Results 71 to 80 of about 13,019 (261)

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

La mimesi della regressione alla prova dell’ordine simbolico: una pratica artistica regressiva

Itinera, 2013
The mimesis of regression is an artistic strategy that challenges the symbolic order. This challenge has some controversial points, since on the one hand the symbolic order proves to be extremely resistant as it manages to integrate the mimesis of ...
Matteo Meneghini
doaj   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

Advanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle, María Ángeles Navacerrada, Johan Christensen, Carlos González   +3 more
wiley   +1 more source

Population Dynamics in Genetic Programming for Dynamic Symbolic Regression

Applied Sciences
This paper investigates the application of genetic programming (GP) for dynamic symbolic regression (SR), addressing the challenge of adapting machine learning models to evolving data in practical applications.
Philipp Fleck, Bernhard Werth, Michael Affenzeller   +2 more
doaj   +1 more source

A Surface‐engineered Microfluidic Device for Antibody‐Mediated Negative Selection of High‐Quality Sperm for Assisted Reproduction

Advanced Functional Materials, EarlyView.
This study reports a microfluidic device with a functionalized surface utilizing a polyoxazoline coating and covalently immobilized gold nanoparticles and anti‐phosphatidylserine antibody. The device efficiently eliminates pre‐apoptotic and apoptotic spermatozoa and yields sperm with substantially improved quality and low DNA damage, offering a simple ...
Soraya Rasi Ghaemi, David J. Sharkey, Nicole O. McPherson, Markos Negash Alemie, Krasimir Vasilev, Sarah A. Robertson   +5 more
wiley   +1 more source

Data-Driven Approach for Left Ventricular Volume Estimation using Intracardiac Admittance

Current Directions in Biomedical Engineering
Accurate estimation of left ventricular volume (LVV) is essential for managing cardiovascular diseases such as heart failure and myocardial infarction. A promising approach for continuous LVV estimation is using intracardiac admittance measurements.
Voss Daniel, Leonhardt Steffen, Walter Marian   +2 more
doaj   +1 more source

Symbolic Regression for the Determination of Joint Roughness Coefficient

Mathematical and Computational Applications
In this study, a novel symbolic regression-based empirical equation has been developed to compute the joint roughness coefficient (JRC) value based on the statistical parameters of rock joints.
Yuyang Zhao, Hongbo Zhao
doaj   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Bias and Variance Analysis of Contemporary Symbolic Regression Methods

Applied Sciences
Symbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimilar ...
Lukas Kammerer, Gabriel Kronberger, Stephan Winkler   +2 more
doaj   +1 more source