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pro vyhledávání: '"Nyshadham, Chandramouli"'
Autor:
Nyshadham, Chandramouli, Rupp, Matthias, Bekker, Brayden, Shapeev, Alexander V., Mueller, Tim, Rosenbrock, Conrad W., Csányi, Gábor, Wingate, David W., Hart, Gus L. W.
Publikováno v:
npj Computational Materials 5.1 (2019): 51
Surrogate machine-learning models are transforming computational materials science by predicting properties of materials with the accuracy of ab initio methods at a fraction of the computational cost. We demonstrate surrogate models that simultaneous
Externí odkaz:
http://arxiv.org/abs/1809.09203
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:
Nyshadham, Chandramouli, Oses, Corey, Hansen, Jacob E., Takeuchi, Ichiro, Curtarolo, Stefano, Hart, Gus L. W.
In 2006, a novel cobalt-based superalloy was discovered [1] with mechanical properties better than some conventional nickel-based superalloys. As with conventional superalloys, its high performance arises from the precipitate-hardening effect of a co
Externí odkaz:
http://arxiv.org/abs/1603.05967
Autor:
Hunter, Abigail, Moore, Bryan A., Mudunuru, Maruti, Chau, Viet, Tchoua, Roselyne, Nyshadham, Chandramouli, Karra, Satish, O’Malley, Daniel, Rougier, Esteban, Viswanathan, Hari, Srinivasan, Gowri
Publikováno v:
In Computational Materials Science 1 February 2019 157:87-98
Autor:
Nyshadham, Chandramouli, Oses, Corey, Hansen, Jacob E., Takeuchi, Ichiro, Curtarolo, Stefano, Hart, Gus L.W.
Publikováno v:
In Acta Materialia 1 January 2017 122:438-447
Autor:
Nyshadham, Chandramouli
Publikováno v:
Theses and Dissertations.
Predicting new materials through virtually screening a large number of hypothetical materials using supercomputers has enabled materials discovery at an accelerated pace. However, the innumerable number of possible hypothetical materials necessitates
Externí odkaz:
https://scholarsarchive.byu.edu/etd/7735
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8735&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8735&context=etd
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