highfrequency structure simulator (hfss) software ansys electronics 2024 r2 version (ANSYS inc)

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ANSYS inc highfrequency structure simulator (hfss) software ansys electronics 2024 r2 version
Highfrequency Structure Simulator (Hfss) Software Ansys Electronics 2024 R2 Version, 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%3A+ansys+hfss+2024+r2/ansys+hfss/10__1016_slash_j__compscitech__2025__111108-68-17-22
Average 90 stars, based on 1 article reviews

highfrequency structure simulator (hfss) software ansys electronics 2024 r2 version - by Bioz Stars, 2026-10

90/100 stars

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Concentration Assay:

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

Article Title: Prediction of the Specific Energy of Supercapacitors with Polymeric Materials Using Advanced Molecular Dynamics Simulations
Article Snippet: , , - total current: 1.05–1.8 A 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: 1.05–1.8 A 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: 1.05–1.8 A 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: 1.05–1.8 A 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: 1.05–1.8 A 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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