Fourier Transformers for Latent Crystallographic Diffusion and Generative Modeling

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References (48)

[1]
CrystalDiT: A Diffusion Transformer for Crystal Generation
2025Xiaohan Yi, Guikun Xu et al.
[2]
DiffCrysGen: A Score-Based Diffusion Model for Design of Diverse Inorganic Crystalline Materials
2025Sourav Mal, Subhankar Mishra et al.
[3]
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
2025Chaitanya K. Joshi, Xiang Fu et al.
[4]
Wyckoff Transformer: Generation of Symmetric Crystals
2025Nikita Kazeev, Wei Nong et al.
[5]
WyckoffDiff - A Generative Diffusion Model for Crystal Symmetry
2025Filip Ekstrom Kelvinius, Oskar B. Andersson et al.
[6]
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
2025∗. DanielLevy, Siba Smarak Panigrahi et al.
[7]
A generative model for inorganic materials design
2025Claudio Zeni, Robert Pinsler et al.
[8]
A Generation Framework with Strict Constraints for Crystal Materials Design
2024Chao Huang, Jiahui Chen et al.
[9]
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers
2024Izumi Takahara, Kiyou Shibata et al.
[10]
Space Group Informed Transformer for Crystalline Materials Generation
2024Zhendong Cao, Xiaoshan Luo et al.
[11]
Con-CDVAE: A method for the conditional generation of crystal structures
2024Cai-Yuan Ye, Hong-Ming Weng et al.
[12]
Deep learning generative model for crystal structure prediction
2024Xiaoshan Luo, Zhenyu Wang et al.
[13]
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
2024Nate Gruver, Anuroop Sriram et al.
[14]
Space Group Constrained Crystal Generation
2024Rui Jiao, Wenbing Huang et al.
[15]
Vector Field Oriented Diffusion Model for Crystal Material Generation
2023Astrid Klipfel, Yael Fregier et al.
[16]
An invertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning
2023Hang Xiao, Rong Li et al.
[17]
Data-Driven Score-Based Models for Generating Stable Structures with Adaptive Crystal Cells
2023Arsen Sultanov, J. Crivello et al.
[18]
Crystal-GFN: sampling crystals with desirable properties and constraints
2023Alex Hernandez-Garcia, Alexandre Duval et al.
[19]
A scalable crystal representation for reverse engineering of novel inorganic materials using deep generative models
2023Rochan Bajpai, Atharva Shukla et al.
[20]
Diffusion probabilistic models enhance variational autoencoder for crystal structure generative modeling
2023T. Pakornchote, Natthaphon Choomphon-anomakhun et al.

Showing 20 of 48 references

Founder's Pitch

"Innovative crystal generative model leveraging Fourier transforms and latent diffusion for material discovery."

Generative ModelingScore: 5View PDF ↗

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0-10 scale

High Potential

1/4 signals

2.5

Quick Build

1/4 signals

2.5

Series A Potential

1/4 signals

2.5

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