Results 131 to 140 of about 8,941 (238)

Dataset on thermophysical properties of natural stones for heat storage applications. [PDF]

Data Brief
Seyitini L, Belgasim B, Enweremadu CC.
europepmc   +1 more source

Dual‐Scale Coupling Model and Experimental Validation of Instantaneous Dynamic Transverse Permeability for Large‐Tow Carbon Fiber

SPE Polymers, Volume 7, Issue 4, October 2026.
Resin impregnation process of fiber tow: From macroscopic flow between fiber tows to microscopic impregnation within fiber flows. ABSTRACT Carbon fiber‐reinforced resin‐matrix composites have emerged as lightweight structural materials for diverse engineering applications, owing to their outstanding specific strength and specific modulus.
Shaohan Mo, Hanwen Xu, Menglei Zhai, Huaxin Wang, Ming Huang, Shihai Liu, Mengyao He, Na Zhang   +7 more
wiley   +1 more source

From Experiments to AI: A Comparative Review of Machine Learning Approaches for Predicting Nanofluid Thermophysical Properties. [PDF]

Nanomaterials (Basel)
Al Jadidi S, Moolya R, Padidhapu R, Subramanian S, Moolya S.   +4 more
europepmc   +1 more source

Investigation of Tribotechnical Characteristics of Epoxy Composites Containing Al2O3, ZnO, and PTFE Using Neural Networks

SPE Polymers, Volume 7, Issue 4, October 2026.
Schematic of tribological studies using neural networks. ABSTRACT The paper investigates the dependence of wear intensity and friction coefficient of epoxy composites on the content of fillers—aluminum oxide (Al2O3), polytetrafluoroethylene (PTFE), and zinc oxide (ZnO).
Oleg Totosko, Petro Stukhliak, Danylo Stukhliak   +2 more
wiley   +1 more source

Manganese-Doped Cesium Lead Halide Perovskite PMMA Composite Fibrous Membranes by Electrospinning for Photocatalytic and LED Applications

ACS Omega
Yujie Cheng, Yuang Ji, Donghai Lin, Wan Y. Shih, Wei-Heng Shih   +4 more
doaj   +1 more source

A predictive framework for evaluating the thermophysical properties of multi-walled carbon nanotube nanofluids dispersed in a water-ethylene glycol 50:50 base fluid. [PDF]

Sci Rep
Ali ABM, Idan MF, Kareem MK, Sawaran Singh NS, Attallah AN, Garalleh HA, Afandi A, Taner M, Salahshour S, Hoseini L.   +9 more
europepmc   +1 more source

Influence of 3D Printing Parameters on ULTEM 9085 Mechanical Properties Using Explainable Machine Learning

SPE Polymers, Volume 7, Issue 4, October 2026.
An explainable machine‐learning framework predicts complete stress–strain behavior and key mechanical properties of FFF‐printed ULTEM 9085 from four printing parameters. Extra Trees delivered the most accurate and stable predictions, while SHAP and LIME clarified how each parameter influences material performance.
Md Asif Hasan, Mohammad Reza Chalak Qazani, Kassandra Herrnandez, Avijit Paul, Hadi Fathollahi Abdar, Mehdi Moayyedian, Houshyar Asadi, Devin J. Roach   +7 more
wiley   +1 more source

A novel intelligent framework for harnessing underground thermal energy through the optimization of grout and backfill thermophysical properties. [PDF]

Sci Rep
Zandy Ilghani N, Maleki H.
europepmc   +1 more source

Study on the Thermophysical Properties of 80% ¹⁰B Enrichment of B₄C. [PDF]

Materials (Basel), 2023
Lv Z, Hu H, Cao J, Lin S, Li C, Nie L, Zhou X, Ren Q, Lv Q, Hu J.   +9 more
europepmc   +1 more source

Tailoring Radial Dopant Homogeneity in Silica‐Based Laser Active Media Using Variable SiO2 Precursors in Atmospheric Pressure Plasma‐Based Nanoparticle Synthesis

Particle &Particle Systems Characterization, Volume 43, Issue 10, October 2026.
The study compares two silica precursors, TEOS and OMCTS, for producing Yb2O3, Al2O3‐doped nanoparticle aggregates via atmospheric microwave plasma. TEOS‐based sol–gel precursors yield 20‐40 times higher dopant homogeneity in vitrified samples than OMCTS‐based emulsions. This difference is attributed to distinct evaporation behaviors and water content,
Tom Trautvetter, Hardy Baierl, Ralf Methling, Marjan Stankov, Jan Dellith, Frank Hempel, Rüdiger Foest, Lothar Wondraczek, Katrin Wondraczek   +8 more
wiley   +1 more source