Results 121 to 130 of about 44,082 (308)

Integrable NLS equation with time-dependent nonlinear coefficient and self-similar attractive BEC [PDF]

open access: yes, 2011
Peer ...
Kaliyaperumal, Nakkeeran   +2 more
core   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Well-posedness and stability results for nonlinear abstract evolution equations with time delays

open access: yes, 2018
International audienceWe consider abstract evolution equations with a nonlinear term depending on the state and on delayed states. We show that, if the -semigroup describing the linear part of the model is exponentially stable, then the whole system ...
Pignotti, Cristina   +3 more
core   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

A Numerical Method for Extended Boussinesq Shallow-Water Wave Equations [PDF]

open access: yes, 1999
The accurate numerical simulation of wave disturbance within harbours requires consideration of both nonlinear and dispersive wave processes in order to capture such physical effects as wave refraction and diffraction, and nonlinear wave interactions ...
Walkley, Mark Andrew   +1 more
core  

Constructing new nonlinear evolution equations with supersymmetry

open access: yes, 2018
The factorisation method commonly used in linear supersymmetric quantum mechanics is extended, such that it can be applied to nonlinear quantum mechanical systems.
Biancalana, Fabio; id_orcid   +3 more
core   +1 more source

Enhanced Terahertz Thermoelectricity Via Engineered Van Hove Singularities and Nernst Effect in Moiré Superlattices

open access: yesAdvanced Functional Materials, EarlyView.
Moiré band engineering in graphene/hexagonal boron nitride–based superlattices unlocks van Hove singularities (VHSs) for terahertz (THz) optoelectronics. Tuning the Fermi level near these singularities, associated with secondary neutrality points (SNPs), enhances the photothermoelectric response.
Leonid Elesin   +16 more
wiley   +1 more source

Fourth order abstract evolution equations

open access: yes, 1992
Higher order evolution equations in Hilbert space may be sometimes better studied by ad hoc methods, rather than reducing them to first order systems. We illustrate this by solving the Cauchy problem for equations, which are variations on the theme of ...
PANIZZI, Stefano   +3 more
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

Home - About - Disclaimer - Privacy