Machine Learning Prediction of Thermal Properties of PHB/PHBV-Based Materials: A Quantitative Structure-Property Relationship Approach Using an Integrated Polymer Database. [PDF]
Sotiropoulos NP +6 more
europepmc +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Investor Sentiment and Noise Traders: Discount to Net Asset Value in Listed Property Companies in the U.K. [PDF]
There are parallels between the operation of closed-end funds and in the United Kingdom property companies. In both types of corporations, the market capitalization is commonly less than the net asset value (NAV) of the assets owned by the firms.
Charles W. R. Ward, Richard J. Barkham
core
Quantitative Structure-Property Relationship Modeling with the Prediction of Physicochemical Properties of Some Novel Duchenne Muscular Dystrophy Drugs. [PDF]
K J, Santiago R.
europepmc +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
The dynamics of New Zealand commercial property portfolios
The dynamics of commercial property portfolio peljormance in New Zealand have changed considerably in recent years, with most of these dynamics working in favour of commercial property in an investment portfolio.
Newell, Graeme
core
Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR). [PDF]
Ascencio-Medina E +7 more
europepmc +1 more source

