Sergei Manzhos
Title
Cited by
Cited by
Year
A random-sampling high dimensional model representation neural network for building potential energy surfaces
S Manzhos, T Carrington Jr
The Journal of chemical physics 125 (8), 084109, 2006
1912006
A nested molecule-independent neural network approach for high-quality potential fits
S Manzhos, X Wang, R Dawes, T Carrington
The Journal of Physical Chemistry A 110 (16), 5295-5304, 2006
1552006
Using neural networks to represent potential surfaces as sums of products
S Manzhos, T Carrington Jr
The Journal of chemical physics 125 (19), 194105, 2006
1382006
Neural network‐based approaches for building high dimensional and quantum dynamics‐friendly potential energy surfaces
S Manzhos, R Dawes, T Carrington
International Journal of Quantum Chemistry 115 (16), 1012-1020, 2015
1072015
Using neural networks, optimized coordinates, and high-dimensional model representations to obtain a vinyl bromide potential surface
S Manzhos, T Carrington Jr
The Journal of chemical physics 129 (22), 224104, 2008
942008
Using redundant coordinates to represent potential energy surfaces with lower-dimensional functions
S Manzhos, T Carrington Jr
The Journal of chemical physics 127 (1), 014103, 2007
892007
Photofragment image analysis using the Onion-Peeling Algorithm
S Manzhos, HP Loock
Computer physics communications 154 (1), 76-87, 2003
802003
In search of high performance anode materials for Mg batteries: Computational studies of Mg in Ge, Si, and Sn
OI Malyi, TL Tan, S Manzhos
Journal of Power Sources 233, 341-345, 2013
792013
A comparative computational study of structures, diffusion, and dopant interactions between Li and Na insertion into Si
OI Malyi, TL Tan, S Manzhos
Applied Physics Express 6 (2), 027301, 2013
742013
A computational study of the insertion of Li, Na, and Mg atoms into Si (111) nanosheets
O Malyi, VV Kulish, TL Tan, S Manzhos
Nano Energy 2 (6), 1149-1157, 2013
672013
Insertion energetics of lithium, sodium, and magnesium in crystalline and amorphous titanium dioxide: a comparative first-principles study
F Legrain, O Malyi, S Manzhos
Journal of Power Sources 278, 197-202, 2015
652015
Study of Interfacial Charge Transfer Bands and Electron Recombination in the Surface Complexes of TCNE, TCNQ, and TCNAQ with TiO2
S Manzhos, R Jono, K Yamashita, J Fujisawa, M Nagata, H Segawa
The Journal of Physical Chemistry C 115 (43), 21487-21493, 2011
652011
Phenothiazine and carbazole substituted pyrene based electroluminescent organic semiconductors for OLED devices
JK Salunke, FL Wong, K Feron, S Manzhos, MF Lo, D Shinde, A Patil, ...
Journal of Materials Chemistry C 4 (5), 1009-1018, 2016
622016
Molecular engineering using an anthanthrone dye for low‐cost hole transport materials: a strategy for dopant‐free, high‐efficiency, and stable perovskite solar cells
HD Pham, TT Do, J Kim, C Charbonneau, S Manzhos, K Feron, WC Tsoi, ...
Advanced Energy Materials 8 (16), 1703007, 2018
602018
Controlling Na diffusion by rational design of Si-based layered architectures
VV Kulish, OI Malyi, MF Ng, Z Chen, S Manzhos, P Wu
Physical Chemistry Chemical Physics 16 (9), 4260-4267, 2014
572014
Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy
A Kamath, RA Vargas-Hernández, RV Krems, T Carrington Jr, S Manzhos
The Journal of chemical physics 148 (24), 241702, 2018
562018
A computational study of Na behavior on graphene
OI Malyi, K Sopiha, VV Kulish, TL Tan, S Manzhos, C Persson
Applied Surface Science 333, 235-243, 2015
512015
Aluminum doping improves the energetics of lithium, sodium, and magnesium storage in silicon: a first-principles study
F Legrain, S Manzhos
Journal of Power Sources 274, 65-70, 2015
512015
Superexcited state reconstruction of HCl using photoelectron and photoion imaging
C Romanescu, S Manzhos, D Boldovsky, J Clarke, HP Loock
The Journal of chemical physics 120 (2), 767-777, 2004
512004
Comparative computational study of the energetics of Li, Na, and Mg storage in amorphous and crystalline silicon
F Legrain, OI Malyi, S Manzhos
Computational materials science 94, 214-217, 2014
492014
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Articles 1–20