Results 171 to 180 of about 228,280 (310)
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
Blackcap Optimization Algorithm (BCOA): A Novel Metaheuristic Algorithm for Global and Engineering Optimization Problems. [PDF]
Asghari A, Mohammadi M.
europepmc +1 more source
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
"The Productivity Convergence Debate: A Theoretical and Methodological Reconsideration" [PDF]
Two fundamental issues have been ignored in the convergence debate which are addressed in this paper. First, there has been little attention paid to the development of a general model able to explain convergence a divergence.
William Milberg, Bruce Elmslie
core
Reverse Mutation for Optimization Learning Artificial Lemming Algorithm and Its Application in Engineering. [PDF]
Tang M, Zheng Y, Li L, Cao L, Cheng Z.
europepmc +1 more source
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley +1 more source
A Method For Approximating Univariate Convex Functions Using Only Function Value Evaluations
In this paper, piecewise linear upper and lower bounds for univariate convex functions are derived that are only based on function value information. These upper and lower bounds can be used to approximate univariate convex functions.
Siem, A.Y.D. +2 more
core
Fitness Distance Balanced Starfish Optimization for Benchmark and Engineering Design Problems. [PDF]
Yağbasan T +3 more
europepmc +1 more source
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán +5 more
wiley +1 more source
Approach regions for the square root of the Poisson kernel and weak L^p boundary functions
Let P 0 f(z) = P (z; fi)f(e ) dfi for f 2 L (T), where P (z; fi) is the Poisson kernel in the unit disc. In this paper we consider the convergence properties of the normalised operator P 0 f=P 0 1. We give a complete characterisation of the
Matematiskt Centrum +2 more
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