Enregistré dans:
| Auteurs principaux: | Song, Zhilong, Lu, Shuaihua, Ju, Minggang, Zhou, Qionghua, Wang, Jinlan |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2407.07016 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
T2MAT (text-to-materials): A universal agent for generating material structures with goal properties from a single sentence
par: Song, Zhilong, et autres
Publié: (2024)
par: Song, Zhilong, et autres
Publié: (2024)
LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery
par: Song, Zhilong, et autres
Publié: (2025)
par: Song, Zhilong, et autres
Publié: (2025)
Inverse Design of Promising Alloys for Electrocatalytic CO$_2$ Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm
par: Song, Zhilong, et autres
Publié: (2024)
par: Song, Zhilong, et autres
Publié: (2024)
Stability and Symmetry-Assured Crystal Structure Generation for Inverse Design of Photocatalysts in Water Splitting
par: Song, Zhilong, et autres
Publié: (2025)
par: Song, Zhilong, et autres
Publié: (2025)
Multi-Source Domain Transfer Learning for Accurate Property Prediction in Two-Dimensional Materials
par: Zhang, Huiyang, et autres
Publié: (2026)
par: Zhang, Huiyang, et autres
Publié: (2026)
Impact of Data Bias on Machine Learning for Crystal Compound Synthesizability Predictions
par: Davariashtiyani, Ali, et autres
Publié: (2024)
par: Davariashtiyani, Ali, et autres
Publié: (2024)
Attention Is Not All You Need for Diffraction
par: Baggett, Elizabeth J., et autres
Publié: (2026)
par: Baggett, Elizabeth J., et autres
Publié: (2026)
Synthesizability Prediction of Crystalline Structures with a Hierarchical Transformer and Uncertainty Quantification
par: Ebrahimzadeh, Danial, et autres
Publié: (2025)
par: Ebrahimzadeh, Danial, et autres
Publié: (2025)
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures
par: Xin, Yu, et autres
Publié: (2025)
par: Xin, Yu, et autres
Publié: (2025)
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
par: Jin, Emily, et autres
Publié: (2025)
par: Jin, Emily, et autres
Publié: (2025)
The JARVIS Infrastructure is All You Need for Materials Design
par: Choudhary, Kamal
Publié: (2025)
par: Choudhary, Kamal
Publié: (2025)
Crystal Structure Generation with Autoregressive Large Language Modeling
par: Antunes, Luis M., et autres
Publié: (2023)
par: Antunes, Luis M., et autres
Publié: (2023)
Two‐Dimensional Semiconductor–Metal Contact Engineering: Challenges and Strategies for High‐Performance Electronics
par: Xiaoshu Gong, et autres
Publié: (2025)
par: Xiaoshu Gong, et autres
Publié: (2025)
Persistence is All You Need -- A Topological Lens on Microstructural Characterization
par: Szemer, Maksym, et autres
Publié: (2025)
par: Szemer, Maksym, et autres
Publié: (2025)
Accelerating Discovery of Ternary Chiral Materials via Large-Scale Random Crystal Structure Prediction
par: Song, Jiexi, et autres
Publié: (2025)
par: Song, Jiexi, et autres
Publié: (2025)
A Synthesizability-Guided Pipeline for Materials Discovery
par: Prein, Thorben, et autres
Publié: (2025)
par: Prein, Thorben, et autres
Publié: (2025)
Siamese Foundation Models for Crystal Structure Prediction
par: Wu, Liming, et autres
Publié: (2025)
par: Wu, Liming, et autres
Publié: (2025)
SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction
par: Amariamir, Sasan, et autres
Publié: (2024)
par: Amariamir, Sasan, et autres
Publié: (2024)
MatLLMSearch: Crystal Structure Discovery with Evolution-Guided Large Language Models
par: Gan, Jingru, et autres
Publié: (2025)
par: Gan, Jingru, et autres
Publié: (2025)
Zero-field Anomalous Hall Effect in Bulk Single Crystal Mn3Ir
par: Gu, Xin, et autres
Publié: (2025)
par: Gu, Xin, et autres
Publié: (2025)
Equivariant Diffusion for Crystal Structure Prediction
par: Lin, Peijia, et autres
Publié: (2025)
par: Lin, Peijia, et autres
Publié: (2025)
Crystal Structure Prediction by Joint Equivariant Diffusion
par: Jiao, Rui, et autres
Publié: (2023)
par: Jiao, Rui, et autres
Publié: (2023)
CSPBench: a benchmark and critical evaluation of Crystal Structure Prediction
par: Wei, Lai, et autres
Publié: (2024)
par: Wei, Lai, et autres
Publié: (2024)
Challenges in Non-Polymeric Crystal Structure Prediction: Why a Geometric, Permutation-Invariant Loss is Needed
par: Jehanno, Emmanuel, et autres
Publié: (2025)
par: Jehanno, Emmanuel, et autres
Publié: (2025)
Bridging the Synthesizability Gap in Perovskites by Combining Computations, Literature Data, and PU Learning
par: Desai, Rushik, et autres
Publié: (2025)
par: Desai, Rushik, et autres
Publié: (2025)
Self-Supervised Generative Models for Crystal Structures
par: Liu, Fangze, et autres
Publié: (2023)
par: Liu, Fangze, et autres
Publié: (2023)
Enhancing Spatial Reasoning in Large Language Models for Metal-Organic Frameworks Structure Prediction
par: Pan, Mianzhi, et autres
Publié: (2026)
par: Pan, Mianzhi, et autres
Publié: (2026)
Predicting the Structure and Stability of Oxide Nanoscrolls from Dichalcogenide Precursors
par: Gupta, Adway, et autres
Publié: (2024)
par: Gupta, Adway, et autres
Publié: (2024)
Transformer-Enhanced Variational Autoencoder for Crystal Structure Prediction
par: Chen, Ziyi, et autres
Publié: (2025)
par: Chen, Ziyi, et autres
Publié: (2025)
CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
par: Liang, Chen, et autres
Publié: (2025)
par: Liang, Chen, et autres
Publié: (2025)
Efficient Crystal Structure Prediction Using Universal Neural Network Potential with Diversity Preservation in Genetic Algorithms
par: Shibayama, Takuya, et autres
Publié: (2025)
par: Shibayama, Takuya, et autres
Publié: (2025)
Synthesizability, hardness, and stacking order in multicomponent transition metal carbides from machine-learned potentials
par: Liu, Xin, et autres
Publié: (2026)
par: Liu, Xin, et autres
Publié: (2026)
CrystalFormer-CSP: Thinking Fast and Slow for Crystal Structure Prediction
par: Cao, Zhendong, et autres
Publié: (2025)
par: Cao, Zhendong, et autres
Publié: (2025)
Predicting the future applications of any stoichiometric inorganic material through learning from past literature
par: Wu, Yu, et autres
Publié: (2024)
par: Wu, Yu, et autres
Publié: (2024)
High-Entropy Skutterudites as Thermoelectrics: Potential Synthesizability, Enhanced Stability and Band Convergence via the Cocktail Effect
par: Plata, Jose J., et autres
Publié: (2025)
par: Plata, Jose J., et autres
Publié: (2025)
ContinuouSP: Generative Model for Crystal Structure Prediction with Invariance and Continuity
par: Tone, Yuji, et autres
Publié: (2025)
par: Tone, Yuji, et autres
Publié: (2025)
Hydrazine-Free Precursor for Solution-Processed All-Inorganic Se and Se1-xTex Photovoltaics
par: Alfieri, Adam D., et autres
Publié: (2025)
par: Alfieri, Adam D., et autres
Publié: (2025)
MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching
par: Zeng, Cheng, et autres
Publié: (2026)
par: Zeng, Cheng, et autres
Publié: (2026)
OpenCSP: A Deep Learning Framework for Crystal Structure Prediction from Ambient to High Pressure
par: Wang, Yinan, et autres
Publié: (2025)
par: Wang, Yinan, et autres
Publié: (2025)
Formation Energy Prediction of Material Crystal Structures using Deep Learning
par: Torlao, V., et autres
Publié: (2024)
par: Torlao, V., et autres
Publié: (2024)
Documents similaires
-
T2MAT (text-to-materials): A universal agent for generating material structures with goal properties from a single sentence
par: Song, Zhilong, et autres
Publié: (2024) -
LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery
par: Song, Zhilong, et autres
Publié: (2025) -
Inverse Design of Promising Alloys for Electrocatalytic CO$_2$ Reduction via Generative Graph Neural Networks Combined with Bird Swarm Algorithm
par: Song, Zhilong, et autres
Publié: (2024) -
Stability and Symmetry-Assured Crystal Structure Generation for Inverse Design of Photocatalysts in Water Splitting
par: Song, Zhilong, et autres
Publié: (2025) -
Multi-Source Domain Transfer Learning for Accurate Property Prediction in Two-Dimensional Materials
par: Zhang, Huiyang, et autres
Publié: (2026)