paper-with-me

홈 › Papers

Unified Model for Crystalline Material Generation

2023-06-07 · Astrid Klipfel, Yaël Frégier, Adlane Sayede, Zied Bouraoui

One of the greatest challenges facing our society is the discovery of new innovative crystal materials with specific properties. Recently, the problem of generating crystal materials has received increasing attention, however, it remains unclear to what extent, or in what way, we can develop generative models that consider both the periodicity and equivalence geometric of crystal structures. To alleviate this issue, we propose two unified models that act at the same time on crystal lattice and atomic positions using periodic equivariant architectures. Our models are capable to learn any arbitrary crystal lattice deformation by lowering the total energy to reach thermodynamic stability. Code and data are available at https://github.com/aklipf/GemsNet.

📄 PDF Abstract BibTeX arXiv:2306.04510

Code (1)

aklipf/gemsnet 공식 구현 pytorch

Tasks

model

Similar Papers 제목 키워드 기반

Space Group Informed Transformer for Crystalline Materials Generation

2024-03-23 · Zhendong Cao, Xiaoshan Luo, Jian Lv, Lei Wang

We introduce CrystalFormer, a transformer-based autoregressive model specifically designed for space group-controlled generation of crystalline materials. The incorporation of space group symmetry significantly simplifie…

Symmetry-Aware Bayesian Flow Networks for Crystal Generation

2025-02-05 · Laura Ruple, Luca Torresi, Henrik Schopmans, Pascal Friederich

The discovery of new crystalline materials is essential to scientific and technological progress. However, traditional trial-and-error approaches are inefficient due to the vast search space. Recent advancements in machi…

PolyCrysDiff: Controllable Generation of Three-Dimensional Computable Polycrystalline Material Structures

2026-03-12 · Chi Chen, Tianle Jiang, Xiaodong Wei, Yanming Wang arxiv

The three-dimensional (3D) microstructures of polycrystalline materials exert a critical influence on their mechanical and physical properties. Realistic, controllable construction of these microstructures is a key step …

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

2023-10-24 · NeurIPS 2023 11 · Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun 외

The density of states (DOS) is a spectral property of crystalline materials, which provides fundamental insights into various characteristics of the materials. While previous works mainly focus on obtaining high-quality …

Kinetic Langevin Diffusion for Crystalline Materials Generation

2025-07-04 · François Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia Lastra 외 arxiv

Generative modeling of crystalline materials using diffusion models presents a series of challenges: the data distribution is characterized by inherent symmetries and involves multiple modalities, with some defined on sp…