Results 181 to 190 of about 104,279 (240)

Benchmarking Large Language Models for Polymer Property Predictions

Macromolecular Rapid Communications, EarlyView.
Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta, Akhlak Mahmood, Shivank Shukla, Rampi Ramprasad   +3 more
wiley   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

Macromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari, Manali Banerjee, Raul Olmedo, Blair Brettmann   +3 more
wiley   +1 more source

Correction: Wu et al. 3D-Printed Multi-Stimulus-Responsive Hydrogels: Fabrication and Characterization. Micromachines 2025, 16, 788. [PDF]

Micromachines (Basel)
Wu J, Ma Z, Tang Q, Yang R.
europepmc   +1 more source

Experimental Study on Polymer–Polymer Interfacial Thermal Resistance

Macromolecular Theory and Simulations, Volume 34, Issue 2, March 2025.
Interfacial thermal resistance (ITR) in polymer–polymer interfaces is experimentally measured in this paper by the multi‐layered bulk sample approach. Based on numerical simulation and experimental verification, new techniques of layer‐overlapping samples are developed.
Yinfeng Xia, Takushi Saito, Tatsuya Kawaguchi   +2 more
wiley   +1 more source

Correction: Endometriosis burden and trends among women of childbearing age from 1990 to 2021. [PDF]

Front Endocrinol (Lausanne)
Tang Z, Ma C, Liu J, Liu C.
europepmc   +1 more source

The Combined Effects of Variable Viscosity and Thermal Conductivity of An Unsteady Casson Fluid Flow Along a Vertical Porous Channel With Convective Cooling Walls, Using the Bivariate Spectral Local Linearization Method

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT This study examines the combined impact of different thermal conductivity and viscosity on unsteady non‐Newtonian Casson fluid flow of incompressible, electrical conductivity in a porous vertical channel with convective cooling walls, uniform magnetic field, and constant pressure gradient.
A. S. Adeyemo, Precious Sibanda, S. P. Goqo   +2 more
wiley   +1 more source

An integrated analysis of naval platform survivability for mission resilience. [PDF]

Sci Rep
Woolley A, Gargano A, Aksu S, Gamble G, Foos D.   +4 more
europepmc   +1 more source

Free Surface Waves in Electrohydrodynamics With a Prescribed Vorticity Distribution

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Traditionally, the study of free surface flows assumed irrotationality to simplify matters, and the results seemed to have great success, notably with the Korteweg‐de Vries(KdV) equation. In the past decade, there have been attempts to remove this seemingly strong condition and replace it with a global constant vorticity equivalent to a linear
M. J. Hunt, Denys Dutykh
wiley   +1 more source

Serum Kisspeptin levels in patients undergoing maintenance hemodialysis: a case-control study protocol. [PDF]

BMC Nephrol
Yang B, Zheng N, Shao Q, Fu X, Ye D, Sun L, Liu N.   +6 more
europepmc   +1 more source

Impact of Partial Echo on 4D Flow MRI: The Insight From Synthetic MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The aim of this study is to investigate the impact of the partial echo on 4D flow MRI sequences thanks to in silico coupled MRI‐CFD (computational fluid dynamics) simulations. Methods Two sequences are studied: one with a full echo (FE) and another using partial echo (PE) with an echo symmetry fraction of 0.75.
Morgane Garreau, Thomas Puiseux, Ramiro Moreno, Solenn Toupin, Daniel Giese, Franck Nicoud, Simon Mendez   +6 more
wiley   +1 more source