Fetching the paper…
Reading the bibliography…
Machine learning has the potential to accelerate materials discovery by accurately predicting materials properties at a low computational cost.
D. A. Nix and A. S. Weigend, in Proceedings of 1994 ieee international conference on neural networks (ICNN’94) , Vol. 1 (IEEE, 1994) pp. 55–60
1994
Earlier work this paper cites.
K.-R. Müller, M. Finke, N. Murata, K. Schulten, and S.-i. Amari, Neural Computation 8
1996
Earlier work this paper cites.
L. Breiman, Machine learning 45
2001
Earlier work this paper cites.
M. Hellenbrandt, Crystallography Reviews 10
2004
Earlier work this paper cites.
D. S. Palmer, N. M. O’Boyle, R. C. Glen, and J. B. Mitchell, Journal of Chemical Information and Modeling 47
2007
Earlier work this paper cites.
A. R. Oganov, A. O. Lyakhov, and M. Valle, Accounts of chemical research 44
2011
Earlier work this paper cites.
C. J. Pickard and R. Needs, Journal of Physics: Condensed Matter 23
2011
Earlier work this paper cites.
G. Hautier, C. Fischer, V. Ehrlacher, A. Jain, and G. Ceder, Inorganic chemistry 50
2011
Earlier work this paper cites.
S. Curtarolo, W. Setyawan, S. Wang, J. Xue, K. Yang, R. H. Taylor, L. J. Nelson, G. L. Hart, S. Sanvito, M. Buongiorno-Nardelli, et al. , Computational Materials Science 58
2012
Earlier work this paper cites.
Y. Wang, J. Lv, L. Zhu, and Y. Ma, Computer Physics Communications 183
2012
Earlier work this paper cites.
J. E. Saal, S. Kirklin, M. Aykol, B. Meredig, and C. Wolverton, Journal of The Minerals, Metals & Materials Society 65
2013
Earlier work this paper cites.
A. Jain, S. P. Ong, G. Hautier, W. Chen, W. D. Richards, S. Dacek, S. Cholia, D. Gunter, D. Skinner, G. Ceder, et al. , APL Materials 1
2013
Earlier work this paper cites.
A. P. Bartók, R. Kondor, and G. Csányi, Physical Review B 87
2013
Earlier work this paper cites.
M. W. Gaultois, T. D. Sparks, C. K. Borg, R. Seshadri, W. D. Bonificio, and D. R. Clarke, Chemistry of Materials 25
2013
Earlier work this paper cites.
S. Kirklin, J. E. Saal, B. Meredig, A. Thompson, J. W. Doak, M. Aykol, S. Rühl, and C. Wolverton, npj Computational Materials 1
2015
Earlier work this paper cites.
L. M. Ghiringhelli, J. Vybiral, S. V. Levchenko, C. Draxl, and M. Scheffler, Physical Review Letters 114
2015
Earlier work this paper cites.
D. K. Duvenaud, D. Maclaurin, J. Iparraguirre, R. Bombarell, T. Hirzel, A. Aspuru-Guzik, and R. P. Adams, in Advances in Neural Information Processing Systems (2015) pp. 2224–2232
2015
Earlier work this paper cites.
S. P. Ong, S. Cholia, A. Jain, M. Brafman, D. Gunter, G. Ceder, and K. A. Persson, Computational Materials Science 97
2015
Earlier work this paper cites.
D. W. Davies, K. T. Butler, A. J. Jackson, A. Morris, J. M. Frost, J. M. Skelton, and A. Walsh, Chem 1
2016
Earlier work this paper cites.
L. Ward, A. Agrawal, A. Choudhary, and C. Wolverton, npj Computational Materials 2
2016
Earlier work this paper cites.
J. Zhang, K. Tse, M. Wong, Y. Zhang, and J. Zhu, Frontiers of Physics 11
2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016) pp. 770–778
2016
Earlier work this paper cites.
H. Huo and M. Rupp, arXiv preprint arXiv:1704.06439 (2017)
2017
Earlier work this paper cites.
J. Gilmer, S. S. Schoenholz, P. F. Riley, O. Vinyals, and G. E. Dahl, in Proceedings of the 34th International Conference on Machine Learning (JMLR. org, 2017) pp. 1263–1272
2017
Earlier work this paper cites.
B. Lakshminarayanan, A. Pritzel, and C. Blundell, in Advances in Neural Information Processing Systems (2017) pp. 6402–6413
2017
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, in Advances in Neural Information Processing Systems (2017) pp. 5998–6008
2017
Cited alongside, same era.
A. Kendall and Y. Gal, in Advances in Neural Information Processing Systems (2017) pp. 5574–5584
2017
Cited alongside, same era.
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. R. Salakhutdinov, and A. J. Smola, in Advances in neural information processing systems (2017) pp. 3391–3401
2017
Cited alongside, same era.
H. Edwards and A. Storkey, in Proceedings of the International Conference on Learning Representations (2017)
2017
Cited alongside, same era.
L. Bassman, P. Rajak, R. K. Kalia, A. Nakano, F. Sha, J. Sun, D. J. Singh, M. Aykol, P. Huck, K. Persson, et al. , npj Computational Materials 4
2018
Later among the works it cites.
A. Solomou, G. Zhao, S. Boluki, J. K. Joy, X. Qian, I. Karaman, R. Arróyave, and D. C. Lagoudas, Materials & Design 160
2018
Later among the works it cites.
F. Hase, L. M. Roch, C. Kreisbeck, and A. Aspuru-Guzik, ACS central science 4
2018
Later among the works it cites.
Z. Hou, Y. Takagiwa, Y. Shinohara, Y. Xu, and K. Tsuda, ACS applied materials & interfaces 11
2019
Closest in time.
C. Chen, W. Ye, Y. Zuo, C. Zheng, and S. P. Ong, Chemistry of Materials 31
2019
Closest in time.
M. J. Willatt, F. Musil, and M. Ceriotti, The Journal of Chemical Physics 150
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
B. Lakshminarayanan, A. Pritzel, and C. Blundell, in Advances in Neural Information Processing Systems (2017) pp. 6402–6413
2017
Cited alongside, same era.
C. Guo, G. Pleiss, Y. Sun, and K. Q. Weinberger, in International Conference on Machine Learning (2017) pp. 1321–1330
2017
Cited alongside, same era.
A. D. Sendek, E. D. Cubuk, E. R. Antoniuk, G. Cheon, Y. Cui, and E. J. Reed, Chemistry of Materials 31
2018
Cited alongside, same era.
A. Mansouri Tehrani, A. O. Oliynyk, M. Parry, Z. Rizvi, S. Couper, F. Lin, L. Miyagi, T. D. Sparks, and J. Brgoch, Journal of the American Chemical Society 140
2018
Cited alongside, same era.
F. A. Faber, A. S. Christensen, B. Huang, and O. A. von Lilienfeld, The Journal of Chemical Physics 148
2018
Cited alongside, same era.
K. T. Schütt, H. E. Sauceda, P.-J. Kindermans, A. Tkatchenko, and K.-R. Müller, The Journal of Chemical Physics 148
2018
Cited alongside, same era.
T. Xie and J. C. Grossman, Physical Review Letters 120
2018
Cited alongside, same era.
2019
Closest in time.
C. J. Bartel, C. Sutton, B. R. Goldsmith, R. Ouyang, C. B. Musgrave, L. M. Ghiringhelli, and M. Scheffler, Science Advances 5
2019
Closest in time.
E. D. Cubuk, A. D. Sendek, and E. J. Reed, The Journal of Chemical Physics 150
2019
Closest in time.
V. Tshitoyan, J. Dagdelen, L. Weston, A. Dunn, Z. Rong, O. Kononova, K. A. Persson, G. Ceder, and A. Jain, Nature 571
2019
Closest in time.
T. Xie, A. France-Lanord, Y. Wang, Y. Shao-Horn, and J. C. Grossman, Nature Communications 10
2019
Closest in time.
S. Fort, H. Hu, and B. Lakshminarayanan, arXiv preprint arXiv:1912.02757 (2019)
2019
Closest in time.
D. Jha, K. Choudhary, F. Tavazza, W.-k. Liao, A. Choudhary, C. Campbell, and A. Agrawal, Nature communications 10
2019
Closest in time.
D. So, Q. Le, and C. Liang, in International Conference on Machine Learning (2019) pp. 5877–5886
2019
Closest in time.
Y. Zhang and A. A. Lee, Chemical Science 10
2019
Closest in time.
2019
Closest in time.
M. Belkin, D. Hsu, S. Ma, and S. Mandal, Proceedings of the National Academy of Sciences 116
2019
Closest in time.
2019
Closest in time.
H. Song, T. Diethe, M. Kull, and P. Flach, in International Conference on Machine Learning (2019) pp. 5897–5906
2019
Closest in time.
Y. Ovadia, E. Fertig, J. Ren, Z. Nado, D. Sculley, S. Nowozin, J. Dillon, B. Lakshminarayanan, and J. Snoek, in Advances in Neural Information Processing Systems (2019) pp. 13991–14002
2019
Closest in time.
T. Lookman, P. V. Balachandran, D. Xue, and R. Yuan, npj Computational Materials 5
2019
Closest in time.
A. Y.-T. Wang, S. K. Kauwe, R. J. Murdock, and T. D. Sparks, ChemRxiv preprint chemrxiv:11869026 (2020)
2020
Closest in time.
A. G. Wilson and P. Izmailov, arXiv preprint arXiv:2002.08791 (2020)
2020
Closest in time.