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Crystal Diffusion Variational Autoencoder for Periodic Material
  Generation
v1v2v3 (latest)

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

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

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

50 / 131 papers shown
Title
CrystalICL: Enabling In-Context Learning for Crystal Generation
CrystalICL: Enabling In-Context Learning for Crystal Generation
Ruobing Wang
Qiaoyu Tan
Yili Wang
Ying Wang
Xin Wang
8
0
0
27 Aug 2025
CrystalDiT: A Diffusion Transformer for Crystal Generation
CrystalDiT: A Diffusion Transformer for Crystal Generation
Xiaohan Yi
Guikun Xu
Xi Xiao
Zhong Zhang
Liu Liu
Yatao Bian
Peilin Zhao
12
0
0
13 Aug 2025
Artificial Intelligence and Generative Models for Materials Discovery -- A Review
Artificial Intelligence and Generative Models for Materials Discovery -- A Review
Albertus Denny Handoko
Riko I Made
AI4CE
56
0
0
05 Aug 2025
Autonomous Inorganic Materials Discovery via Multi-Agent Physics-Aware Scientific Reasoning
Autonomous Inorganic Materials Discovery via Multi-Agent Physics-Aware Scientific Reasoning
Alireza Ghafarollahi
Markus J. Buehler
LRM
44
0
1
04 Aug 2025
Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling
Mouyang Cheng
Weiliang Luo
Hao Tang
Bowen Yu
Yongqiang Cheng
Weiwei Xie
Ju Li
Heather J. Kulik
Mingda Li
DiffM
24
0
0
26 Jul 2025
Gradient-based grand canonical optimization enabled by graph neural networks with fractional atomic existence
Gradient-based grand canonical optimization enabled by graph neural networks with fractional atomic existence
Mads-Peter V. Christiansen
Bjørk Hammer
11
0
0
25 Jul 2025
Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design
Perovskite-R1: A Domain-Specialized LLM for Intelligent Discovery of Precursor Additives and Experimental Design
X. Wang
Zhi-Rui Chen
Peng-Jie Guo
Ze-Feng Gao
Cheng Mu
Zhong-Yi Lu
36
1
0
22 Jul 2025
Universal crystal material property prediction via multi-view geometric fusion in graph transformers
Universal crystal material property prediction via multi-view geometric fusion in graph transformers
Liang Zhang
Kong Chen
Yuen Wu
AI4CE
30
0
0
21 Jul 2025
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
Wangzhi Zhan
Jianpeng Chen
Dongqi Fu
Dawei Zhou
AI4CE
106
0
0
05 Jun 2025
Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists
Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists
Lianhao Zhou
Hongyi Ling
Keqiang Yan
Kaiji Zhao
X. Qian
Raymundo Arroyave
Xiaofeng Qian
Shuiwang Ji
LLMAGAI4CE
114
0
0
05 Jun 2025
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework
Can Polat
Hasan Kurban
Erchin Serpedin
Mustafa Kurban
104
0
0
30 May 2025
Flexible MOF Generation with Torsion-Aware Flow Matching
N. Kim
Seongsu Kim
Sungsoo Ahn
AI4CE
241
1
0
23 May 2025
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
Zhixun Li
Bin Cao
Rui Jiao
Liang Wang
Ding Wang
...
Qiang Liu
Yu Rong
Liang Wang
Tong-yi Zhang
Jeffrey Xu Yu
3DVAI4CE
172
3
0
22 May 2025
Space Group Equivariant Crystal Diffusion
Space Group Equivariant Crystal Diffusion
Rees Chang
Angela Pak
Alex Guerra
Ni Zhan
Nick Richardson
Elif Ertekin
Ryan P. Adams
129
0
0
16 May 2025
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials
Xiao-Qi Han
Peng-Jie Guo
Ze-Feng Gao
Hao Sun
Zhong-Yi Lu
AI4CE
149
1
0
14 May 2025
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery
Jianpeng Chen
Wangzhi Zhan
Haohui Wang
Z. Jia
Jingru Gan
...
Lifu Huang
Muhao Chen
Ling Li
Wei Wang
Dawei Zhou
226
1
0
08 May 2025
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
Ayush Jain
Rampi Ramprasad
361
0
0
24 Apr 2025
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
Haosheng Xu
Dongheng Qian
Zhixuan Liu
Yadong Jiang
Jing Wang
100
1
0
17 Apr 2025
MatWheel: Addressing Data Scarcity in Materials Science Through Synthetic Data
MatWheel: Addressing Data Scarcity in Materials Science Through Synthetic Data
Wentao Li
Yizhe Chen
Jiangjie Qiu
Xinyu Wang
SyDa
68
0
0
12 Apr 2025
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
Chen Liang
Chen Liang
Jiang Guo
R. Tamura
Zetian Mao
Koji Tsuda
90
0
0
09 Apr 2025
Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations
Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations
Prachi
Sumit Bhatia
Srikanta Bedathur
134
0
0
04 Apr 2025
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Improving Equivariant Networks with Probabilistic Symmetry Breaking
Hannah Lawrence
Vasco Portilheiro
Yan Zhang
Sékou-Oumar Kaba
195
7
0
27 Mar 2025
Symmetry-Informed Graph Neural Networks for Carbon Dioxide Isotherm and Adsorption Prediction in Aluminum-Substituted Zeolites
Symmetry-Informed Graph Neural Networks for Carbon Dioxide Isotherm and Adsorption Prediction in Aluminum-Substituted Zeolites
M. Petković
José-Manuel Vicent Luna
El\=ıza Beate Dinne
Vlado Menkovski
Sofía Calero
AI4CE
107
0
0
26 Mar 2025
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Uni-3DAR: Unified 3D Generation and Understanding via Autoregression on Compressed Spatial Tokens
Shuqi Lu
Haowei Lin
Lin Yao
Zhifeng Gao
Xiaohong Ji
Weinan E
Linfeng Zhang
Guolin Ke
173
1
0
20 Mar 2025
Siamese Foundation Models for Crystal Structure Prediction
Liming Wu
Wenbing Huang
Rui Jiao
Jianxing Huang
Liwei Liu
...
Hao Sun
Yang Liu
F. Sun
Yuxiang Ren
J. Wen
141
2
0
13 Mar 2025
On the Generalization Properties of Diffusion Models
On the Generalization Properties of Diffusion Models
Puheng Li
Zhong Li
Huishuai Zhang
Jiang Bian
329
47
0
13 Mar 2025
A practical guide to machine learning interatomic potentials -- Status and future
Ryan Jacobs
D. Morgan
Siamak Attarian
Jun Meng
Chen Shen
...
K. J. Schmidt
So Takamoto
Aidan Thompson
Julia Westermayr
Brandon M. Wood
142
24
0
12 Mar 2025
UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials
UniGenX: a unified generative foundation model that couples sequence, structure and function to accelerate scientific design across proteins, molecules and materials
Gongbo Zhang
Yongbin Li
Renqian Luo
Pipi Hu
Zeru Zhao
...
Xiuyuan Hu
Li-ming Yuan
Lei Chen
Haiguang Liu
Tao Qin
DiffM
130
3
0
09 Mar 2025
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya K. Joshi
Xiang Fu
Yi-Lun Liao
Vahe Gharakhanyan
Benjamin Kurt Miller
Anuroop Sriram
Zachary W. Ulissi
DiffM
274
16
0
05 Mar 2025
Periodic Materials Generation using Text-Guided Joint Diffusion Model
Kishalay Das
Subhojyoti Khastagir
Pawan Goyal
Seung-Cheol Lee
S. Bhattacharjee
Niloy Ganguly
DiffM
118
5
0
01 Mar 2025
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
Keqiang Yan
Xiner Li
Hongyi Ling
Kenna Ashen
Carl Edwards
...
Marinka Zitnik
Heng Ji
Xiaofeng Qian
X. Qian
Shuiwang Ji
136
7
0
28 Feb 2025
MatterChat: A Multi-Modal LLM for Material Science
MatterChat: A Multi-Modal LLM for Material Science
Yingheng Tang
Wenbin Xu
Jie Cao
Jianzhu Ma
Weilu Gao
Steve Farrell
Benjamin Erichson
Michael W. Mahoney
Andy Nonaka
279
16
0
18 Feb 2025
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal
Aviv Netanyahu
Kevin P. Greenman
Pulkit Agrawal
Rafael Gómez-Bombarelli
OODD
122
1
0
09 Feb 2025
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
739
22
0
05 Feb 2025
ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity
ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity
Yuji Tone
Masatoshi Hanai
Mitsuaki Kawamura
Kenjiro Taura
Toyotaro Suzumura
93
1
0
04 Feb 2025
A Periodic Bayesian Flow for Material Generation
A Periodic Bayesian Flow for Material Generation
Hanlin Wu
Yuxuan Song
Jingjing Gong
Ziyao Cao
Y. Ouyang
Jianbing Zhang
Hao Zhou
Wei-Ying Ma
Jingjing Liu
DiffM
213
6
0
04 Feb 2025
Open Materials Generation with Stochastic Interpolants
Open Materials Generation with Stochastic Interpolants
Philipp Hoellmer
Thomas Egg
Maya M. Martirossyan
Eric Fuemmeler
Zeren Shui
...
George Karypis
Mark K. Transtrum
Richard G. Hennig
E. Tadmor
Stefano Martiniani
AI4CE
244
5
0
04 Feb 2025
Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
Shrinidhi Kumbhar
Venkatesh Mishra
Kevin Coutinho
Divij Handa
Ashif Iquebal
Chitta Baral
178
9
0
23 Jan 2025
Establishing baselines for generative discovery of inorganic crystals
Establishing baselines for generative discovery of inorganic crystals
N. Szymanski
Christopher J. Bartel
124
2
0
04 Jan 2025
Efficient Symmetry-Aware Materials Generation via Hierarchical
  Generative Flow Networks
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks
T. Nguyen
Sherif Abdulkader Tawfik
Truyen Tran
Sunil Gupta
Santu Rana
Svetha Venkatesh
110
1
0
06 Nov 2024
FlowLLM: Flow Matching for Material Generation with Large Language
  Models as Base Distributions
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
Anuroop Sriram
Benjamin Kurt Miller
Ricky T. Q. Chen
Brandon M. Wood
AI4CE
138
30
0
30 Oct 2024
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
Qianggang Ding
Santiago Miret
Bang Liu
MoE
95
12
0
26 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Cunchun Li
Congcong Wen
Hui Lin
Xiang Wang
205
3
0
09 Oct 2024
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
N. Kim
Seongsu Kim
Minsu Kim
Jinkyoo Park
Sungsoo Ahn
AI4CE
194
4
0
07 Oct 2024
Generative Hierarchical Materials Search
Generative Hierarchical Materials Search
Sherry Yang
Simon L. Batzner
Ruiqi Gao
Muratahan Aykol
Alexander L. Gaunt
Brendan McMorrow
Danilo J. Rezende
Dale Schuurmans
Igor Mordatch
E. D. Cubuk
AI4CE
124
8
0
10 Sep 2024
Exploring Selective Layer Fine-Tuning in Federated Learning
Exploring Selective Layer Fine-Tuning in Federated Learning
Yuchang Sun
Yuexiang Xie
Bolin Ding
Yaliang Li
Jun Zhang
FedML
100
5
0
28 Aug 2024
Conformal Diffusion Models for Individual Treatment Effect Estimation
  and Inference
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
Hengrui Cai
Huaqing Jin
Lexin Li
94
1
0
02 Aug 2024
3D Vessel Graph Generation Using Denoising Diffusion
3D Vessel Graph Generation Using Denoising Diffusion
Chinmay Prabhakar
Suprosanna Shit
Fabio Musio
Kaiyuan Yang
Tamaz Amiranashvili
Johannes C. Paetzold
Hongwei Bran Li
Bjoern Menze
DiffMMedIm
91
8
0
08 Jul 2024
Establishing Deep InfoMax as an effective self-supervised learning
  methodology in materials informatics
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics
Michael Moran
Vladimir V. Gusev
M. Gaultois
Dmytro Antypov
M. Rosseinsky
AI4CE
106
0
0
30 Jun 2024
LLMatDesign: Autonomous Materials Discovery with Large Language Models
LLMatDesign: Autonomous Materials Discovery with Large Language Models
Shuyi Jia
Chao Zhang
Victor Fung
144
21
0
19 Jun 2024
123
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