:: Library Catalog

Omslagsbillede

Saved in:

Bibliografiske detaljer
Hovedforfatter:	Turningl
Format:	Recurso digital
Sprog:
Udgivet:	Zenodo 2026
Online adgang:	https://doi.org/10.5281/zenodo.19903778
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Universal crystal material property prediction via multi-view geometric fusion in graph transformers
af: Zhang, Liang, et al.
Udgivet: (2025)

Quantum geometrical properties of topological materials
af: Chen, Wei
Udgivet: (2024)

Beyond geometrical screening in predicting two-dimensional materials
af: Ono, Shota
Udgivet: (2026)

Enhancing material property prediction with ensemble deep graph convolutional networks
af: Rahman, Chowdhury Mohammad Abid, et al.
Udgivet: (2024)

A multimodal personality prediction framework based on adaptive graph transformer network and multi‐task learning
af: Rongquan Wang, et al.
Udgivet: (2025)

Mechanical properties and predictive analysis of multi‐material polypropylene‐glass fiber sandwich structures produced by material extrusion
af: Julia Utz, et al.
Udgivet: (2025)

PRISM: Periodic Representation with multIscale and Similarity graph Modelling for enhanced crystal structure property prediction
af: Solé, Àlex, et al.
Udgivet: (2025)

A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs
af: Chang, Yue, et al.
Udgivet: (2026)

Coarse-grained crystal graph neural networks for reticular materials design
af: Korolev, Vadim, et al.
Udgivet: (2023)

DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules
af: Du, Hongwei, et al.
Udgivet: (2025)

In‐situ TEM investigation on the crystallization transformation process of rare earth oxide luminescent materials
af: Zhipeng Xu, et al.
Udgivet: (2025)

Microscopic view of materials properties of liquids: An atomic scale perspective
af: Moon, Jaeyun
Udgivet: (2026)

Improving realistic material property prediction using domain adaptation based machine learning
af: Hu, Jeffrey, et al.
Udgivet: (2023)

Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
af: Dai, Wenfeng, et al.
Udgivet: (2025)

Discovery and recovery of crystalline materials with property-conditioned transformers
af: Bone, Cyprien, et al.
Udgivet: (2025)

On the geometric properties of multi-operator two-phase elliptic measure
af: Goering, Max, et al.
Udgivet: (2025)

Instrument for in situ hard x-ray nanobeam characterization during epitaxial crystallization and materials transformations
af: Marks, Samuel D., et al.
Udgivet: (2020)

Thresholds for geometric graphs
af: Narayanan, Bhargav
Udgivet: (2026)

Cross-scale covariance for material property prediction
af: Jasperson, Benjamin A., et al.
Udgivet: (2024)

UNATE: UNsupervised ATomic Embedding for crystal structures property prediction
af: Solà-Garcia, Laura, et al.
Udgivet: (2026)

Self-supervised learning for crystal property prediction via denoising
af: New, Alexander, et al.
Udgivet: (2024)

Mono‐MVS: textureless‐aware multi‐view stereo assisted by monocular prediction
af: Yuanhao Fu, et al.
Udgivet: (2024)

Multi-view biomedical foundation models for molecule-target and property prediction
af: Suryanarayanan, Parthasarathy, et al.
Udgivet: (2024)

Electronic and optical properties of computationally predicted Na-K-Sb crystals
af: Xu, Chung, et al.
Udgivet: (2024)

A frequency-domain enhanced multi-view network for metal fatigue life prediction
af: Chen, Shuonan, et al.
Udgivet: (2024)

Solvaformer: an SE(3)-equivariant graph transformer for small molecule solubility prediction
af: Broadbent, Jonathan, et al.
Udgivet: (2025)

Enhancing crystal structure prediction by combining computational and experimental data via graph networks
af: Qin, Chenglong, et al.
Udgivet: (2023)

Resonances on geometrically finite graphs
af: Arends, Christian, et al.
Udgivet: (2026)

Effect of antibacterial masterbatches selection on the crystal structure and properties of nanosilver composite materials
af: Chengcheng Tian, et al.
Udgivet: (2024)

Differentiable graph neural network simulator for forward and inverse modeling of multi-layered slope system with multiple material properties
af: Choi, Yongjin, et al.
Udgivet: (2025)

A tutorial on multi-view autoencoders using the multi-view-AE library
af: Aguila, Ana Lawry, et al.
Udgivet: (2024)

A machine learning‐based crystal graph network and its application in development of functional materials
af: Gang Xu, et al.
Udgivet: (2024)

Bäcklund transformations as integrable discretization. The geometric approach
af: Doliwa, Adam
Udgivet: (2023)

Generalizing the structural phase field crystal approach for modeling solid-liquid-vapor phase transformations in pure materials
af: Coelho, Daniel L., et al.
Udgivet: (2024)

Electronic crystals in layered materials
af: Zhou, You, et al.
Udgivet: (2025)

Improved context-sensitive transformer model for inland vessel trajectory prediction
af: Donandt, Kathrin, et al.
Udgivet: (2024)

A multi-frequency global view of Callisto's thermal properties from ALMA
af: Camarca, Maria, et al.
Udgivet: (2025)

The Fe-N system: crystal structure prediction, phase stability, and mechanical properties
af: Bao, Ergen, et al.
Udgivet: (2024)

Illuminating the property space in crystal structure prediction using Quality-Diversity algorithms
af: Wolinska, Marta, et al.
Udgivet: (2024)

Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
af: Zrigui, Ismail, et al.
Udgivet: (2025)