Saved in:
| Main Authors: | Liu, Yuhan, Xu, Jiaxin, Zhang, Renzheng, Jiang, Meng, Luo, Tengfei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.23494 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ADEPT-PolyGraphMT: Automated Molecular Simulation and Multi-Task Multi-Fidelity Machine Learning for Polymer Property Generation and Prediction
by: Alosious, Sobin, et al.
Published: (2026)
by: Alosious, Sobin, et al.
Published: (2026)
Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning
by: Xu, Jiaxin, et al.
Published: (2024)
by: Xu, Jiaxin, et al.
Published: (2024)
POINT$^{2}$: A Polymer Informatics Training and Testing Database
by: Xu, Jiaxin, et al.
Published: (2025)
by: Xu, Jiaxin, et al.
Published: (2025)
Strain-released epitaxy of GaN enabled by compliant single-crystalline metal foils
by: Ma, Yaqing, et al.
Published: (2026)
by: Ma, Yaqing, et al.
Published: (2026)
Additively manufacturable high-strength aluminum alloys with thermally stable microstructures enabled by hybrid machine learning-based design
by: Taheri-Mousavi, S. Mohadeseh, et al.
Published: (2024)
by: Taheri-Mousavi, S. Mohadeseh, et al.
Published: (2024)
AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers
by: Huang, Xiang, et al.
Published: (2024)
by: Huang, Xiang, et al.
Published: (2024)
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
by: Yoon, Ji Wei, et al.
Published: (2023)
by: Yoon, Ji Wei, et al.
Published: (2023)
Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity
by: Huang, Xiang, et al.
Published: (2024)
by: Huang, Xiang, et al.
Published: (2024)
Smart polymer solution and thermal conductivity: How important is an exact polymer conformation?
by: Chowdhury, Mokter M., et al.
Published: (2024)
by: Chowdhury, Mokter M., et al.
Published: (2024)
Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors
by: Huang, Xiang, et al.
Published: (2023)
by: Huang, Xiang, et al.
Published: (2023)
Machine learning-enabled inverse design of bimaterial thermoelastic lattice metamaterials
by: Peng, Xiang-Long, et al.
Published: (2026)
by: Peng, Xiang-Long, et al.
Published: (2026)
Exploring mechanical and thermal properties of high-entropy ceramics via general machine learning potentials
by: Liu, Yiwen, et al.
Published: (2024)
by: Liu, Yiwen, et al.
Published: (2024)
Accurate estimation of interfacial thermal conductance between silicon and diamond enabled by a machine learning interatomic potential
by: Rajabpour, Ali, et al.
Published: (2024)
by: Rajabpour, Ali, et al.
Published: (2024)
Bayesian identification of fibrous insulation thermal conductivity towards design of spacecraft thermal protection systems
by: Alberts, Alex, et al.
Published: (2026)
by: Alberts, Alex, et al.
Published: (2026)
Fundamental picture of the conduction mechanism in solid-state polymer electrolytes revealed by terahertz spectroscopy
by: Weidelt, Johanna, et al.
Published: (2026)
by: Weidelt, Johanna, et al.
Published: (2026)
Anomalous strain-dependent thermal conductivity in superelastic screw-dislocated graphites
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
Vanishing quantum confinement enables bright and thermally excited multi-carrier emission from semiconductor nanocrystals
by: Arens, Tjom, et al.
Published: (2025)
by: Arens, Tjom, et al.
Published: (2025)
On-the-fly training of polynomial machine learning potentials in computing lattice thermal conductivity
by: Togo, Atsushi, et al.
Published: (2024)
by: Togo, Atsushi, et al.
Published: (2024)
Universal thermometry of solid-liquid interfacial thermal conductance
by: Chen, Tao, et al.
Published: (2026)
by: Chen, Tao, et al.
Published: (2026)
Machine learning for predicting ultralow thermal conductivity and high ZT in complex thermoelectric materials
by: Hao, Yuzhou, et al.
Published: (2024)
by: Hao, Yuzhou, et al.
Published: (2024)
Density dependence of thermal conductivity in nanoporous and amorphous carbon with machine-learned molecular dynamics
by: Wang, Yanzhou, et al.
Published: (2024)
by: Wang, Yanzhou, et al.
Published: (2024)
Lead-free room-temperature ferroelectric thermal conductivity switch using anisotropies in thermal conductivities
by: Féger, Lucile, et al.
Published: (2024)
by: Féger, Lucile, et al.
Published: (2024)
Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers
by: Guoyue Xu, et al.
Published: (2026)
by: Guoyue Xu, et al.
Published: (2026)
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)
Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
by: Phan, Brandon K., et al.
Published: (2024)
by: Phan, Brandon K., et al.
Published: (2024)
Anomalies in the thermal conductivity of honeycomb antiferromagnet MnPS$_{3}$
by: Yan, Jian, et al.
Published: (2026)
by: Yan, Jian, et al.
Published: (2026)
Boundary conditions dictate frequency dependence of thermal conductivity in silicon
by: Liu, Yizhe, et al.
Published: (2024)
by: Liu, Yizhe, et al.
Published: (2024)
Magnon thermal conductivity in multiferroics with spin cycloids
by: Park, Hyeon Woo, et al.
Published: (2025)
by: Park, Hyeon Woo, et al.
Published: (2025)
Lattice thermal conductivity and mechanical properties of the single-layer penta-NiN2 explored by a deep-learning interatomic potential
by: Mirchi, Pedram, et al.
Published: (2024)
by: Mirchi, Pedram, et al.
Published: (2024)
Ultralow thermal conductivity via weak interactions in PbSe/PbTe monolayer heterostructure for thermoelectric design
by: Tan, Ruihao, et al.
Published: (2025)
by: Tan, Ruihao, et al.
Published: (2025)
Insight into the effect of force error on the thermal conductivity from machine-learned potentials
by: Zhou, Wenjiang, et al.
Published: (2024)
by: Zhou, Wenjiang, et al.
Published: (2024)
PINK: physical-informed machine learning for lattice thermal conductivity
by: Liu, Yujie, et al.
Published: (2025)
by: Liu, Yujie, et al.
Published: (2025)
Large-scale database analysis of anomalous thermal conductivity of quasicrystals and its application to thermal diodes
by: Kurono, Takashi, et al.
Published: (2024)
by: Kurono, Takashi, et al.
Published: (2024)
KappaFormer: Physics-aware Transformer for lattice thermal conductivity via cross-domain transfer learning
by: Wu, Mengfan, et al.
Published: (2026)
by: Wu, Mengfan, et al.
Published: (2026)
Identifying Oriented Spin Space Groups and Related Physical Properties Using an Online Platform FINDSPINGROUP
by: Yu, Yutong, et al.
Published: (2026)
by: Yu, Yutong, et al.
Published: (2026)
Atomic-scale order enables high thermal boundary conductance at $β$-Ga$_2$O$_3$/4H-SiC interfaces
by: Yang, Hongao, et al.
Published: (2026)
by: Yang, Hongao, et al.
Published: (2026)
An approach for thermal conductivity measurements in thin films: Combining localized surface topography, thermal analysis, and machine learning techniques
by: Dehbashi, Mohsen, et al.
Published: (2025)
by: Dehbashi, Mohsen, et al.
Published: (2025)
Two-dimensional ferroelectric crystal with temperature-invariant ultralow thermal conductivity
by: Zhou, Wenjie, et al.
Published: (2025)
by: Zhou, Wenjie, et al.
Published: (2025)
Symmetry-guided prediction of magnetic-ordered ground states
by: Li, Yuhui, et al.
Published: (2025)
by: Li, Yuhui, et al.
Published: (2025)
Dynamic tuning of ENZ wavelength in conductive polymer films via polaron excitation
by: Liu, Hongqi, et al.
Published: (2024)
by: Liu, Hongqi, et al.
Published: (2024)
Similar Items
-
ADEPT-PolyGraphMT: Automated Molecular Simulation and Multi-Task Multi-Fidelity Machine Learning for Polymer Property Generation and Prediction
by: Alosious, Sobin, et al.
Published: (2026) -
Superior Polymeric Gas Separation Membrane Designed by Explainable Graph Machine Learning
by: Xu, Jiaxin, et al.
Published: (2024) -
POINT$^{2}$: A Polymer Informatics Training and Testing Database
by: Xu, Jiaxin, et al.
Published: (2025) -
Strain-released epitaxy of GaN enabled by compliant single-crystalline metal foils
by: Ma, Yaqing, et al.
Published: (2026) -
Additively manufacturable high-strength aluminum alloys with thermally stable microstructures enabled by hybrid machine learning-based design
by: Taheri-Mousavi, S. Mohadeseh, et al.
Published: (2024)