Fetching the paper…
Reading the bibliography…
Topological insulators (TIs) and topological crystalline insulators (TCIs) are materials with unconventional electronic properties, making their discovery highly valuable for practical applications.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei, Language models are few-shot learners, in Advances in Neural Information Processing Systems , Vol. 33, edited by H. Larochelle, M. Ranzato, R. Hadsell, M. Balcan, and H. Lin (Curran Associates, Inc., 2020) pp. 1877–1901
1901
Earlier work this paper cites.
P. E. Blöchl, Projector augmented-wave method, Phys. Rev. B 50
1994
Earlier work this paper cites.
G. Kresse and J. Furthmüller, Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set, Phys. Rev. B 54
1996
Earlier work this paper cites.
J. P. Perdew, K. Burke, and M. Ernzerhof, Generalized gradient approximation made simple, Phys. Rev. Lett. 77
1996
Earlier work this paper cites.
S. L. Dudarev, G. A. Botton, S. Y. Savrasov, C. J. Humphreys, and A. P. Sutton, Electron-energy-loss spectra and the structural stability of nickel oxide: An lsda+u study, Phys. Rev. B 57
1998
Earlier work this paper cites.
C. L. Kane and E. J. Mele, Quantum spin hall effect in graphene, Phys. Rev. Lett. 95
2005
Earlier work this paper cites.
B. A. Bernevig, T. L. Hughes, and S.-C. Zhang, Quantum spin hall effect and topological phase transition in HgTe quantum wells, Science 314
2006
Earlier work this paper cites.
M. König, S. Wiedmann, C. Brüne, A. Roth, H. Buhmann, L. W. Molenkamp, X.-L. Qi, and S.-C. Zhang, Quantum spin hall insulator state in hgte quantum wells, Science 318
2007
Earlier work this paper cites.
L. Fu, C. L. Kane, and E. J. Mele, Topological insulators in three dimensions, Phys. Rev. Lett. 98
2007
Earlier work this paper cites.
A. A. Mostofi, J. R. Yates, Y.-S. Lee, I. Souza, D. Vanderbilt, and N. Marzari, wannier90: A tool for obtaining maximally-localised wannier functions, Comput. Phys. Commun. 178
2008
Earlier work this paper cites.
Y. L. Chen, J. G. Analytis, J.-H. Chu, Z. K. Liu, S.-K. Mo, X. L. Qi, H. J. Zhang, D. H. Lu, X. Dai, Z. Fang, S. C. Zhang, I. R. Fisher, Z. Hussain, and Z.-X. Shen, Experimental realization of a three-dimensional topological insulator, bi2te3, Science 325
2009
Earlier work this paper cites.
H. Zhang, C.-X. Liu, X.-L. Qi, X. Dai, Z. Fang, and S.-C. Zhang, Topological insulators in Bi 2 Se 3 , Bi 2 Te 3 and Sb 2 Te 3 with a single Dirac cone on the surface, Nature Phys 5
2009
Earlier work this paper cites.
M. Z. Hasan and C. L. Kane, Colloquium: Topological insulators, Rev. Mod. Phys. 82
2010
Earlier work this paper cites.
X.-L. Qi and S.-C. Zhang, Topological insulators and superconductors, Rev. Mod. Phys. 83
2011
Earlier work this paper cites.
L. Fu, Topological crystalline insulators, Phys. Rev. Lett. 106
2011
Earlier work this paper cites.
A. A. Burkov, M. D. Hook, and L. Balents, Topological nodal semimetals, Phys. Rev. B 84
2011
Earlier work this paper cites.
L.-L. Wang and D. D. Johnson, Ternary tetradymite compounds as topological insulators, Phys. Rev. B 83
2011
Earlier work this paper cites.
T. H. Hsieh, H. Lin, J. Liu, W. Duan, A. Bansil, and L. Fu, Topological crystalline insulators in the SnTe material class, Nature Commun. 3
2012
Earlier work this paper cites.
J.-M. Zhang, W. Ming, Z. Huang, G.-B. Liu, X. Kou, Y. Fan, K. L. Wang, and Y. Yao, Stability, electronic, and magnetic properties of the magnetically doped topological insulators Bi 2 Se 3 , Bi 2 Te 3 , and Sb 2 Te 3 , Phys. Rev. B 88
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, and K. A. Persson, Commentary: The Materials Project: A materials genome approach to accelerating materials innovation, APL Mater. 1
2013
Earlier work this paper cites.
Z. K. Liu, B. Zhou, Y. Zhang, Z. J. Wang, H. M. Weng, D. Prabhakaran, S.-K. Mo, Z. X. Shen, Z. Fang, X. Dai, Z. Hussain, and Y. L. Chen, Discovery of a three-dimensional topological Dirac semimetal N a 3 B i Na_{3}Bi , Science 343
2014
Earlier work this paper cites.
S.-Y. Xu, I. Belopolski, N. Alidoust, M. Neupane, G. Bian, C. Zhang, R. Sankar, G. Chang, Z. Yuan, C.-C. Lee, S.-M. Huang, H. Zheng, J. Ma, D. S. Sanchez, B. Wang, A. Bansil, F. Chou, P. P. Shibayev, H. Lin, S. Jia, and M. Z. Hasan, Discovery of a weyl fermion semimetal and topological Fermi arcs, Science 349
2015
Earlier work this paper cites.
B. Q. Lv, H. M. Weng, B. B. Fu, X. P. Wang, H. Miao, J. Ma, P. Richard, X. C. Huang, L. X. Zhao, G. F. Chen, Z. Fang, X. Dai, T. Qian, and H. Ding, Experimental discovery of weyl semimetal TaAs, Phys. Rev. X 5
2015
Earlier work this paper cites.
B. Bradlyn, J. Cano, Z. Wang, M. G. Vergniory, C. Felser, R. J. Cava, and B. A. Bernevig, Beyond Dirac and Weyl fermions: Unconventional quasiparticles in conventional crystals, Science 353
2016
Earlier work this paper cites.
J. Wang and S.-C. Zhang, Topological states of condensed matter, Nature Mater. 16
2017
Earlier work this paper cites.
B. Bradlyn, L. Elcoro, J. Cano, M. G. Vergniory, Z. Wang, C. Felser, M. I. Aroyo, and B. A. Bernevig, Topological quantum chemistry, Nature 547
2017
Earlier work this paper cites.
H. C. Po, A. Vishwanath, and H. Watanabe, Symmetry-based indicators of band topology in the 230 space groups, Nature Commun. 8
2017
Cited alongside, same era.
J. Kruthoff, J. de Boer, J. van Wezel, C. L. Kane, and R.-J. Slager, Topological classification of crystalline insulators through band structure combinatorics, Phys. Rev. X 7
2017
Cited alongside, same era.
2017
Cited alongside, same era.
N. P. Armitage, E. J. Mele, and A. Vishwanath, Weyl and dirac semimetals in three-dimensional solids, Rev. Mod. Phys. 90
2018
Cited alongside, same era.
Q. Wu, S. Zhang, H.-F. Song, M. Troyer, and A. A. Soluyanov, Wanniertools: An open-source software package for novel topological materials, Comput. Phys. Commun. 224
D. Wines, T. Xie, and K. Choudhary, Inverse design of next-generation superconductors using data-driven deep generative models, J. Phys. Chem. Lett. 14
2023
Later among the works it cites.
Y. Zhao, E. M. D. Siriwardane, Z. Wu, N. Fu, M. Al-Fahdi, M. Hu, and J. Hu, Physics guided deep learning for generative design of crystal materials with symmetry constraints, npj Comput Mater 9
2023
Later among the works it cites.
E. Zamaraeva, C. M. Collins, D. Antypov, V. V. Gusev, R. Savani, M. S. Dyer, G. R. Darling, I. Potapov, M. J. Rosseinsky, and P. G. Spirakis, Reinforcement learning in crystal structure prediction, Digital Discovery 2
2023
Later among the works it cites.
J. Xu, X. Liu, Y. Wu, Y. Tong, Q. Li, M. Ding, J. Tang, and Y. Dong, Imagereward: Learning and evaluating human preferences for text-to-image generation, in Advances in Neural Information Processing Systems , Vol. 36, edited by A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Curran Associates, Inc., 2023) pp. 15903–15935
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
M. G. Vergniory, L. Elcoro, C. Felser, N. Regnault, B. A. Bernevig, and Z. Wang, A complete catalogue of high-quality topological materials, Nature 566
2019
Cited alongside, same era.
D. Davies, K. Butler, A. Jackson, J. Skelton, K. Morita, and A. Walsh, Smact: Semiconducting materials by analogy and chemical theory, J. Open Source Softw. 4
2019
Cited alongside, same era.
N. W. A. Gebauer, M. Gastegger, and K. T. Schütt, Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules, in Proceedings of the 33rd International Conference on Neural Information Processing Systems , edited by W. Hanna M, L. Hugo, B. Alina, d.-B. Florence, and F. Emily B. (Curran Associates Inc., Red Hook, NY, USA, 2019)
2019
Cited alongside, same era.
G. Cao, R. Ouyang, L. M. Ghiringhelli, M. Scheffler, H. Liu, C. Carbogno, and Z. Zhang, Artificial intelligence for high-throughput discovery of topological insulators: The example of alloyed tetradymites, Phys. Rev. Mater. 4
2020
Cited alongside, same era.
N. Claussen, B. A. Bernevig, and N. Regnault, Detection of topological materials with machine learning, Phys. Rev. B 101
2020
Cited alongside, same era.
Y. Deng, Y. Yu, M. Z. Shi, Z. Guo, Z. Xu, J. Wang, X. H. Chen, and Y. Zhang, Quantum anomalous hall effect in intrinsic magnetic topological insulator MnBi 2 Te 4 , Science 367
2020
Cited alongside, same era.
Y. Xu, L. Elcoro, Z.-D. Song, B. J. Wieder, M. G. Vergniory, N. Regnault, Y. Chen, C. Felser, and B. A. Bernevig, High-throughput calculations of magnetic topological materials, Nature 586
2020
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
K. Choudhary, D. Wines, K. Li, K. F. Garrity, V. Gupta, A. H. Romero, J. T. Krogel, K. Saritas, A. Fuhr, P. Ganesh, P. R. C. Kent, K. Yan, Y. Lin, S. Ji, B. Blaiszik, P. Reiser, P. Friederich, A. Agrawal, P. Tiwary, E. Beyerle, P. Minch, T. D. Rhone, I. Takeuchi, R. B. Wexler, A. Mannodi-Kanakkithodi, E. Ertekin, A. Mishra, N. Mathew, M. Wood, A. D. Rohskopf, J. Hattrick-Simpers, S.-H. Wang, L. E. K. Achenie, H. Xin, M. Williams, A. J. Biacchi, and F. Tavazza, JARVIS-Leaderboard: A large scale benchmark of materials design methods, npj Comput Mater 10
2024
Later among the works it cites.
2024
Later among the works it cites.
P. Lin, P. Chen, R. Jiao, Q. Mo, C. Jianhuan, W. Huang, Y. Liu, D. Huang, and Y. Lu, Equivariant diffusion for crystal structure prediction, in Proceedings of the 41st International Conference on Machine Learning , Proceedings of Machine Learning Research, Vol. 235, edited by R. Salakhutdinov, Z. Kolter, K. Heller, A. Weller, N. Oliver, J. Scarlett, and F. Berkenkamp (PMLR, Cambridge, MA, USA, 2024) pp. 29890–29913
2024
Later among the works it cites.
2024
Later among the works it cites.
X. Luo, Z. Wang, P. Gao, J. Lv, Y. Wang, C. Chen, and Y. Ma, Deep learning generative model for crystal structure prediction, npj Comput Mater 10
2024
Later among the works it cites.
C.-Y. Ye, H.-M. Weng, and Q.-S. Wu, Con-CDVAE: A method for the conditional generation of crystal structures, Computational Materials Today 1
2024
Later among the works it cites.
P. Govindarajan, S. Miret, J. Rector-Brooks, M. Phielipp, J. Rajendran, and S. Chandar, Learning conditional policies for crystal design using offline reinforcement learning, Digital Discovery 3
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
K. Choudhary, Atomgpt: Atomistic generative pretrained transformer for forward and inverse materials design, J. Phys. Chem. Lett. 15
2024
Later among the works it cites.
L. M. Antunes, K. T. Butler, and R. Grau-Crespo, Crystal structure generation with autoregressive large language modeling, Nature Commun. 15
2024
Later among the works it cites.
2024
Later among the works it cites.
F. Liu, Z. Chen, T. Liu, R. Song, Y. Lin, J. J. Turner, and C. Jia, Self-supervised generative models for crystal structures, iScience 27
2024
Later among the works it cites.
L. Trung, X. Zhang, Z. Jie, P. Sun, X. Jin, and H. Li, Reft: Reasoning with reinforced fine-tuning, in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , edited by L.-W. Ku, A. Martins, and V. Srikumar (Association for Computational Linguistics, Bangkok, Thailand, 2024) pp. 7601–7614
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
K. Murphy, Reinforcement learning: A comprehensive overview (2024), arXiv:2412.05265
2024
Later among the works it cites.
J. Li, C. Zhang, W. Zhu, and Y. Ren, A Comprehensive Survey of Image Generation Models Based on Deep Learning, Ann. Data. Sci. 12
2025
Closest in time.
C. Zeni, R. Pinsler, D. Zügner, A. Fowler, M. Horton, X. Fu, Z. Wang, A. Shysheya, J. Crabbé, S. Ueda, R. Sordillo, L. Sun, J. Smith, B. Nguyen, H. Schulz, S. Lewis, C.-W. Huang, Z. Lu, Y. Zhou, H. Yang, H. Hao, J. Li, C. Yang, W. Li, R. Tomioka, and T. Xie, A generative model for inorganic materials design, Nature 639
2025
Closest in time.
X.-Q. Han, Z. Ouyang, P.-J. Guo, H. Sun, Z.-F. Gao, and Z.-Y. Lu, Invdesflow: An ai-driven materials inverse design workflow to explore possible high-temperature superconductors, Chin. Phys. Lett. (2025)
2025
Closest in time.