ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.06197
  4. Cited By
Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
v1v2v3 (latest)

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

12 October 2021
Tian Xie
Xiang Fu
O. Ganea
Regina Barzilay
Tommi Jaakkola
    DiffMBDL
ArXiv (abs)PDFHTML

Papers citing "Crystal Diffusion Variational Autoencoder for Periodic Material Generation"

50 / 122 papers shown
Title
Space Group Informed Transformer for Crystalline Materials Generation
Space Group Informed Transformer for Crystalline Materials Generation
Zhendong Cao
Xiaoshan Luo
Jianwei Lv
Lei Wang
AI4CE
91
19
0
23 Mar 2024
Physics-Informed Diffusion Models
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffMAI4CE
184
20
0
21 Mar 2024
Graph Neural Networks for Carbon Dioxide Adsorption Prediction in
  Aluminium-Exchanged Zeolites
Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminium-Exchanged Zeolites
Marko Petković
J. M. Vicent‐Luna
Vlado Menkovski
Sofía Calero
56
0
0
19 Mar 2024
Complete and Efficient Graph Transformers for Crystal Material Property
  Prediction
Complete and Efficient Graph Transformers for Crystal Material Property Prediction
Keqiang Yan
Cong Fu
Xiaofeng Qian
Xiaoning Qian
Shuiwang Ji
118
23
0
18 Mar 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
Jiaqi Han
Jiacheng Cen
Liming Wu
Zongzhao Li
Xiangzhe Kong
...
Zhewei Wei
Deli Zhao
Yu Rong
Wenbing Huang
Wenbing Huang
AI4CE
166
25
0
01 Mar 2024
Pretraining Strategy for Neural Potentials
Pretraining Strategy for Neural Potentials
Zehua Zhang
Zijie Li
A. Farimani
AI4CE
76
0
0
24 Feb 2024
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset
  for Advancing Graph Machine Learning
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Ulrik Friis-Jensen
Frederik L. Johansen
A. Anker
Erik B. Dam
Kirsten M. Ø. Jensen
Raghavendra Selvan
AI4CE
104
4
0
20 Feb 2024
Zero Shot Molecular Generation via Similarity Kernels
Zero Shot Molecular Generation via Similarity Kernels
Rokas Elijosius
Fabian Zills
Ilyes Batatia
Sam Walton Norwood
D. P. Kovács
Christian Holm
Gábor Csányi
DiffM
68
4
0
13 Feb 2024
Are LLMs Ready for Real-World Materials Discovery?
Are LLMs Ready for Real-World Materials Discovery?
Santiago Miret
N. M. A. Krishnan
95
34
0
07 Feb 2024
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Nate Gruver
Anuroop Sriram
Andrea Madotto
A. Wilson
C. L. Zitnick
Zachary W. Ulissi
65
67
0
06 Feb 2024
Space Group Constrained Crystal Generation
Space Group Constrained Crystal Generation
Rui Jiao
Wenbing Huang
Yu Liu
Deli Zhao
Yang Liu
81
35
0
06 Feb 2024
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending
  Scheduling
Diffusion Model-Based Multiobjective Optimization for Gasoline Blending Scheduling
Wenxuan Fang
Wei Du
Renchu He
Yang Tang
Yaochu Jin
Gary G. Yen
DiffM
65
6
0
04 Feb 2024
Accelerating Material Property Prediction using Generically Complete
  Isometry Invariants
Accelerating Material Property Prediction using Generically Complete Isometry Invariants
Jonathan Balasingham
Viktor Zamaraev
V. Kurlin
75
5
0
22 Jan 2024
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material
  Property Prediction
ADA-GNN: Atom-Distance-Angle Graph Neural Network for Crystal Material Property Prediction
Jiao Huang
Qianli Xing
Jinglong Ji
Bo Yang
48
3
0
22 Jan 2024
Generative Model for Constructing Reaction Path from Initial to Final
  States
Generative Model for Constructing Reaction Path from Initial to Final States
Akihide Hayashi
So Takamoto
Ju Li
Daisuke Okanohara
70
2
0
19 Jan 2024
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction
Qingsi Lai
Lin Yao
Zhifeng Gao
Siyuan Liu
Hongshuai Wang
...
Di He
Liwei Wang
Cheng Wang
Guolin Ke
Guolin Ke
73
8
0
08 Jan 2024
Vector Field Oriented Diffusion Model for Crystal Material Generation
Vector Field Oriented Diffusion Model for Crystal Material Generation
Astrid Klipfel
Yael Fregier
A. Sayede
Zied Bouraoui
DiffM
44
6
0
20 Dec 2023
Spectroscopy-Guided Discovery of Three-Dimensional Structures of
  Disordered Materials with Diffusion Models
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
H. Kwon
Tim Hsu
Wenyu Sun
Wonseok Jeong
Fikret Aydin
...
Xiao Chen
Matthew R. Carbone
Deyu Lu
Fei Zhou
Tuan Anh Pham
DiffM
92
11
0
09 Dec 2023
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with
  Denoising Diffusion Probabilistic Models
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models
Qiang Liu
Nils Thuerey
DiffMAI4CE
74
18
0
08 Dec 2023
PerCNet: Periodic Complete Representation for Crystal Graphs
PerCNet: Periodic Complete Representation for Crystal Graphs
Jiao Huang
Qianli Xing
Jinglong Ji
Bo Yang
75
1
0
03 Dec 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative
  Diffusion Models
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
Tsun-Hsuan Wang
Juntian Zheng
Pingchuan Ma
Yilun Du
Byungchul Kim
Andrew Spielberg
Josh Tenenbaum
Chuang Gan
Daniela Rus
AI4CE
82
26
0
28 Nov 2023
Scalable Diffusion for Materials Generation
Scalable Diffusion for Materials Generation
Mengjiao Yang
KwangHwan Cho
Amil Merchant
Pieter Abbeel
Dale Schuurmans
Igor Mordatch
E. D. Cubuk
85
43
0
18 Oct 2023
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
Xiang Fu
Tian Xie
Andrew S. Rosen
Tommi Jaakkola
Jake A. Smith
DiffM
78
12
0
16 Oct 2023
Latent Conservative Objective Models for Data-Driven Crystal Structure
  Prediction
Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction
Han Qi
Xinyang Geng
Stefano Rando
Iku Ohama
Aviral Kumar
Sergey Levine
DiffM
76
3
0
16 Oct 2023
Data-Driven Score-Based Models for Generating Stable Structures with
  Adaptive Crystal Cells
Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells
Arsen Sultanov
J. Crivello
Tabea Rebafka
Nataliya Sokolovska
DiffM
70
6
0
16 Oct 2023
Crystal-GFN: sampling crystals with desirable properties and constraints
Crystal-GFN: sampling crystals with desirable properties and constraints
Mila AI4Science
Alex Hernandez-Garcia
Alexandre Duval
Alexandra Volokhova
Yoshua Bengio
Divya Sharma
P. Carrier
Yasmine Benabed
Michal Koziarski
Victor Schmidt
249
19
0
07 Oct 2023
Score dynamics: scaling molecular dynamics with picoseconds timestep via
  conditional diffusion model
Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion model
Tim Hsu
Babak Sadigh
Vasily V. Bulatov
Fei Zhou
58
14
0
02 Oct 2023
Generative Design of inorganic compounds using deep diffusion language
  models
Generative Design of inorganic compounds using deep diffusion language models
Rongzhi Dong
Nihang Fu
dirisuriya M. D. Siriwardane
Jianjun Hu
DiffM
68
1
0
30 Sep 2023
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials
  Modeling
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling
Kin Long Kelvin Lee
Carmelo Gonzales
Marcel Nassar
Matthew Spellings
Mikhail Galkin
Santiago Miret
78
16
0
12 Sep 2023
Materials Informatics Transformer: A Language Model for Interpretable
  Materials Properties Prediction
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
Hongshuo Huang
Rishikesh Magar
Chang Xu
A. Farimani
AI4CE
65
4
0
30 Aug 2023
Evaluating the diversity and utility of materials proposed by generative
  models
Evaluating the diversity and utility of materials proposed by generative models
Alexander New
Michael Pekala
Elizabeth A. Pogue
Nam Q. Le
Janna Domenico
C. Piatko
Christopher D. Stiles
AI4CE
61
1
0
09 Aug 2023
Diffusion probabilistic models enhance variational autoencoder for
  crystal structure generative modeling
Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
T. Pakornchote
Natthaphon Choomphon-anomakhun
Sorrjit Arrerut
C. Atthapak
S. Khamkaeo
Thiparat Chotibut
T. Bovornratanaraks
DiffM
73
19
0
04 Aug 2023
ChatMOF: An Autonomous AI System for Predicting and Generating
  Metal-Organic Frameworks
ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks
Y. Kang
Jihan Kim
AI4CELLMAG
80
13
0
01 Aug 2023
Crystal Structure Prediction by Joint Equivariant Diffusion
Crystal Structure Prediction by Joint Equivariant Diffusion
Rui Jiao
Wen-bing Huang
Peijia Lin
Jiaqi Han
Pin Chen
Yutong Lu
Yang Liu
DiffM
93
70
0
30 Jul 2023
Towards Symmetry-Aware Generation of Periodic Materials
Towards Symmetry-Aware Generation of Periodic Materials
Youzhi Luo
Chengkai Liu
Shuiwang Ji
DiffM
94
25
0
06 Jul 2023
StrainTensorNet: Predicting crystal structure elastic properties using
  SE(3)-equivariant graph neural networks
StrainTensorNet: Predicting crystal structure elastic properties using SE(3)-equivariant graph neural networks
T. Pakornchote
A. Ektarawong
Thiparat Chotibut
50
4
0
22 Jun 2023
A Systematic Survey in Geometric Deep Learning for Structure-based Drug
  Design
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design
Zaixin Zhang
Jiaxian Yan
Qi Liu
Enhong Chen
Marinka Zitnik
108
1
0
20 Jun 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and
  Crystalline Materials
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu
Weitao Du
Yanjing Li
Zhuoxinran Li
Zhiling Zheng
...
Anima Anandkumar
C. Borgs
J. Chayes
Hongyu Guo
Jian Tang
AI4CE
94
24
0
15 Jun 2023
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials
  Discovery
M2^22Hub: Unlocking the Potential of Machine Learning for Materials Discovery
Yuanqi Du
Yingheng Wang
Yin-Hua Huang
Jianan Canal Li
Yanqiao Zhu
T. Xie
Chenru Duan
J. Gregoire
Carla P. Gomes
63
8
0
14 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction
CrysMMNet: Multimodal Representation for Crystal Property Prediction
Kishalay Das
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
55
13
0
09 Jun 2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property
  Prediction
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Haomin Yu
Yanru Song
Jilin Hu
Chenjuan Guo
B. Yang
AI4CE
61
4
0
08 Jun 2023
Optimized Crystallographic Graph Generation for Material Science
Optimized Crystallographic Graph Generation for Material Science
Astrid Klipfel
Y. Frégier
A. Sayede
Zied Bouraoui
22
1
0
07 Jun 2023
Unified Model for Crystalline Material Generation
Unified Model for Crystalline Material Generation
Astrid Klipfel
Y. Frégier
A. Sayede
Zied Bouraoui
24
6
0
07 Jun 2023
Training Diffusion Models with Reinforcement Learning
Training Diffusion Models with Reinforcement Learning
Kevin Black
Michael Janner
Yilun Du
Ilya Kostrikov
Sergey Levine
EGVM
152
377
0
22 May 2023
Leveraging Language Representation for Material Recommendation, Ranking,
  and Exploration
Leveraging Language Representation for Material Recommendation, Ranking, and Exploration
Jiaxing Qu
Yuxuan Richard Xie
K. Ciesielski
Claire E. Porter
E. Toberer
Elif Ertekin
68
3
0
01 May 2023
A Survey on Graph Diffusion Models: Generative AI in Science for
  Molecule, Protein and Material
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang
Maryam Qamar
Taegoo Kang
Yuna Jung
Chenshuang Zhang
Sung-Ho Bae
Chaoning Zhang
DiffMMedIm
123
47
0
04 Apr 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to
  GPT-5 All You Need?
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
Chaoning Zhang
Chenshuang Zhang
Sheng Zheng
Yu Qiao
Chenghao Li
...
Lik-Hang Lee
Yang Yang
Heng Tao Shen
In So Kweon
Choong Seon Hong
186
170
0
21 Mar 2023
Diffusing the Optimal Topology: A Generative Optimization Approach
Diffusing the Optimal Topology: A Generative Optimization Approach
Giorgio Giannone
Faez Ahmed
DiffMAI4CE
41
11
0
17 Mar 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
Ewald-based Long-Range Message Passing for Molecular Graphs
Arthur Kosmala
Johannes Gasteiger
Nicholas Gao
Stephan Günnemann
129
30
0
08 Mar 2023
Denoise Pretraining on Nonequilibrium Molecules for Accurate and
  Transferable Neural Potentials
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
Yuyang Wang
Chang Xu
Zijie Li
A. Farimani
AAMLAI4CE
91
22
0
03 Mar 2023
Previous
123
Next