Results 91 to 100 of about 108,594 (298)

Polarized Deformed Nuclei Studied via Coincidence Polarized Electron Scattering: The case of 21 Ne

open access: yes, 1993
Coincidence reactions of the type $\svec{A}(\svec{e},e'N)B$ involving the scattering of polarized electrons from deformed polarized targets are discussed within the context of the plane--wave impulse approximation.
Berdichevski   +38 more
core   +2 more sources

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Analysis of the impulse Poiseuille flow of generalized second grade fluid

open access: yes工程科学学报, 2016
The impulse Poiseuille flow of generalized second grade fluid was discussed in this paper. Combining the Riemann-Liouville fractional constitutive equation of second grade fluid with the fractional momentum equation of incompressible fluid,a new ...
ZHANG Yan, ZHANG Min, HUANG Zhen
doaj   +1 more source

Hadron Helicity Violation in Exclusive Processes: Quantitative Calculations in Leading Order QCD [PDF]

open access: yes, 1995
We study a new mechanism for hadronic helicity flip in high energy hard exclusive reactions. The mechanism proceeds in the limit of perfect chiral symmetry, namely without any need to flip a quark helicity. The fundamental feature of the new mechanism is
A. Duncan   +34 more
core   +3 more sources

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

Calculation of laser induced impulse based on the laser supported detonation wave model with dissociation, ionization and radiation

open access: yesAIP Advances, 2014
In the laser intensity range that the laser supported detonation (LSD) wave can be maintained, dissociation, ionization and radiation take a substantial part of the incidence laser energy.
Li Gan, Cheng Mousen, Li Xiaokang
doaj   +1 more source

Implementing Physical Learning Based On Momentum and Impulse Stem Materials to Develop Collaboration Skills

open access: yesJurnal Ilmu Pendidikan, 2020
The challenges of the 21st-century life require that every individual must master 21st-century skills. The 21st-century learning and innovation (4C) skills are among the skills that rank first among other skills.
Dwi Yulianti, Dewi Anjani
doaj   +1 more source

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li   +4 more
wiley   +1 more source

Assessment of knowledge integration in student learning of momentum

open access: yesPhysical Review Physics Education Research, 2020
Momentum is a foundational concept in physics. Although it is often taught in introductory mechanics courses, there are a limited number of studies on this topic in the literature. The results from these studies have consistently shown that students have
Wangyi Xu   +6 more
doaj   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang   +4 more
wiley   +1 more source

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