Gap-Filling for Daily Latent Heat Flux Observations with the Full-factorial method at Global Flux Sites. [PDF]
Wang X, Tang F, Jiang Y, Lou Y.
europepmc +1 more source
Optimum Placement of Heating Tubes in a Multi-Tube Latent Heat Thermal Energy Storage. [PDF]
Ghalambaz M +7 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Graphene oxide/carbon nanotube reinforced PCM microcapsules with high thermal conductivity and high latent heat for thermal energy storage. [PDF]
Du B +6 more
europepmc +1 more source
A Rapid Thermal Absorption Rate and High Latent Heat Enthalpy Phase Change Fiber Derived from Bio-Based Low Melting Point Copolyesters. [PDF]
Lan TY +7 more
europepmc +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
Record-High Latent Heat, Ultra-Fast Relaxation and Closed-Loop Recycling Double-Brush Polymer Networks for Self-Adaptive Thermal Interface Management. [PDF]
Liu Q +7 more
europepmc +1 more source
Solidification Enhancement in a Multi-Tube Latent Heat Storage System for Efficient and Economical Production: Effect of Number, Position and Temperature of the Tubes. [PDF]
Li M +7 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Noise-Aware Active Learning to Develop High-Temperature Shape Memory Alloys with Large Latent Heat. [PDF]
Tian Y +5 more
europepmc +1 more source

