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Vector Field Oriented Diffusion Model for Crystal Material Generation

Vector Field Oriented Diffusion Model for Crystal Material Generation

20 December 2023
Astrid Klipfel
Yael Fregier
A. Sayede
Zied Bouraoui
    DiffM
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Papers citing "Vector Field Oriented Diffusion Model for Crystal Material Generation"

14 / 14 papers shown
Title
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
Daniel Levy
Siba Smarak Panigrahi
Sékou-Oumar Kaba
Qiang Zhu
Kin Long Kelvin Lee
Mikhail Galkin
Santiago Miret
Siamak Ravanbakhsh
429
15
0
05 Feb 2025
Structure-based Drug Design with Equivariant Diffusion Models
Structure-based Drug Design with Equivariant Diffusion Models
Arne Schneuing
Yuanqi Du
Charles Harris
Arian R. Jamasb
Ilia Igashov
...
Pietro Lio
Carla P. Gomes
Max Welling
Michael M. Bronstein
B. Correia
DiffM
79
215
0
24 Oct 2022
Diffusion probabilistic modeling of protein backbones in 3D for the
  motif-scaffolding problem
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
Brian L. Trippe
Jason Yim
D. Tischer
D. Baker
Tamara Broderick
Regina Barzilay
Tommi Jaakkola
DiffM
50
236
0
08 Jun 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDL
DiffM
125
511
0
06 Mar 2022
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
DiffM
BDL
237
246
0
12 Oct 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
83
1,015
0
19 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
214
199
0
01 Feb 2021
An invertible crystallographic representation for general inverse design
  of inorganic crystals with targeted properties
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties
Zekun Ren
S. Tian
Juhwan Noh
Felipe Oviedo
G. Xing
...
Qianxiao Li
Senthilnath Jayavelu
K. Hippalgaonkar
Yousung Jung
Tonio Buonassisi
AI4CE
60
134
0
15 May 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph
  Generation
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Chence Shi
Minkai Xu
Zhaocheng Zhu
Weinan Zhang
Ming Zhang
Jian Tang
158
438
0
26 Jan 2020
Study of Deep Generative Models for Inorganic Chemical Compositions
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide Sawada
Koji Morikawa
Mikiya Fujii
GAN
49
13
0
25 Oct 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Jordan Hoffmann
Louis Maestrati
Yoshihide Sawada
Jian Tang
Jean Michel D. Sellier
Yoshua Bengio
DiffM
3DV
67
67
0
03 Sep 2019
Symmetry-adapted generation of 3d point sets for the targeted discovery
  of molecules
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
Niklas W. A. Gebauer
M. Gastegger
Kristof T. Schütt
104
208
0
02 Jun 2019
Neural Message Passing with Edge Updates for Predicting Properties of
  Molecules and Materials
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials
Peter Bjørn Jørgensen
K. Jacobsen
Mikkel N. Schmidt
56
82
0
08 Jun 2018
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
255
6,887
0
12 Mar 2015
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