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electronics desktop hfss 2024 r2  (ANSYS inc)

 
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    ANSYS inc electronics desktop hfss 2024 r2
    Electronics Desktop Hfss 2024 R2, supplied by ANSYS inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/hfss+2024+r2/ansys+hfss/pm40096581-65-5-12
    Average 90 stars, based on 1 article reviews
    electronics desktop hfss 2024 r2 - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Concentration Assay:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Viscosity:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Diffusion-based Assay:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Pore Size:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Polymer:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Comparison:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Control:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Solvent:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Impedance Spectroscopy:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Activity Assay:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Software:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Modification:

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
    Article Snippet: , , - total current: 1.42–2.92 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.43–3.28 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 2.37–3.74 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).



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    Method of analysis applied for the considered supercapacitor materials. Comparison with the results and methods indicated in the literature.
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    Method of analysis applied for the considered supercapacitor materials. Comparison with the results and methods indicated in the literature.

    Journal: Polymers

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations

    doi: 10.3390/polym16233404

    Figure Lengend Snippet: Method of analysis applied for the considered supercapacitor materials. Comparison with the results and methods indicated in the literature.

    Article Snippet: , , - total current: 1.09–1.90 A Correlated parameters: level 1: electrolyte concentration, ionic mobility - total current: 1.09–1.92 A Correlated parameters: level 2: surface area, charge transfer coefficient - total current: 1.38–2.89 A Correlated parameters: level 3: electrode conductivity, external electrical field , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance, chemical bond length, bond angles, dihedral angles - external parameters: electric field for charging and testing, temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Techniques: Comparison, Control, Solvent, Concentration Assay, Impedance Spectroscopy, Viscosity, Diffusion-based Assay, Pore Size, Polymer, Activity Assay

    Method of analysis applied for the considered supercapacitor materials. Comparison with the results and methods indicated in the literature.

    Journal: Polymers

    Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations

    doi: 10.3390/polym16233404

    Figure Lengend Snippet: Method of analysis applied for the considered supercapacitor materials. Comparison with the results and methods indicated in the literature.

    Article Snippet: , , - total current: 1.30–2.52 A for (a); 1.15–1.80 A for (b) Correlated parameters: level 1: electrolyte concentration, ionic mobility , - electrolyte parameters: concentration; ion size; number of charge carriers; ionic mobility and valency of the ions; viscosity - electrode parameters: conductivity; charge mobility; surface area; ion diffusion efficiency; pore size; crystalline structures or polymer structure of the basis material; doping level; structural morphology - molecular structure parameters: atomic group/bead distance; chemical bond length; bond angles; dihedral angles - external parameters: electric field for charging and testing; temperature , similar , - Structure description: (CGMD) model combined with the atomistic model; - (DPD) model—for conductivity determination; - Gouy–Chapman–Stern model to describe the double layer; - Randles–Sevcik equation to estimate the electrochemical peak current; - Simulation programs (HFSS: Ansys HFSS 2024 R2, Mathcad PTC Mathcad Prime 9).

    Techniques: Comparison, Control, Solvent, Concentration Assay, Impedance Spectroscopy, Viscosity, Diffusion-based Assay, Pore Size, Polymer, Activity Assay