Results 61 to 70 of about 23,557 (298)

Bayesian inference of radial impurity transport in the pedestal of ASDEX Upgrade discharges using charge-exchange spectroscopy

Nuclear Fusion
We present a novel framework for quantifying radial impurity transport in the pedestal of ASDEX Upgrade (AUG) discharges. Our method is based on charge-exchange recombination spectroscopy measurements of line radiation from multiple impurity charge ...
T. Gleiter, R. Dux, F. Sciortino, T. Odstrčil, D. Fajardo, C. Angioni, J. Buchner, R.M. McDermott, T. Hayward-Schneider, G.F. Harrer, M. Faitsch, M. Griener, R. Fischer, E. Wolfrum, U. Stroth, the ASDEX Upgrade Team   +15 more
doaj   +1 more source

Predictive JET current ramp-up modelling using QuaLiKiz-neural-network

Nuclear Fusion, 2023
This work applies the coupled JINTRAC and QuaLiKiz-neural-network (QLKNN) model on the ohmic current ramp-up phase of a JET D discharge. The chosen scenario exhibits a hollow $T_\mathrm{e}$ profile attributed to core impurity accumulation, which is ...
A. Ho, J. Citrin, C.D. Challis, C. Bourdelle, F.J. Casson, J. Garcia, J. Hobirk, A. Kappatou, D.L. Keeling, D.B. King, F. Koechl, E. Lerche, C.F. Maggi, J. Mailloux, JET Contributors   +14 more
doaj   +1 more source

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

Advanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon, Jordan Noronha, Justin Dirrenberger, Andrey Molotnikov   +3 more
wiley   +1 more source

Enhancing Bubble Removal in Geometry‐Optimized Electrodes

Advanced Engineering Materials, EarlyView.
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner, Peter Förster, Alexander Limper, Anselm Brodersen, Matthias Wessling, John Linkhorst   +5 more
wiley   +1 more source

Numerical simulation of colloid-facilitated impurity transport in porous media

, 2020
A numerical model is developed to calculate characteristics of impurity transport (including non-classical regimes) in double porous media in the presence of colloids.
Leonid V. Matveev, Alexander D. Vasiliev, Peter S. Kondratenko   +2 more
core   +1 more source

Exploration of Pseudobinary Alloys (Al–Mn)‐(Co–Fe–Ni) to Design High‐Entropy and Compositionally Complex Alloys to Stabilize the τ Phase in Al–Mn‐Based Ferromagnetic Alloys

Advanced Engineering Materials, EarlyView.
This experimental study investigates the thermodynamic limits of the Al–Mn τ ferromagnetic phase within complex‐composition alloys (CCAs). Using nine rare‐earth‐free compositions, it explores a broad region of the pseudobinary AlMnCoFeNi system. The results reveal intricate links between composition, phase stability, and magnetic behavior, highlighting
Sacha Plagnol‐Chauzu, Laurent Peltier, Fodil Meraghni, Stéphane Delalande, Frédéric Mazaleyrat   +4 more
wiley   +1 more source

A Dislocation Perspective on Strength and Toughness in Ceramics

Advanced Engineering Materials, EarlyView.
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley   +1 more source

Turbulent impurity transport modeling for Alcator C-Mod

, 2013
Turbulent particle transport is investigated with a quasilinear theory that is motivated by the boron impurity transport experiments in the Alcator C-Mod.
Futatani, Shimpei, Horton, W.
core   +1 more source

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

Study of single impurity Anderson model and dynamical mean field theory based on equation-of-motion method

, 2009
In this thesis, we studied the single impurity Anderson model and developed a new and fast impurity solver for the dynamical mean field theory (DMFT). Using this new impurity solver, we studied the Hubbard model and periodic Anderson model for various ...
Feng, Qingguo
core