S.M. Mortuza
S.M. Mortuza
Electrified Propulsion System Simulation Engineer, Fiat Chrysler Automobiles
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Efficient fast-charging of lithium-ion batteries enabled by laser-patterned three-dimensional graphite anode architectures
KH Chen, MJ Namkoong, V Goel, C Yang, S Kazemiabnavi, SM Mortuza, ...
Journal of Power Sources 471, 228475, 2020
Deep‐learning contact‐map guided protein structure prediction in CASP13
W Zheng, Y Li, C Zhang, R Pearce, SM Mortuza, Y Zhang
Proteins: Structure, Function, and Bioinformatics 87 (12), 1149-1164, 2019
DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins
C Zhang, W Zheng, SM Mortuza, Y Li, Y Zhang
Bioinformatics 36 (7), 2105-2112, 2020
Template‐based and free modeling of I‐TASSER and QUARK pipelines using predicted contact maps in CASP12
C Zhang, SM Mortuza, B He, Y Wang, Y Zhang
Proteins: Structure, Function, and Bioinformatics 86, 136-151, 2018
NeBcon: protein contact map prediction using neural network training coupled with na´ve Bayes classifiers
B He, SM Mortuza, Y Wang, HB Shen, Y Zhang
Bioinformatics 33 (15), 2296-2306, 2017
Salt solutions in carbon nanotubes: The role of cation− π interactions
TA Pham, SMG Mortuza, BC Wood, EY Lau, T Ogitsu, SF Buchsbaum, ...
The Journal of Physical Chemistry C 120 (13), 7332-7338, 2016
Improving fragment-based ab initio protein structure assembly using low-accuracy contact-map predictions
SM Mortuza, W Zheng, C Zhang, Y Li, R Pearce, Y Zhang
Nature communications 12 (1), 5011, 2021
Detecting distant-homology protein structures by aligning deep neural-network based contact maps
W Zheng, Q Wuyun, Y Li, SM Mortuza, C Zhang, R Pearce, J Ruan, ...
PLoS computational biology 15 (10), e1007411, 2019
Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families
Y Wang, Q Shi, P Yang, C Zhang, SM Mortuza, Z Xue, K Ning, Y Zhang
Genome biology 20, 1-14, 2019
Molecular modeling study of agglomeration of [6, 6]-phenyl-C61-butyric acid methyl ester in solvents
SM Mortuza, S Banerjee
The Journal of Chemical Physics 137, 244308, 2012
Reversible tailoring of mechanical properties of carbon nanotube forests by immersing in solvents
PPSS Abadi, MR Maschmann, SM Mortuza, S Banerjee, JW Baur, ...
Carbon 69, 178-187, 2014
Mechanistic insight into the attachment of fullerene derivatives on crystal faces of methylammonium lead iodide based perovskites
MFN Taufique, SM Mortuza, S Banerjee
The Journal of Physical Chemistry C 120 (39), 22426-22432, 2016
Computational and Experimental Investigation of Bubble Circulation Patterns Within a Column Photobioreactor
SM Mortuza, A Kommareddy, S Gent, G Anderson
ASME 2011 5th International Conference on Energy Sustainability, 1131-1140, 2011
Computational and Experimental Investigation of Heat Transfer Within a Column Photobioreactor
SM Mortuza, S Gent, A Kommareddy, G Anderson
ASME 2011 International Mechanical Engineering Congress and Exposition, 839-848, 2011
Combined deterministic-stochastic framework for modeling the agglomeration of colloidal particles
SM Mortuza, LK Kariyawasam, S Banerjee
Physical Review E 92 (1), 013304, 2015
Investigation of Bubble and Fluid Flow Patterns Within a Column Photobioreactor
SM Mortuza, S Gent, A Kommareddy, G Anderson
Journal of Fuel Cell Science and Technology 9 (3), 2012
Solution processed deposition of electron transport layers on perovskite crystal surface—A modeling based study
SM Mortuza, MFN Taufique, S Banerjee
Applied Surface Science 394, 488-497, 2017
Solvent-based preferential deposition of functionalized carbon nanotubes on substrates
SM Mortuza, S Banerjee
Journal of Applied Physics 114 (074301), 2013
Molecular Modeling of Nanoparticles and Conjugated Polymers During Synthesis of Photoactive Layers of Organic Photovoltaic Solar Cells
SM Mortuza, C Cisneros, MDC Bartolo, S Banerjee
Atomistic modelling–impact and opportunities in thin-film photovoltaic solar cell technologies
SM Mortuza, S Banerjee
Molecular simulation 43 (10-11), 774-796, 2017
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