Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Hossein Tahmasbi"'
Autor:
Sandeep Kumar, Hossein Tahmasbi, Kushal Ramakrishna, Mani Lokamani, Svetoslav Nikolov, Julien Tranchida, Mitchell A. Wood, Attila Cangi
Publikováno v:
Physical Review Research, Vol 5, Iss 3, p 033162 (2023)
We present a study on the transport and material properties of aluminum spanning from ambient to warm dense matter conditions using a machine-learned interatomic potential (ML-IAP). Prior research has utilized ML-IAPs to simulate phenomena in warm de
Externí odkaz:
https://doaj.org/article/c1236b7a1b884fbc98656632a534cb39
Publikováno v:
فصلنامه علوم و فناوری فضایی, Vol 8, Iss 2, Pp 19-26 (2015)
Preliminary orbit determination of unknown space object such as satellites that are launched by other countries, military satellites and uncatalogued Space debris is important in space activities. So by means of information of ground based electro-op
Externí odkaz:
https://doaj.org/article/7dca487ab447463ca50cf62e73aa9b85
Autor:
Tibor Höltzl, Máté Szalay, Joost M. Bakker, Ludo B. F. Juurlink, Olga V. Lushchikova, Jörg Meyer, Hossein Tahmasbi
Publikováno v:
PCCP Physical Chemistry Chemical Physics, 23, 47, pp. 26661-26673
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics. Royal Society of Chemistry (RSC)
PCCP Physical Chemistry Chemical Physics, 23, 26661-26673
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics. Royal Society of Chemistry (RSC)
PCCP Physical Chemistry Chemical Physics, 23, 26661-26673
To understand elementary reaction steps in the hydrogenation of CO2 over copper-based catalysts, we experimentally study the adsorption of CO2 and H2 onto cationic Cun+ clusters. For this, we react Cun+ clusters formed by laser ablation with a mixtur
Using a fast and accurate neural network potential we are able to systematically explore the energy landscape of large unit cells of bulk magnesium oxide with the minima hopping method. The potential is trained with a focus on the near-stoichiometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f43236507532d72714e6acaa06ecc78d
http://arxiv.org/abs/2104.05853
http://arxiv.org/abs/2104.05853
Autor:
Olga V, Lushchikova, Hossein, Tahmasbi, Stijn, Reijmer, Rik, Platte, Jörg, Meyer, Joost M, Bakker
Publikováno v:
The Journal of Physical Chemistry. a
IR spectra of cationic copper clusters Cun+ (n = 4–7) complexed with hydrogen molecules are recorded via IR multiple-photon dissociation (IRMPD) spectroscopy. To this end, the copper clusters are generated via laser ablation and reacted with H2 and
Autor:
Rik Platte, Olga V. Lushchikova, Jörg Meyer, Stijn Reijmer, Joost M. Bakker, Hossein Tahmasbi
Publikováno v:
The Journal of Physical Chemistry A, 125, 2836-2848
Journal of Physical Chemistry A, 125(14), 2836-2848. American Chemical Society (ACS)
The Journal of Physical Chemistry A, 125, 14, pp. 2836-2848
Journal of Physical Chemistry A, 125(14), 2836-2848. American Chemical Society (ACS)
The Journal of Physical Chemistry A, 125, 14, pp. 2836-2848
IR spectra of cationic copper clusters Cun+ (n = 4-7) complexed with hydrogen molecules are recorded via IR multiple-photon dissociation (IRMPD) spectroscopy. To this end, the copper clusters are generated via laser ablation and reacted with H2 and D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::571c55f37f46981382b54d92a6af3c79
https://hdl.handle.net/1887/3216887
https://hdl.handle.net/1887/3216887
Autor:
Alireza Orouei, Mohammad Nikookar, Seyed Mohsen Hosseinian, Vahid Najafi Moghaddam Gilani, Hossein Tahmasbi Amoli
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
Due to population growth and the increasing number of vehicles on rural roads, traffic accidents have become one of the most important problems in the transportation system, which greatly affects the social and economic situation of the people. The m
Akademický článek
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Autor:
Maximilian Amsler, Ehsan Rahmatizad Khajehpasha, Hossein Tahmasbi, Somayeh Faraji, Samare Rostami, Robabe Rasoulkhani, S. Alireza Ghasemi
FLAME is a software package to perform a wide range of atomistic simulations for exploring the potential energy surfaces (PES) of complex condensed matter systems. The available methods include molecular dynamics simulations to sample free energy lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29aea3941f2415191303f9285e0d232
http://arxiv.org/abs/1912.04055
http://arxiv.org/abs/1912.04055
Publikováno v:
Computational Materials Science. 197:110567
The performance of machine learning interatomic potentials relies on the quality of the training dataset. In this work, we present an approach for generating diverse and representative training data points which initiates with ab initio calculations