Results 81 to 90 of about 10,375 (259)

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

Finite BRST–antiBRST transformations in Lagrangian formalism

Physics Letters B, 2014
We continue the study of finite BRST–antiBRST transformations for general gauge theories in Lagrangian formalism initiated in [1], with a doublet λa, a=1,2, of anticommuting Grassmann parameters, and find an explicit Jacobian corresponding to this change
Pavel Yu. Moshin, Alexander A. Reshetnyak   +1 more
doaj   +1 more source

Controlling the Center of Mass Motion of Levitated Particles Using Structured Wavefronts

Laser &Photonics Reviews, EarlyView.
Optically levitated particles have great potential for quantum‐enhanced sensing. Precise control of the trapping beam is crucial to improve the stability and confinement of these systems. Here, we study how structured wavefronts can be used to control the center‐of‐mass motion of levitated particles, enhancing trap stiffness and enabling stable ...
Shah Jee Rahman, Quimey Pears Stefano, Angel Cifuentes, Jason Francis, Iker Gómez‐Viloria, Ruben Pellicer‐Guridi, Miguel Varga, Gabriel Molina‐Terriza   +7 more
wiley   +1 more source

Inverse Kinematics of Robotic Manipulators Based on Hybrid Differential Evolution and Jacobian Pseudoinverse Approach

Algorithms
Robot manipulators play a critical role in several industrial applications by providing high precision and accuracy. To perform these tasks, manipulator robots require the effective computation of inverse kinematics.
Jesus Hernandez-Barragan, Josue Plascencia-Lopez, Michel Lopez-Franco, Nancy Arana-Daniel, Carlos Lopez-Franco   +4 more
doaj   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar, Khaled A. Gepreel, Reham M. A. Shohib, Yakup Yildirim   +3 more
wiley   +1 more source

Exploring the Strengths and Limitations of Polymer Chemistry Informed Neural Networks

Macromolecular Reaction Engineering, EarlyView.
PCINNs are able to reach high levels of predictive performance utilizing imperfect kinetic models and a relatively small dataset, with reliable extrapolation at reaction temperatures significantly beyond the range of the original dataset. ABSTRACT Kinetic models are essential tools for providing a fundamental understanding of polymerization processes ...
Shaghayegh Hamzehlou, Nicholas Ballard, José M. Asua   +2 more
wiley   +1 more source

An implementation of the partitioned Levenberg-Marquardt algorithm for applications in computer vision

Semina: Ciências Exatas e Tecnológicas, 2009
At several applications of computer vision is necessary to estimate parameters for a specific model which best fits an experimental data set. For these cases, a minimization algorithm might be used and one of the most popular is the Levenberg ...
Tiago Polizer da Silva, Marcela Hitomi Koyama, Maria Bernadete de Morais França, José Alexandre de França   +3 more
doaj  

Quantifying Skin Sodium Concentration With Novel Very Rapid Biexponential T2 Relaxometry and Signal Loss Compensation Methodology

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To accurately measure skin tissue sodium concentration (TSC) through development of spin‐3/2 relaxometry methodology that also considers blood sodium. Methods Mxy generation during RF excitation is substantially reduced by very rapid T2f.
Gurparkash Singh, Christian Beaulieu, Rob Stobbe   +2 more
wiley   +1 more source