Results 81 to 90 of about 3,564 (253)
This study presents an innovative filter architecture for a Two-Dimensional (2-D) FIR filter and illustrates its implementation in VLSI design through symmetric processing, parallelism, and approximate computing principles.
Venkata Krishna Odugu +3 more
doaj +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
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
Approximate computing is commonly employed in applications where accuracy is not crucial and aims to enhance circuit performance when inaccurate results are not challenging. The multipliers are power-hungry, and their approximation has been the target of
Elham Esmaeili, Nabiollah Shiri
doaj +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
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
Optimization of the Production of Rubber Compounds Using Mathematical Models
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 +7 more
wiley +1 more source
Exploring Posit Multiplication: A Comprehensive Review of Booth and Logarithmic Mantissa Methods
The posit number system represents a significant advancement aimed at replacing the current IEEE floating-point standard in a seamless manner. With its notable dynamic range and gradually tapering precision, a smaller posit can closely match the ...
Thalla Narasimha Swetha +2 more
doaj +1 more source
Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area savings.
Reza Zendegani, Saeed Safari
doaj +1 more source

