Cover Image

Materials Representation and Transfer Learning for Multi-Property Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kong, Shufeng, Guevarra, Dan, Gomes, Carla P., Gregoire, John M.
Format:	Preprint
Published:	2021
Subjects:	Machine Learning Artificial Intelligence 65Z05 I.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Separable Physics-Informed Neural Networks for the solution of elasticity problems
by: Es'kin, Vasiliy A., et al.
Published: (2024)

Are Two Hidden Layers Still Enough for the Physics-Informed Neural Networks?
by: Es'kin, Vasiliy A., et al.
Published: (2024)

About rectified sigmoid function for enhancing the accuracy of Physics-Informed Neural Networks
by: Es'kin, Vasiliy A., et al.
Published: (2024)

Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity
by: Hu, Zheyuan, et al.
Published: (2026)

About optimal loss function for training physics-informed neural networks under respecting causality
by: Es'kin, Vasiliy A., et al.
Published: (2023)

OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis
by: Bialokozowicz, Lilian W., et al.
Published: (2024)

Lagrangian particle simulation of hydrogen pellets and SPI into runaway electron beam in ITER
by: Yuan, Shaohua, et al.
Published: (2022)

Probing the topology of the space of tokens with structured prompts
by: Robinson, Michael, et al.
Published: (2025)

Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
by: Fernández-Godino, M. Giselle, et al.
Published: (2025)

WorkflowGen:an adaptive workflow generation mechanism driven by trajectory experience
by: Wei, Ruocan, et al.
Published: (2026)

Beam Spliter and Localization Induced by Controlled Perturbations after Time Boundary
by: Wang, Jing, et al.
Published: (2025)

Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model
by: Cho, Hyunwoo, et al.
Published: (2024)

On the Value of Tokeniser Pretraining in Physics Foundation Models
by: Sotoudeh, Hadi, et al.
Published: (2026)

TED++: Submanifold-Aware Backdoor Detection via Layerwise Tubular-Neighbourhood Screening
by: Le, Nam, et al.
Published: (2025)

Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
by: Alsheikh, Ahmad, et al.
Published: (2025)

Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
by: Botta, Paolo, et al.
Published: (2025)

HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025)

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
by: Senane, Zineb, et al.
Published: (2024)

Efficient Third-Harmonic Generation via Strong Coupling of Quasi-Guided Modes
by: Huang, Xin, et al.
Published: (2025)

Multi-Scale Graph Learning for Anti-Sparse Downscaling
by: Fan, Yingda, et al.
Published: (2025)

Parametric Learning of Time-Advancement Operators for Unstable Flame Evolution
by: Yu, Rixin, et al.
Published: (2024)

MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
by: Zamaraeva, Elena, et al.
Published: (2025)

Compact Model of Linear Passive Integrated Photonics Device for Photon Design Automation
by: Zhang, Zijian
Published: (2025)

Exponential propagators for the Schrödinger equation with a time-dependent potential
by: Bader, Philipp, et al.
Published: (2018)

A Generalized Second-Order Positivity-Preserving Numerical Method for Non-Autonomous Dynamical Systems with Applications
by: Hoang, Manh Tuan, et al.
Published: (2025)

Tensor-based compression of the sea temperature data
by: Kosolapov, Ilya, et al.
Published: (2025)

Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds
by: Chrisnanto, Julian Evan, et al.
Published: (2025)

Application of a Temporal Multiscale Method for Efficient Simulation of Degradation in PEM Water Electrolysis under Dynamic Operation
by: Dominguez, Dayron Chang, et al.
Published: (2024)

Design of a checkerboard counterflow heat exchanger for industrial applications
by: Parolini, N., et al.
Published: (2024)

Using the Transport of Intensity and the Transport of Phase Equation for Phase Retrieval
by: Kirisits, Clemens, et al.
Published: (2024)

Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data
by: Huang, Liping, et al.
Published: (2026)

Dynamical Priors as a Training Objective in Reinforcement Learning
by: Subaharan, Sukesh
Published: (2026)

SafeRL-Lite: A Lightweight, Explainable, and Constrained Reinforcement Learning Library
by: Mishra, Satyam, et al.
Published: (2025)

How Can Deep Neural Networks Fail Even With Global Optima?
by: Guan, Qingguang
Published: (2024)

Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver
by: Sittoni, Pietro, et al.
Published: (2026)

Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning
by: Petrella, Alfredo, et al.
Published: (2023)

ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
by: Mishra, Sanjay
Published: (2026)

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI
by: Pasupuleti, Vinil, et al.
Published: (2026)

One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification
by: Kobayashi, Kenji, et al.
Published: (2020)

High-Order Spectral Simulation of Dispersive Two-Dimensional Materials
by: Nicholls, David, et al.
Published: (2024)