Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Farhad Ramezanghorbani"'
Autor:
Hossein Namvar Arefi, Seyyed Mohammad Amin Ghiasi, Seyyede Mahshid Ghaffari, Farhad Ramezanghorbani, Shiva Sharifpour, Peyman Irajizad, Seyede Delaram Ghoreishi Langroudi, Ahmad Amjadi
Publikováno v:
Shock and Vibration, Vol 2014 (2014)
Echo and sound resonance in a conference room cause obscure speech and make listeners tired. Thus, the acoustical properties of a conference room are vitally important. The conference room 412 at Sharif University Physics Department failed to meet ba
Externí odkaz:
https://doaj.org/article/89fae556d57a429bb034b07f5131fc7e
Autor:
Steven Dajnowicz, Garvit Agarwal, James M. Stevenson, Leif D. Jacobson, Farhad Ramezanghorbani, Karl Leswing, Richard A. Friesner, Mathew D. Halls, Robert Abel
Publikováno v:
The Journal of Physical Chemistry B. 126:6271-6280
Liquid electrolytes are one of the most important components of Li-ion batteries, which are a critical technology of the modern world. However, we still lack the computational tools required to accurately calculate key properties of these materials (
Autor:
Delaram Ghoreishi, Leif D. Jacobson, Robert Abel, Farhad Ramezanghorbani, Karl Leswing, Edward Harder, James Stevenson
Transferable high dimensional neural network potentials (HDNNP) have shown great promise as an avenue to increase the accuracy and domain of applicability of existing atomistic force fields for organic systems relevant to life science. We have previo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc31fac109e4f23981ec4030b379068
https://doi.org/10.26434/chemrxiv-2021-tmsdg-v3
https://doi.org/10.26434/chemrxiv-2021-tmsdg-v3
Autor:
Johannes Steinmetzer, Daniel A. Smith, C. David Sherrill, Mark S. Gordon, Nuwan De Silva, Jamshed Anwar, Fang Liu, Henry F. Schaefer, Justin M. Turney, Lee-Ping Wang, Maximilian Scheurer, Annabelle Lolinco, Doaa Altarawy, Jiří Šponer, John D. Chodera, Carlos H. Borca, Rollin A. King, Asem Alenaizan, Jeffrey B. Schriber, David Dotson, Jonathon P. Misiewicz, Heather J. Kulik, Andrew C. Simmonett, Jeffrey R. Wagner, Sebastian J. R. Lee, Theresa L. Windus, Taylor A. Barnes, Peter Kraus, Matthew Welborn, Lori A. Burns, Logan Ward, Andreas Dreuw, Holger Kruse, Devin A. Matthews, Jiyoung Lee, Farhad Ramezanghorbani, Jan Hermann, Roberto Di Remigio, Levi N. Naden, Todd J. Martínez, Joshua T. Horton, John F. Stanton, Sebastian Ehlert, Colton B. Hicks, Adrian G. Hurtado, Zachary L. Glick, Alexander G. Heide, Michael F. Herbst
Publikováno v:
The Journal of chemical physics, vol 155, iss 20
J Chem Phys
J Chem Phys
Community efforts in the computational molecular sciences (CMS) are evolving toward modular, open, and interoperable interfaces that work with existing community codes to provide more functionality and composability than could be achieved with a sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48b3b4d904ba13577747299327cdf641
https://resolver.caltech.edu/CaltechAUTHORS:20211206-452781343
https://resolver.caltech.edu/CaltechAUTHORS:20211206-452781343
Publikováno v:
Journal of chemical information and modeling. 60(7)
This paper presents TorchANI, a PyTorch-based program for training/inference of ANI (ANAKIN-ME) deep learning models to obtain potential energy surfaces and other physical properties of molecular systems. ANI is an accurate neural network potential o
This paper presents TorchANI, a PyTorch based software for training/inferenceof ANI (ANAKIN-ME) deep learning models to obtain potential energy surfaces andother physical properties of molecular systems. ANI is an accurate neural networkpotential ori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3acf4284617d35290e27e5a2a5e6dc06
https://doi.org/10.26434/chemrxiv.12218294.v1
https://doi.org/10.26434/chemrxiv.12218294.v1
Publikováno v:
The Journal of Physical Chemistry B. 122:7997-8005
Increasing demand for hybrid materials that merge the synthetic and biological areas in drug industries requires in-depth knowledge of the individual components and their contributions to these complexes. Coarse-grained (CG) models developed for prot
Autor:
Peyman Irajizad, Seyyede Mahshid Ghaffari, Farhad Ramezanghorbani, Shiva Sharifpour, Seyede Delaram Ghoreishi Langroudi, Seyyed Mohammad Amin Ghiasi, Ahmad Amjadi, Hossein Namvar Arefi
Publikováno v:
Shock and Vibration, Vol 2014 (2014)
Echo and sound resonance in a conference room cause obscure speech and make listeners tired. Thus, the acoustical properties of a conference room are vitally important. The conference room 412 at Sharif University Physics Department failed to meet ba
Publikováno v:
Journal of Chemical Physics
Many proteins display a marginally stable tertiary structure, which can be altered via external stimuli. Since a majority of coarse grained (CG) models are aimed at structure prediction, their success for an intrinsically disordered peptide's conform