse Monte Carlo method with silicon, carbon, germanium and silicon carbide potentials. - George Opletal; Timothy C. Petersen; Salvy P. Russo (Comput. Phys. Commun., 2014)

Scalable and Fault-Tolerant Cloud Computations: Modelling and Implementation. - Maria Spichkova; Ian E. Thomas; Heinz W. Schmidt; Iman I. Yusuf; Daniel W. Drumm; Steve G. Androulakis; George Opletal; Salvy P. Russo (ICPADS, 2015)

Chiminey: Reliable Computing and Data Management Platform in the Cloud. - Iman I. Yusuf; Ian E. Thomas; Maria Spichkova; Steve G. Androulakis; Grischa R. Meyer; Daniel W. Drumm; George Opletal; Salvy P. Russo; Ashley M. Buckle; Heinz W. Schmidt (ICSE (2), 2015)

On reverse Monte Carlo constraints and model reproduction. - George Opletal; Timothy C. Petersen; Amanda S. Barnard; Salvy P. Russo (J. Comput. Chem., 2017)

A machine learning platform for the discovery of materials. - Carl E. Belle; Vural Aksakalli; Salvy P. Russo (J. Cheminformatics, 2021)

PyPhotonics: A python package for the evaluation of luminescence properties of defects. - Sherif Abdulkader Tawfik; Salvy P. Russo (Comput. Phys. Commun., 2022)

Naturally-meaningful and efficient descriptors: machine learning of material properties based on robust one-shot ab initio descriptors. - Sherif Abdulkader Tawfik; Salvy P. Russo (J. Cheminformatics, 2022)