@article{maldonis_banadaki_patala_voyles_2019, title={Short-range order structure motifs learned from an atomistic model of a Zr50Cu45Al5 metallic glass}, volume={175}, ISSN={["1873-2453"]}, url={https://doi.org/10.1016/j.actamat.2019.05.002}, DOI={10.1016/j.actamat.2019.05.002}, abstractNote={The structural motifs of a Zr50Cu45Al5 metallic glass were learned from atomistic models using a new structure analysis method called motif extraction that employs point-pattern matching and machine learning clustering techniques. The motifs are the nearest-neighbor building blocks of the glass and reveal a well-defined hierarchy of structures as a function of coordination number. Some of the motifs are icosahedral or quasi-icosahedral in structure, while others take on the structure of the most close-packed geometries for each coordination number. These results set the stage for developing clearer structure-property connections in metallic glasses. Motif extraction can be applied to any disordered material to identify its structural motifs without the need for human input.}, journal={ACTA MATERIALIA}, publisher={Elsevier BV}, author={Maldonis, Jason J. and Banadaki, Arash Dehghan and Patala, Srikanth and Voyles, Paul M.}, year={2019}, month={Aug}, pages={35–45} }
 @article{banadaki_patala_2017, title={A three-dimensional polyhedral unit model for grain boundary structure in fcc metals}, volume={3}, ISSN={["2057-3960"]}, url={https://doi.org/10.1038/s41524-017-0016-0}, DOI={10.1038/s41524-017-0016-0}, abstractNote={Abstract}, number={1}, journal={NPJ COMPUTATIONAL MATERIALS}, publisher={Springer Nature}, author={Banadaki, Arash Dehghan and Patala, Srikanth}, year={2017}, month={Mar} }
 @article{dehghan banadaki_guddati_kim_2016, title={An algorithm for virtual fabrication of air voids in asphalt concrete}, volume={17}, ISSN={["1477-268X"]}, DOI={10.1080/10298436.2014.979822}, abstractNote={Motivated by the virtual testing of asphalt concrete, the North Carolina State University research team has developed an algorithm to computationally generate air voids. After examining the X-ray tomographic images of real asphalt concrete microstructure, we concluded that the air void's shape and size are affected primarily by the surrounding local aggregate structure. Building on this observation, we developed an algorithm to generate random but representative air void configurations inside a given microstructure. By applying the algorithm to scanned aggregate structures, we show that the generated air voids not only look visually similar to actual air voids, but also are effective in capturing modulus reduction. The algorithm is included in a virtual aggregate structure generation framework, resulting in a streamlined virtual fabrication procedure for asphalt concrete that can qualitatively capture the effects of accelerated degradation due to the presence of air voids.}, number={3}, journal={INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING}, author={Dehghan Banadaki, Arash and Guddati, Murthy N. and Kim, Y. Richard}, year={2016}, month={Mar}, pages={225–232} }