Sergei Manzhos

Citado por

	Todos	Desde 2020
Citações	8340	5212
Índice h	49	37
Índice i10	167	132

1200

600

300

900

2006200720082009201020112012201320142015201620172018201920202021202220232024202539 55 37 89 76 96 104 156 152 236 345 441 549 689 857 1015 1019 1200 980 141

Acesso público

Ver todos

72 artigos

17 artigos

disponível

não disponível

Com base nas autorizações de financiamento

Coautores

Prashant SonarProfessor & ARC Future Fellow, Organic and Printed Electronic Research Group @QUTE-mail confirmado em qut.edu.au
T CarringtonQueen's UniversityE-mail confirmado em queensu.ca
Krishna Feron[email protected]E-mail confirmado em newcastle.edu.au
Daniel KochResearch Associate, German Aerospace Center (DLR)E-mail confirmado em dlr.de
Yingqian ChenResearch Fellow, National University of SingaporeE-mail confirmado em u.nus.edu
Hong Duc PhamPhD, Postdoctoral Research Fellow (Novel Energy Technologies), Centre for Future Materials @UniSQE-mail confirmado em unisq.edu.au
Oleksandr I. MalyiInverse Materials Design groupE-mail confirmado em e.ntu.edu.sg
John BellUniversity of Southern QueenslandE-mail confirmado em unisq.edu.au
Qian LIU (刘谦)ARC DECRA Fellow at Queensland University of Technology (QUT)E-mail confirmado em qut.edu.au
Il JeonVice Provost & Centre Director & Professor & CEO, Sungkyunkwan University (SKKU)E-mail confirmado em spc.oxon.org
Johann LüderNational Sun Yat-sen UniversityE-mail confirmado em mail.nsysu.edu.tw
Steven BottleChemistry QUT Queensland University of TechnologyE-mail confirmado em qut.edu.au
Hiroshi SegawaE-mail confirmado em mail.ecc.u-tokyo.ac.jp
Teck Leong TanInstitute of High Performance Computing SingaporeE-mail confirmado em ihpc.a-star.edu.sg
Vadym KulishNational University of SingaporeE-mail confirmado em nus.edu.sg
Hans-Peter LoockUniversity of Victoria (Queen's University 1999-2019)E-mail confirmado em uvic.ca
Yutaka MatsuoNagoya UniversityE-mail confirmado em chem.material.nagoya-u.ac.jp
Shigeo MaruyamaProfessor of Mechanical Engineering, The University of TokyoE-mail confirmado em photon.t.u-tokyo.ac.jp
Hao-Sheng LinAssistant Professor, Nagoya UniversityE-mail confirmado em material.nagoya-u.ac.jp
Amrita PalNUS - National University of SingaporeE-mail confirmado em nus.edu.sg

Seguir

Sergei Manzhos

Associate Professor, Ihara-Manzhos laboratory, Tokyo Institute of Technology

E-mail confirmado em m.titech.ac.jp - Página inicial

machine learning solar cells fuel cells computational spectroscopy large-scale ab initio


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
A random-sampling high dimensional model representation neural network for building potential energy surfaces S Manzhos, T Carrington The Journal of chemical physics 125 (8), 2006	287	2006
Neural network potential energy surfaces for small molecules and reactions S Manzhos, T Carrington Jr Chemical Reviews 121 (16), 10187-10217, 2020	276	2020
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, S Manzhos The Journal of chemical physics 148 (24), 2018	238	2018
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	220	2015
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	216	2006
Organic interfacial materials for perovskite-based optoelectronic devices HD Pham, L Xianqiang, W Li, S Manzhos, AKK Kyaw, P Sonar Energy & Environmental Science 12 (4), 1177-1209, 2019	206	2019
Using neural networks to represent potential surfaces as sums of products S Manzhos, T Carrington The Journal of chemical physics 125 (19), 2006	203	2006
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	172	2018
Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022	149	2022
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	137	2016
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	124	2013
Using neural networks, optimized coordinates, and high-dimensional model representations to obtain a vinyl bromide potential surface S Manzhos, T Carrington The Journal of chemical physics 129 (22), 2008	123	2008
Using redundant coordinates to represent potential energy surfaces with lower-dimensional functions S Manzhos, T Carrington The Journal of chemical physics 127 (1), 2007	120	2007
On the charge state of titanium in titanium dioxide D Koch, S Manzhos The journal of physical chemistry letters 8 (7), 1593-1598, 2017	114	2017
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	111	2015
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	106	2015
Photofragment image analysis using the Onion-Peeling Algorithm S Manzhos, HP Loock Computer physics communications 154 (1), 76-87, 2003	102	2003
Machine learning for the solution of the Schrödinger equation S Manzhos Machine Learning: Science and Technology 1 (1), 013002, 2020	99	2020
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	99	2013
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	92	2013

O sistema não pode executar a operação agora. Tente novamente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações mescladas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores