Results 211 to 220 of about 16,791 (265)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Structural dualities between the Schrödinger equation and its ultra-slow-light counterpart in one spatial and one temporal dimension. [PDF]

Sci Rep
Rojas J, Casanova E, Arias M.
europepmc   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

Mechanistic neural operator framework for multi-objective optimization of Ti-6Al-4 V metal matrix composites. [PDF]

Sci Rep
Lakshmaiya N, Chakrapani G, Sagar V, Rajendran A, Maranan R, Rajhi AA, Duhduh AA, Khan WA.   +7 more
europepmc   +1 more source

Reconfigurable Logic‐in‐Memory Operations Enabled by Triple‐Gated Feedback Field‐Effect Transistors for Area‐Efficient Computing

Advanced Engineering Materials, EarlyView.
A reconfigurable logic‐in‐memory cell composed of triple‐gated feedback field‐effect transistors implements multiple combinational logic functions within a single configuration. By utilizing program gates as dynamic input terminals, the proposed cell performs full adder, full subtractor, 2‐to‐1 multiplexer, and 4‐to‐2 encoder operations without ...
Minhyeok Seol, Yunwoo Shin, Donghyung Lee, Dongki Kim, Kyoungah Cho, Sangsig Kim   +5 more
wiley   +1 more source

A fractional SEIVRB model for aquatic diseases dynamics with stability analysis and numerical solution. [PDF]

Sci Rep
Kosari S, Heydari MH, Sattari M, Bayram M.   +3 more
europepmc   +1 more source

Influence of Si Content and Milling Duration on the Microstructure and Mechanical–Tribological Properties of AlCoCrFeNiSi High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
Si‐doped AlCoCrFeNi high‐entropy alloys are synthesized by mechanical alloying to reveal the effect of Si content and milling time on phase evolution, microstructural refinement, and tribological behavior. A transition from FCC to BCC structure, significant grain refinement, and enhanced hardness and wear resistance are achieved, with the 4 at% Si ...
Mustafa Okumuş, Mehmet Emin Demir, Sercan Özpınar   +2 more
wiley   +1 more source

Modeling nonlinear variable-order fractional chaotic systems using the Caputo-Fabrizio operator and radial basis function neural networks. [PDF]

Sci Rep
Sawar S, Ayaz M, Aldhabani MS, Abd El-Rahman M, Hussain S, Jebran S.   +5 more
europepmc   +1 more source

A numerical framework for fractional and fractal-fractional analysis of the Pehlivan chaotic system using Caputo derivative. [PDF]

Sci Rep
Vinoth R, Jayalakshmi M.
europepmc   +1 more source

HESREN: A Derivative-Informed Reservoir Framework for Detecting Transient Neural Events and Windowless Estimation of Dynamic Functional Connectivity. [PDF]

Neuroinformatics
Kadak U.
europepmc   +1 more source