Saved in:
| Main Authors: | Li, Biao, Song, Qing-Kai, Qi, Wen-Gang, Gao, Fu-Ping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.06232 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extrapolative ML Models for Copolymers
by: Hashmi, Israrul H., et al.
Published: (2024)
by: Hashmi, Israrul H., et al.
Published: (2024)
Interpretable liquid crystal phase classification via two-by-two ordinal patterns
by: Voltarelli, Leonardo G. J. M., et al.
Published: (2026)
by: Voltarelli, Leonardo G. J. M., et al.
Published: (2026)
Understanding Structural Representation in Foundation Models for Polymers
by: Park, Nathaniel H., et al.
Published: (2025)
by: Park, Nathaniel H., et al.
Published: (2025)
Rapid Neural Network Prediction of Linear Block Copolymer Free Energies
by: Chen, Ian, et al.
Published: (2026)
by: Chen, Ian, et al.
Published: (2026)
Topological Regularization for Force Prediction in Active Particle Suspension with EGNN and Persistent Homology
by: Saremi, Sadra, et al.
Published: (2025)
by: Saremi, Sadra, et al.
Published: (2025)
Topological Data Analysis combined with Machine Learning for Predicting Permeability of Porous Media
by: Dagdelen, Ebru, et al.
Published: (2026)
by: Dagdelen, Ebru, et al.
Published: (2026)
Predicting the post-wildfire mudflow onset using machine learning models on multi-parameter experimental data
by: Movasat, Mahta, et al.
Published: (2026)
by: Movasat, Mahta, et al.
Published: (2026)
InSpecLearn4SDL: Interpretable Spectral Features Predict Conductivity in Self-Driving Doped Conjugated Polymer Labs
by: Mishra, Ankush Kumar, et al.
Published: (2025)
by: Mishra, Ankush Kumar, et al.
Published: (2025)
The Sand Atlas
by: Vego, Ilija, et al.
Published: (2025)
by: Vego, Ilija, et al.
Published: (2025)
Mapping the Phase Diagram of the Vicsek Model with Machine Learning
by: Bai, Grace T., et al.
Published: (2026)
by: Bai, Grace T., et al.
Published: (2026)
Sparse Regression for Discovery of Constitutive Models from Oscillatory Shear Measurements
by: Shanbhag, Sachin, et al.
Published: (2024)
by: Shanbhag, Sachin, et al.
Published: (2024)
MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction
by: Wang, Fanmeng, et al.
Published: (2024)
by: Wang, Fanmeng, et al.
Published: (2024)
Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
by: Sturm, Hunter, et al.
Published: (2023)
by: Sturm, Hunter, et al.
Published: (2023)
Gaussian Process Regression-based Knowledge Distillation Framework for Simultaneous Prediction of Physical and Mechanical Properties of Epoxy Polymers
by: S., Sindu B., et al.
Published: (2026)
by: S., Sindu B., et al.
Published: (2026)
Dynamic control of self-assembly of quasicrystalline structures through reinforcement learning
by: Lieu, Uyen Tu, et al.
Published: (2023)
by: Lieu, Uyen Tu, et al.
Published: (2023)
Inverse Design of Copolymers Including Stoichiometry and Chain Architecture
by: Vogel, Gabriel, et al.
Published: (2024)
by: Vogel, Gabriel, et al.
Published: (2024)
Random functions as data compressors for machine learning of molecular processes
by: Debnath, Jayashrita, et al.
Published: (2025)
by: Debnath, Jayashrita, et al.
Published: (2025)
Self-Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers
by: Xu, Guoyue, et al.
Published: (2025)
by: Xu, Guoyue, et al.
Published: (2025)
CREASE-2D Analysis of Small Angle X-ray Scattering Data from Supramolecular Dipeptide Systems
by: Gupta, Nitant, et al.
Published: (2025)
by: Gupta, Nitant, et al.
Published: (2025)
Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size
by: Khanna, Smayan, et al.
Published: (2025)
by: Khanna, Smayan, et al.
Published: (2025)
Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression
by: Califano, Federico, et al.
Published: (2026)
by: Califano, Federico, et al.
Published: (2026)
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
by: Tran, Phu N., et al.
Published: (2024)
by: Tran, Phu N., et al.
Published: (2024)
A cyclical route linking fundamental mechanism and AI algorithm: An example from tuning Poisson's ratio in amorphous networks
by: Zhu, Changliang, et al.
Published: (2023)
by: Zhu, Changliang, et al.
Published: (2023)
Geometry and Mechanics of Non-Euclidean Curved-Crease Origami
by: Wen, Zhixuan, et al.
Published: (2025)
by: Wen, Zhixuan, et al.
Published: (2025)
Machine Learning Aided Modeling of Granular Materials: A Review
by: Wang, Mengqi, et al.
Published: (2024)
by: Wang, Mengqi, et al.
Published: (2024)
Investigation of Air Fluidization during Intruder Penetration in Sand
by: Wang, Bowen, et al.
Published: (2025)
by: Wang, Bowen, et al.
Published: (2025)
PolyMon: A Unified Framework for Polymer Property Prediction
by: Ren, Gaopeng, et al.
Published: (2026)
by: Ren, Gaopeng, et al.
Published: (2026)
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
by: Noda, Kohei, et al.
Published: (2024)
by: Noda, Kohei, et al.
Published: (2024)
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kinetics
by: Zou, Ziyue, et al.
Published: (2024)
by: Zou, Ziyue, et al.
Published: (2024)
Curved Odd Elasticity
by: Zhou, Yuan, et al.
Published: (2025)
by: Zhou, Yuan, et al.
Published: (2025)
Bayesian sparse modeling for interpretable prediction of hydroxide ion conductivity in anion-conductive polymer membranes
by: Murakami, Ryo, et al.
Published: (2025)
by: Murakami, Ryo, et al.
Published: (2025)
Advanced Manufacturing with Renewable and Bio-based Materials: AI/ML workflows and Process Optimization
by: Advincula, Rigoberto, et al.
Published: (2026)
by: Advincula, Rigoberto, et al.
Published: (2026)
Data-driven Modeling of Granular Chains with Modern Koopman Theory
by: Parsa, Atoosa, et al.
Published: (2024)
by: Parsa, Atoosa, et al.
Published: (2024)
Emergent Dynamics of Active Systems on Curved Environments
by: Mackay, Euan D., et al.
Published: (2025)
by: Mackay, Euan D., et al.
Published: (2025)
Origins of Fine Structure in DNA Melting Curves
by: Asatryan, Arevik V., et al.
Published: (2024)
by: Asatryan, Arevik V., et al.
Published: (2024)
Molecular Dynamics Simulations of Anisotropic Particles Accelerated by Neural-Net Predicted Interactions
by: Argun, B. Rusen, et al.
Published: (2024)
by: Argun, B. Rusen, et al.
Published: (2024)
Stress and Alignment Response to Curved Obstacles in Growing Bacterial Monolayers
by: Langeslay, Blake, et al.
Published: (2024)
by: Langeslay, Blake, et al.
Published: (2024)
Active Filaments on Curved Surfaces: From Single Filaments to Dilute Suspensions
by: Janzen, Giulia, et al.
Published: (2025)
by: Janzen, Giulia, et al.
Published: (2025)
Towards scientific machine learning for granular material simulations -- challenges and opportunities
by: Fransen, Marc, et al.
Published: (2025)
by: Fransen, Marc, et al.
Published: (2025)
Variational autoencoders understand knot topology
by: Braghetto, Anna, et al.
Published: (2025)
by: Braghetto, Anna, et al.
Published: (2025)
Similar Items
-
Extrapolative ML Models for Copolymers
by: Hashmi, Israrul H., et al.
Published: (2024) -
Interpretable liquid crystal phase classification via two-by-two ordinal patterns
by: Voltarelli, Leonardo G. J. M., et al.
Published: (2026) -
Understanding Structural Representation in Foundation Models for Polymers
by: Park, Nathaniel H., et al.
Published: (2025) -
Rapid Neural Network Prediction of Linear Block Copolymer Free Energies
by: Chen, Ian, et al.
Published: (2026) -
Topological Regularization for Force Prediction in Active Particle Suspension with EGNN and Persistent Homology
by: Saremi, Sadra, et al.
Published: (2025)