Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Gossett, Eric"'
Autor:
Mehl, Michael J., Ronquillo, Mateo, Hicks, David, Esters, Marco, Oses, Corey, Friedrich, Rico, Smolyanyuk, Andriy, Gossett, Eric, Finkenstadt, Daniel, Curtarolo, Stefano
Publikováno v:
Phys. Rev. Materials 5, 083608 (2021)
At ambient pressure tin transforms from its ground-state semi-metal $\alpha$-Sn (diamond structure) phase to the compact metallic $\beta$-Sn phase at 13$^\circ$C (286K). There may be a further transition to the simple hexagonal $\gamma$-Sn above 450K
Externí odkaz:
http://arxiv.org/abs/2010.07168
Autor:
Avery, Patrick, Wang, Xiaoyu, Proserpio, Davide M., Toher, Cormac, Oses, Corey, Gossett, Eric, Curtarolo, Stefano, Zurek, Eva
Good agreement was found between experimental Vickers hardnesses, $H_\text{v}$, of a wide range of materials and those calculated by three macroscopic hardness models that employ the shear and/or bulk moduli obtained from: (i) first principles via AF
Externí odkaz:
http://arxiv.org/abs/1906.05886
Autor:
Hicks, David, Mehl, Michael J., Gossett, Eric, Toher, Cormac, Levy, Ohad, Hanson, Robert M., Hart, Gus, Curtarolo, Stefano
Materials discovery via high-throughput methods relies on the availability of structural prototypes, which are generally decorated with varying combinations of elements to produce potential new materials. To facilitate the automatic generation of the
Externí odkaz:
http://arxiv.org/abs/1806.07864
Autor:
Oses, Corey, Gossett, Eric, Hicks, David, Rose, Frisco, Mehl, Michael J., Perim, Eric, Takeuchi, Ichiro, Sanvito, Stefano, Scheffler, Matthias, Lederer, Yoav, Levy, Ohad, Toher, Cormac, Curtarolo, Stefano
$\textit{A priori}$ prediction of phase stability of materials is a challenging practice, requiring knowledge of all energetically-competing structures at formation conditions. Large materials repositories $\unicode{x2014}$ housing properties of both
Externí odkaz:
http://arxiv.org/abs/1806.06901
Autor:
Hicks, David, Oses, Corey, Gossett, Eric, Gomez, Geena, Taylor, Richard H., Toher, Cormac, Mehl, Michael J., Levy, Ohad, Curtarolo, Stefano
Determination of the symmetry profile of structures is a persistent challenge in materials science. Results often vary amongst standard packages, hindering autonomous materials development by requiring continuous user attention and educated guesses.
Externí odkaz:
http://arxiv.org/abs/1802.07977
Autor:
Toher, Cormac, Oses, Corey, Hicks, David, Gossett, Eric, Rose, Frisco, Nath, Pinku, Usanmaz, Demet, Ford, Denise C., Perim, Eric, Calderon, Camilo E., Plata, Jose J., Lederer, Yoav, Jahnátek, Michal, Setyawan, Wahyu, Wang, Shidong, Xue, Junkai, Rasch, Kevin, Chepulskii, Roman V., Taylor, Richard H., Gomez, Geena, Shi, Harvey, Supka, Andrew R., Orabi, Rabih Al Rahal Al, Gopal, Priya, Cerasoli, Frank T., Liyanage, Laalitha, Wang, Haihang, Siloi, Ilaria, Agapito, Luis A., Nyshadham, Chandramouli, Hart, Gus L. W, Carrete, Jesús, Legrain, Fleur, Mingo, Natalio, Zurek, Eva, Isayev, Olexandr, Tropsha, Alexander, Sanvito, Stefano, Hanson, Robert M., Takeuchi, Ichiro, Mehl, Michael J., Kolmogorov, Aleksey N., Yang, Kesong, D'Amico, Pino, Calzolari, Arrigo, Costa, Marcio, De Gennaro, Riccardo, Nardelli, Marco Buongiorno, Fornari, Marco, Levy, Ohad, Curtarolo, Stefano
The traditional paradigm for materials discovery has been recently expanded to incorporate substantial data driven research. With the intent to accelerate the development and the deployment of new technologies, the AFLOW Fleet for computational mater
Externí odkaz:
http://arxiv.org/abs/1712.00422
Autor:
Gossett, Eric, Toher, Cormac, Oses, Corey, Isayev, Olexandr, Legrain, Fleur, Rose, Frisco, Zurek, Eva, Carrete, Jesús, Mingo, Natalio, Tropsha, Alexander, Curtarolo, Stefano
Machine learning approaches, enabled by the emergence of comprehensive databases of materials properties, are becoming a fruitful direction for materials analysis. As a result, a plethora of models have been constructed and trained on existing data t
Externí odkaz:
http://arxiv.org/abs/1711.10744
Autor:
Rose, Frisco, Toher, Cormac, Gossett, Eric, Oses, Corey, Nardelli, Marco Buongiorno, Fornari, Marco, Curtarolo, Stefano
Automated computational materials science frameworks rapidly generate large quantities of materials data useful for accelerated materials design. We have extended the data oriented AFLOW-repository API (Application-Program-Interface, as described in
Externí odkaz:
http://arxiv.org/abs/1612.05130
Autor:
Isayev, Olexandr, Oses, Corey, Toher, Cormac, Gossett, Eric, Curtarolo, Stefano, Tropsha, Alexander
Historically, materials discovery has been driven by a laborious trial-and-error process. The growth of materials databases and emerging informatics approaches finally offer the opportunity to transform this practice into data- and knowledge-driven r
Externí odkaz:
http://arxiv.org/abs/1608.04782
Autor:
GOSSETT, ERIC JAMES.
A strongly regular graph can be design partitioned if the vertices of the graph can be partitioned into two sets V and B such that V is a coclique and every vertex in B is adjacent to the same number of vertices in V. In this case, a balanced incompl
Externí odkaz:
http://hdl.handle.net/10150/187829