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1-20 of 1340 Search Results for
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Images
in Affect in Physics Learning: Entanglement with Cognition and Learning Goals
> The International Handbook of Physics Education Research: Learning Physics
Published: March 2023
FIG. 14.2 Axis representing how research has conceptualized the relationship between cognition and affect from least to most entangled. More about this image found in Axis representing how research has conceptualized the relationship between ...
Images
in Affect in Physics Learning: Entanglement with Cognition and Learning Goals
> The International Handbook of Physics Education Research: Learning Physics
Published: March 2023
FIG. 14.3 Axis representing how research has conceptualized learning goals in physics with respect to affect from least radical (most traditional) to most radical. More about this image found in Axis representing how research has conceptualized learning goals in physics...
Images
in Multi-Objective Optimization of the Solar Photovoltaic System for Better Sustainability
> Toward Better Photovoltaic SystemsDesign, Simulation, Optimization, Analysis, and Operations
Published: March 2023
FIG. 3.2 Representative timeline for PV model classification used in this chapter. More about this image found in Representative timeline for PV model classification used in this chapter.
Images
in Adsorption Enhanced Reforming for High-Efficiency Hydrogen Generation
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 4.10 Two representative cyclic operations. More about this image found in Two representative cyclic operations.
Images
in Modeling Biomass Degradation with Multiscale kMC Simulations
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 11.8 Spatiotemporal evolution of ten representative kMC lattice examples. More about this image found in Spatiotemporal evolution of ten representative kMC lattice examples.
Images
in Strain Engineering in 2-2 Multilayered Magneto-Electric (ME) Nanocomposites
> Strain Engineering in Functional Materials and Devices
Published: March 2023
FIG. 10.6 (a) The figure represents alpha(α) scan performed around BCZT (110) and CFO (311) reflections of the ME composite and (110) reflection of individual BCZT film. Inset shows the GIXRD scan of the composite at different grazing angles (α = 0.45° 0.50°, and 0.55°). (b) Variation of percent change in Δ peak broadening of BCZT (110) and peak broadening of ME composite BCZT (110) with respect to grazing incidence angle. More about this image found in (a) The figure represents alpha(α) scan performed around BCZT (110) and CFO...
Images
in Strain Engineering in 2-2 Multilayered Magneto-Electric (ME) Nanocomposites
> Strain Engineering in Functional Materials and Devices
Published: March 2023
FIG. 10.8 (a) Schematic representing magnetic field-assisted PFM (b) topography image (cross mark shows the point where the measurement was taken). (c) shows d33 measurements on the ME multilayer with periodicity n = 40 nm in the presence of both with and without a magnetic field (500 Oe). (d) Percentage increase in d33 in the presence of a magnetic field. More about this image found in (a) Schematic representing magnetic field-assisted PFM (b) topography image...
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in Strain Engineering in Crystalline Solids
> Strain Engineering in Functional Materials and Devices
Published: March 2023
FIG. 1.10 Schematic of epitaxially grown unit cells representing a film under planar compressive strain. More about this image found in Schematic of epitaxially grown unit cells representing a film under planar ...
Images
in Strain Engineering in Crystalline Solids
> Strain Engineering in Functional Materials and Devices
Published: March 2023
FIG. 1.11 Schematic of epitaxially grown unit cells representing a film under planar tensile strain. More about this image found in Schematic of epitaxially grown unit cells representing a film under planar ...
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in Data-Driven Adaptive Sparse Modeling of Chemical Process Systems
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 10.3 Model predictive control using the proposed OASIS algorithm. xe represents the estimated concentration values and xm represents the measured temperature values. More about this image found in Model predictive control using the proposed OASIS algorithm. x...
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in Argumentation in Physics Education Research: Recent Trends and Key Themes
> The International Handbook of Physics Education Research: Learning Physics
Published: March 2023
FIG. 16.4 Newton's geometric demonstration of Kepler's second law (left) and a Feynman diagram representing electron–positron interaction (right). More about this image found in Newton's geometric demonstration of Kepler's second law (left) and a Feynma...
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in New Methodological Approaches Toward Implementing HPS in Physics Education: The Landscape of Physics Education
> The International Handbook of Physics Education Research: Special Topics
Published: March 2023
FIG. 13.4 With the yellow ball as the sun, and planets on wires extending from it, children represent Tycho Brahe's model ( Piliouras et al., 2011 , p. 776). More about this image found in With the yellow ball as the sun, and planets on wires extending from it, ch...
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in Monetizing Shale Gas to Chemicals Under Mixed Uncertainty
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 1.3 Experimental design and calculation sequence using KSM. Herein Si and Ci represent the ith step and the corresponding components ( He et al., 2018 ). More about this image found in Experimental design and calculation sequence using KSM. Herein S...
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in Control-Oriented Hybrid Modeling Framework for Building Thermal Modeling
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 9.7 Three-day prediction with the resulting full model. The solid trajectories represent actual values, the dashed trajectories are predicted values, and the dotted trajectories are the setpoint. More about this image found in Three-day prediction with the resulting full model. The solid trajectories ...
Images
in Cyberphysical Systems and Energy: A Discussion with Reference to an Enhanced Geothermal Process
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 8.15 Closed-loop system under proportional control for a linear process. The set-point and its comparison with the measurement are not represented in this diagram, but the set-point for x is 0. More about this image found in Closed-loop system under proportional control for a linear process. The set...
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in Framework for and Review of Research on Assessing and Improving Equity and Inclusion in Undergraduate Physics Learning Environments
> The International Handbook of Physics Education Research: Special Topics
Published: March 2023
FIG. 2.3 Results of the path analysis part of SEM models 1–4 show how the relationship between gender and physics identity is mediated through self-efficacy, interest, and perceived recognition (P.R.). (a) In model 1, there are only covariances between each pair of constructs: self-efficacy, P.R., and interest. (b) In model 2, self-efficacy predicts interest and P.R., and interest predicts P.R. (c) In model 3, interest predicts self-efficacy and P.R., and self-efficacy predicts P.R. (d) In model 4, P.R. predicts interest and self-efficacy, and self-efficacy predicts interest. The dashed lines represent residual covariances between constructs. The solid lines represent regression paths, and the numbers on the lines are standardized regression coefficients (β values), which represent the strength of the regression relations. Each regression line thickness qualitatively corresponds to the magnitude of the β value. Regression coefficients with p < 0.050 are indicated by superscript ***, p < 0.010 are indicated by superscript **, and p ≤ 0.001 are indicated by no superscript. For clarity, we have removed the statistically insignificant regression paths from gender to identity or gender to P.R. and self-efficacy in models 2 and 3. More about this image found in Results of the path analysis part of SEM models 1–4 show how the relationsh...
Images
Published: March 2023
FIG. 1.2 An example of a pictorial representation from Wittmann et al. (1999) . Questions typically ask students to draw the shape of the rope at a specific time. This time is typically set to when the bases of the pulses overlap or when they have already passed each other. Variations of this picture represent one of the pulses higher or inverted. More about this image found in An example of a pictorial representation from Wittmann et al....
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in Design and Optimization of Natural Gas Purification with Ionic Liquids
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 3.9 Color-filled IGM maps for different complexes. The isovalue of IGM is 0.01, and the surface sign (λ2)ρ value is represented according to the color-filled column at the bottom ranging from −0.05 to 0.05 au. Reprinted with permission from Gui et al., ACS Sustain. Chem. Eng. 9 (17), 6033–6047 (2021). Copyright 2021 American Chemical Society. More about this image found in Color-filled IGM maps for different complexes. The isovalue of IGM is 0.01,...
Images
in Design and Optimization of Natural Gas Purification with Ionic Liquids
> Energy Systems and ProcessesRecent Advances in Design and Control
Published: March 2023
FIG. 3.9 Color-filled IGM maps for different complexes. The isovalue of IGM is 0.01, and the surface sign (λ2)ρ value is represented according to the color-filled column at the bottom ranging from −0.05 to 0.05 au. Reprinted with permission from Gui et al., ACS Sustain. Chem. Eng. 9 (17), 6033–6047 (2021). Copyright 2021 American Chemical Society. More about this image found in Color-filled IGM maps for different complexes. The isovalue of IGM is 0.01,...
Images
in Substrate Strain Induced Effects on Multiferroic Epilayers
> Strain Engineering in Functional Materials and Devices
Published: March 2023
FIG. 7.12 (a) The out-of-plane and (b) in-plane phase contrast image obtained from BFO with rhombohedral phase grown on LSMO∼20 nm and (c) the corresponding out-of-plane domain contrast obtained from phase field modeling, representing more of a fractal domain as present in the rhombohedral phase o... More about this image found in (a) The out-of-plane and (b) in-plane phase contrast image obtained from BF...
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