Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction | Paper Citation Record

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This paper cites write newline.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction write newline

Reference 1

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This paper cites J., and Welling, M.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction J., and Welling, M

Reference 2

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 3

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This paper cites E., Landis, D.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction E., Landis, D

Reference 4

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This paper cites E., Olsen, T., Datta, S., Landis, D.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction E., Olsen, T., Datta, S., Landis, D

Reference 5

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This paper cites and Ong, S.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and Ong, S

Reference 6

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 7

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This paper cites and DeCost, B.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and DeCost, B

Reference 8

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This paper cites J., Yildirim, B., Jain, A., and Cole, J.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction J., Yildirim, B., Jain, A., and Cole, J

Reference 9

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This paper cites Generative adversarial networks (gan) based efficient sampling of chemical composition space for inverse design of inorganic materials.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Generative adversarial networks (gan) based efficient sampling of chemical composition space for inverse design of inorganic materials

Reference 10

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This paper cites W., Butler, K.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction W., Butler, K

Reference 11

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This paper cites Stable computations with gaussian radial basis functions.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Stable computations with gaussian radial basis functions

Reference 12

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This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Se (3)-transformers: 3d roto-translation equivariant attention networks

Reference 13

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This paper cites T., and G \"u nnemann, S.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction T., and G \"u nnemann, S

Reference 14

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This paper cites Gemnet: Universal directional graph neural networks for molecules.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Gemnet: Universal directional graph neural networks for molecules

Reference 15

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This paper cites Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules

Reference 16

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 17

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This paper cites Generative adversarial nets.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Generative adversarial nets

Reference 18

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This paper cites Denoising diffusion probabilistic models.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Denoising diffusion probabilistic models

Reference 19

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This paper cites Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures

Reference 20

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and Kohn, W

Reference 21

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This paper cites G., Vignac, C., and Welling, M.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction G., Vignac, C., and Welling, M

Reference 22

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This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 23

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This paper cites P., Hautier, G., Chen, W., Richards, W.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction P., Hautier, G., Chen, W., Richards, W

Reference 24

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This paper cites H., Khaji, N., and Noorzad, A.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction H., Khaji, N., and Noorzad, A

Reference 25

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This paper cites Crystal structure prediction by joint equivariant diffusion.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Crystal structure prediction by joint equivariant diffusion

Reference 26

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This paper cites Effect of invariance requirements on the elastic strain energy of crystals with application to the diamond structure.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Effect of invariance requirements on the elastic strain energy of crystals with application to the diamond structure

Reference 27

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This paper cites H., Aspuru-Guzik, A., and Jung, Y.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction H., Aspuru-Guzik, A., and Jung, Y

Reference 28

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This paper cites Auto-Encoding Variational Bayes.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Auto-Encoding Variational Bayes

Reference 29

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This paper cites D., and Vecchi, M.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction D., and Vecchi, M

Reference 30

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This paper cites Clebsch--gordan nets: a fully fourier space spherical convolutional neural network.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Clebsch--gordan nets: a fully fourier space spherical convolutional neural network

Reference 31

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and Smidt, T

Reference 32

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This paper cites General invariance and equilibrium conditions for lattice dynamics in 1d, 2d, and 3d materials.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction General invariance and equilibrium conditions for lattice dynamics in 1d, 2d, and 3d materials

Reference 33

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction M., Opahle, I., Zhang, Y., Samathrakis, I., Shen, C., Gutfleisch, O., and Zhang, H

Reference 34

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction O., Oganov, A

Reference 35

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This paper cites S., Aykol, M., Cheon, G., and Cubuk, E.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction S., Aykol, M., Cheon, G., and Cubuk, E

Reference 36

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction S., Sanchez-Lengeling, B., Gregoire, J

Reference 37

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This paper cites CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks

Reference 38

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction A Binded VAE for Inorganic Material Generation

Reference 39

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 40

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 41

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties

Reference 42

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction u tt, K. T., Sauceda, H. E., Kindermans, P.-J., Tkatchenko, A., and M \

Reference 44

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and Ermon, S

Reference 45

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and Fabritiis, G

Reference 46

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This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 47

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Se (3)-equivariant prediction of molecular wavefunctions and electronic densities

Reference 48

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This paper cites Attention is all you need.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Attention is all you need

Reference 49

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction N., Kaiser, L

Reference 50

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 51

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This paper cites C., Zhao, X., Umemoto, K., Wentzcovitch, R., and Ho, K.-M.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction C., Zhao, X., Umemoto, K., Wentzcovitch, R., and Ho, K.-M

Reference 52

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This paper cites and Grossman, J.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction and Grossman, J

Reference 53

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This paper cites Crystal Diffusion Variational Autoencoder for Periodic Material Generation.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 54

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Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Unresolved cited work

Reference 55

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This paper cites Tripartite interaction representation algorithm for crystal graph neural networks.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction Tripartite interaction representation algorithm for crystal graph neural networks

Reference 56

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Observation ab6d936c-e08b-4fc2-a4e1-4242179c380b · outbound

This paper cites A generative model for inorganic materials design.

Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction A generative model for inorganic materials design

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