Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705422
A. Rumi, Jacopo Gabriele Marinelli, A. Cavallini
Qualification according to IEC 60034-18-41 considers the partial discharge inception voltage (PDIV) equivalent under different test voltage waveforms, assumption that can be surveyed. PDIV tests have been performed on unaged and thermally aged impregnated twisted pairs, models of the turn-turn insulation. Results revealed that the PDIV under SiC impulse voltages seems to be larger than the one achieved using AC sinusoidal voltages, but only for new samples as after aging they drop to comparable values, implying a larger reduction for the former. In this framework the resins play an important role, increasing the PDIV and hence helping achieving the desired reliability. Therefore, the evaluation dielectric properties of the resin became crucial for ensuring its performance.
{"title":"Converter Stress Impact on Thermally Aged Resin for Low-Voltage Machines","authors":"A. Rumi, Jacopo Gabriele Marinelli, A. Cavallini","doi":"10.1109/CEIDP50766.2021.9705422","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705422","url":null,"abstract":"Qualification according to IEC 60034-18-41 considers the partial discharge inception voltage (PDIV) equivalent under different test voltage waveforms, assumption that can be surveyed. PDIV tests have been performed on unaged and thermally aged impregnated twisted pairs, models of the turn-turn insulation. Results revealed that the PDIV under SiC impulse voltages seems to be larger than the one achieved using AC sinusoidal voltages, but only for new samples as after aging they drop to comparable values, implying a larger reduction for the former. In this framework the resins play an important role, increasing the PDIV and hence helping achieving the desired reliability. Therefore, the evaluation dielectric properties of the resin became crucial for ensuring its performance.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"6 1","pages":"40-43"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74488634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705395
Alhaytham Alqudsi, R. Ghunem, É. David
This paper investigates the use of the dry-arc resistance test for ranking the DC erosion resistance of silicone rubber composites. The study utilizes the test as a controllable testing method for accelerating the erosion of silicone rubber surfaces by creating heat ablation with a stable scintillation. Alumina trihydrate is filled in silicone rubber at different levels and tested using the dry-arc resistance test and outcomes are correlated with the outcomes of the +DC inclined plane tracking-erosion test. Comparatively ranking the erosion depth and eroded volume outcomes for both tests preliminarily indicates a direct correlation in the ranking order observed for the composites under both tests. Outcomes of thermogravimetric and differential thermal analyses suggest the ranking is correlated with the amount of depolymerized silicone rubber leaving the composite in the gaseous phase. Ranking the thermal analyses outcomes on the basis of the depolymerized silicone rubber content correlates with the DC erosion resistance outcomes under the dry-arc resistance test and the inclined plane test. The outcomes collectively signify the validity of using the dry-arc resistance test for ranking the DC erosion resistance of silicone rubber composites.
{"title":"Ranking the DC Erosion Resistance of Silicone Rubber Composites with the Dry-Arc Resistance Test","authors":"Alhaytham Alqudsi, R. Ghunem, É. David","doi":"10.1109/CEIDP50766.2021.9705395","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705395","url":null,"abstract":"This paper investigates the use of the dry-arc resistance test for ranking the DC erosion resistance of silicone rubber composites. The study utilizes the test as a controllable testing method for accelerating the erosion of silicone rubber surfaces by creating heat ablation with a stable scintillation. Alumina trihydrate is filled in silicone rubber at different levels and tested using the dry-arc resistance test and outcomes are correlated with the outcomes of the +DC inclined plane tracking-erosion test. Comparatively ranking the erosion depth and eroded volume outcomes for both tests preliminarily indicates a direct correlation in the ranking order observed for the composites under both tests. Outcomes of thermogravimetric and differential thermal analyses suggest the ranking is correlated with the amount of depolymerized silicone rubber leaving the composite in the gaseous phase. Ranking the thermal analyses outcomes on the basis of the depolymerized silicone rubber content correlates with the DC erosion resistance outcomes under the dry-arc resistance test and the inclined plane test. The outcomes collectively signify the validity of using the dry-arc resistance test for ranking the DC erosion resistance of silicone rubber composites.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"9 1","pages":"328-331"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90344849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705415
E. Zhang, Jiefeng Liu, Heng Zhang, C. Geng, Yiyi Zhang
Existing studies have only analyzed the evaluation mechanism of chemical indicators on the ‘uniform’ aging status of paper insulation. In view of this, this work explores the use of chemical indicators to characterize the degree of aging of paper insulation hot spots. Furthermore, the ternary chemical indicators are employed as assessment factors in order to eliminate the limitations of single indicators. Determine the influence model of temperature and moisture on methanol, ethanol and furfural. Then, based on the entropy weight method, the contribution of ternary chemical indicators in the assessment of paper insulation aging is obtained. Finally, according to the distribution law of the degree of polymerization along different heights in the uneven aging state, the relationship between the degree of polymerization of the insulating paper in the hot spots area (Tmax, DPmin) and the ternary indicators in the oil could be derived.
{"title":"Evaluation Model of Ternary Chemical Indicators for Aging Status of Paper Insulation at Transformer Winding Hot Spots","authors":"E. Zhang, Jiefeng Liu, Heng Zhang, C. Geng, Yiyi Zhang","doi":"10.1109/CEIDP50766.2021.9705415","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705415","url":null,"abstract":"Existing studies have only analyzed the evaluation mechanism of chemical indicators on the ‘uniform’ aging status of paper insulation. In view of this, this work explores the use of chemical indicators to characterize the degree of aging of paper insulation hot spots. Furthermore, the ternary chemical indicators are employed as assessment factors in order to eliminate the limitations of single indicators. Determine the influence model of temperature and moisture on methanol, ethanol and furfural. Then, based on the entropy weight method, the contribution of ternary chemical indicators in the assessment of paper insulation aging is obtained. Finally, according to the distribution law of the degree of polymerization along different heights in the uneven aging state, the relationship between the degree of polymerization of the insulating paper in the hot spots area (Tmax, DPmin) and the ternary indicators in the oil could be derived.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"17 1","pages":"555-558"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90436793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705439
H. Uehara, T. Okamoto, Y. Sekii, S. Iwata, T. Takada
Measurements using the direct current integrated charge method (Q(t) method) revealed that the low-density polyethylene with phenolic antioxidants (LDPE+AO) sample had higher electric field characteristics and heat resistances than the cross-linked polyethylene (XLPE) sample. In this study, we analyzed the high electric field characteristics and heat resistance of the LDPE+AO sample from the standpoint of charge trap depth using molecular dynamics (MD) simulation and quantum chemical calculation. The results showed that AO addition was involved in the formation of deep charge traps.
{"title":"Analysis of Charge Trap Depth Using Q(t) Method and Quantum Chemical Calculation in XLPE and PE with Phenolic Antioxidant","authors":"H. Uehara, T. Okamoto, Y. Sekii, S. Iwata, T. Takada","doi":"10.1109/CEIDP50766.2021.9705439","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705439","url":null,"abstract":"Measurements using the direct current integrated charge method (Q(t) method) revealed that the low-density polyethylene with phenolic antioxidants (LDPE+AO) sample had higher electric field characteristics and heat resistances than the cross-linked polyethylene (XLPE) sample. In this study, we analyzed the high electric field characteristics and heat resistance of the LDPE+AO sample from the standpoint of charge trap depth using molecular dynamics (MD) simulation and quantum chemical calculation. The results showed that AO addition was involved in the formation of deep charge traps.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"60 1","pages":"454-457"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90622807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705438
Donghui Li, Mychal P. Spencer, Y. Ni, Madhusudhan Reddy Pallaka, Andy Zwoster, L. Fifield
To ensure the safe operation of nuclear power plants (NPPs), it is critical to understand how NPP electrical cable insulation will degrade under different service environments. In this study, various nondestructive examination methods were selected to evaluate degradation of electrical cable insulation after aging. Elongation at break, indenter modulus, relaxation constant, mass change, total color difference, and carbonyl index were collected stepwise on cross-linked polyethylene (XLPE) cable insulations after predetermined exposure intervals. Three different insulation aging scenarios were investigated: 1) simultaneous irradiation and heating at 150°C, 2) heating at 150°C followed by corresponding times of irradiation at ambient temperature, and 3) irradiation at ambient temperature followed by heating at 150°C for the same duration. A constant dose rate of 300 Gy/hr was selected with a total gamma irradiation absorbed dose up to 320 kGy. To gain insight into the long-term performance of NPP electrical cable insulation, principal component analysis (PCA), a data-driven approach, was utilized to identify key indicators of cable insulation degradation. By reducing the dimensionality of the data while retaining degradation information, PCA was used to highlight the changes in the measured properties under gamma irradiation according to total absorbed dose and the different aging scenarios.
{"title":"Application of Principal Component Analysis for the Monitoring of the Aging Process of Nuclear Electrical Cable Insulation","authors":"Donghui Li, Mychal P. Spencer, Y. Ni, Madhusudhan Reddy Pallaka, Andy Zwoster, L. Fifield","doi":"10.1109/CEIDP50766.2021.9705438","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705438","url":null,"abstract":"To ensure the safe operation of nuclear power plants (NPPs), it is critical to understand how NPP electrical cable insulation will degrade under different service environments. In this study, various nondestructive examination methods were selected to evaluate degradation of electrical cable insulation after aging. Elongation at break, indenter modulus, relaxation constant, mass change, total color difference, and carbonyl index were collected stepwise on cross-linked polyethylene (XLPE) cable insulations after predetermined exposure intervals. Three different insulation aging scenarios were investigated: 1) simultaneous irradiation and heating at 150°C, 2) heating at 150°C followed by corresponding times of irradiation at ambient temperature, and 3) irradiation at ambient temperature followed by heating at 150°C for the same duration. A constant dose rate of 300 Gy/hr was selected with a total gamma irradiation absorbed dose up to 320 kGy. To gain insight into the long-term performance of NPP electrical cable insulation, principal component analysis (PCA), a data-driven approach, was utilized to identify key indicators of cable insulation degradation. By reducing the dimensionality of the data while retaining degradation information, PCA was used to highlight the changes in the measured properties under gamma irradiation according to total absorbed dose and the different aging scenarios.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"39 1","pages":"514-517"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72938544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705463
Mijodrag Miljanovic, Martin Kearns, B. Stewart
Partial discharge (PD) is one of the main failure contributors in medium voltage (MV) and high voltage (HV) equipment. Left unattended it can lead to service outages of electrical power system. In the case of air insulated MV switchgear equipment there is still need to identify the most effective placement of sensors for PD detection. To assist in optimizing sensor placement, a three-dimensional (3-D) finite element method (FEM) switchgear compartment model with bus bars is developed to study the propagation of electromagnetic waves generated by PD. The distribution of propagated electric field generated within the bus bar compartment from PD at two different locations is studied in the time domain. The simulations provide an improved understanding of the radiated frequency (RF) propagation signals within the internal design, thus understanding better the complex propagation paths to enable future sensor optimization positions.
{"title":"Simulation of Partial Discharge Electromagnetic Wave Propagation in a Switchgear Compartment","authors":"Mijodrag Miljanovic, Martin Kearns, B. Stewart","doi":"10.1109/CEIDP50766.2021.9705463","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705463","url":null,"abstract":"Partial discharge (PD) is one of the main failure contributors in medium voltage (MV) and high voltage (HV) equipment. Left unattended it can lead to service outages of electrical power system. In the case of air insulated MV switchgear equipment there is still need to identify the most effective placement of sensors for PD detection. To assist in optimizing sensor placement, a three-dimensional (3-D) finite element method (FEM) switchgear compartment model with bus bars is developed to study the propagation of electromagnetic waves generated by PD. The distribution of propagated electric field generated within the bus bar compartment from PD at two different locations is studied in the time domain. The simulations provide an improved understanding of the radiated frequency (RF) propagation signals within the internal design, thus understanding better the complex propagation paths to enable future sensor optimization positions.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"35 1","pages":"615-618"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72954461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705403
Lijuan Zhu, Xi Yang, Shaorui Qin, Xuhai Zhan, Li Yang, Yezhi Wu
The function of jumper is to connect the tension clamps on both sides of the strain tower, so that the live wire can keep enough electrical distance from the conductive part of the tower. However, because of the complex structure of jumper, the surface electric field is easy to be distorted. It is of great significance for high voltage AC transmission lines to analyze and study the surface electric field distribution of jumpers and suppress corona discharge. In order to study the surface electric field distribution of jumpers, we used the finite element method and the 3D finite element analysis software ANSYS to model, simulated and calculated the surface electric field distribution of the 220 kV tension tower jumpers. We simulate and calculate the surface electric field distribution of 220 kV tension tower jumper, and compare and analyze the influence of split spacing, cross-sectional area, split number, single and double circuits and phase sequence on the surface electric field intensity of jumper.
{"title":"Study on surface electric field distribution of jumper in 220 kV tension tower","authors":"Lijuan Zhu, Xi Yang, Shaorui Qin, Xuhai Zhan, Li Yang, Yezhi Wu","doi":"10.1109/CEIDP50766.2021.9705403","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705403","url":null,"abstract":"The function of jumper is to connect the tension clamps on both sides of the strain tower, so that the live wire can keep enough electrical distance from the conductive part of the tower. However, because of the complex structure of jumper, the surface electric field is easy to be distorted. It is of great significance for high voltage AC transmission lines to analyze and study the surface electric field distribution of jumpers and suppress corona discharge. In order to study the surface electric field distribution of jumpers, we used the finite element method and the 3D finite element analysis software ANSYS to model, simulated and calculated the surface electric field distribution of the 220 kV tension tower jumpers. We simulate and calculate the surface electric field distribution of 220 kV tension tower jumper, and compare and analyze the influence of split spacing, cross-sectional area, split number, single and double circuits and phase sequence on the surface electric field intensity of jumper.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"3 1","pages":"474-477"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88486373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.3929/ETHZ-B-000505360
F. Küchler, E. R. Lötscher, R. Färber, C. Franck
Resistivity investigations of polymers by polarization-depolarization current (PDC) measurements are often limited due to the high resistivity of these materials. In the present work, this technique, which is established especially for insulating liquids and pressboard, is applied to a broad range of polymeric samples for both volume and surface resistivity analysis. For this purpose, an appropriate PDC setup is presented and crucial prerequisites for accurate low-current measurements in the (sub-)pA range are discussed. The results demonstrate that a steady-state volume resistivity measurement result is reached much faster than with classic polarization current measurements. Even for surface resistivity measurements, benefits are achieved by PDCs as they are shown to reveal the time-characteristics of parasitic volume currents and/or surface charge accumulation. Volume resistivity determination by PDC measurements indicate the presence of electrode-controlled Schottky conduction for the investigated samples. Large resistivity variations (almost two orders of magnitude) and non-uniform electric field dependences are found between different types of electrode-sample contacts. In order to evaluate the influence of different electrode-sample contacts, a method based on broadband dielectric spectroscopy (BDS) is proposed and applied. It also allows the estimation of the average air gap between sample and applied electrodes. Furthermore, it is found that dielectric microlayers of adhesive tape electrodes strongly influence the measured permittivity and resistivity values especially for thin samples by introduction of additional polarization processes.
{"title":"Polarization-Depolarization Current (PDC) Measurements for Volume and Surface Resistivity Analysis of Polymeric Materials","authors":"F. Küchler, E. R. Lötscher, R. Färber, C. Franck","doi":"10.3929/ETHZ-B-000505360","DOIUrl":"https://doi.org/10.3929/ETHZ-B-000505360","url":null,"abstract":"Resistivity investigations of polymers by polarization-depolarization current (PDC) measurements are often limited due to the high resistivity of these materials. In the present work, this technique, which is established especially for insulating liquids and pressboard, is applied to a broad range of polymeric samples for both volume and surface resistivity analysis. For this purpose, an appropriate PDC setup is presented and crucial prerequisites for accurate low-current measurements in the (sub-)pA range are discussed. The results demonstrate that a steady-state volume resistivity measurement result is reached much faster than with classic polarization current measurements. Even for surface resistivity measurements, benefits are achieved by PDCs as they are shown to reveal the time-characteristics of parasitic volume currents and/or surface charge accumulation. Volume resistivity determination by PDC measurements indicate the presence of electrode-controlled Schottky conduction for the investigated samples. Large resistivity variations (almost two orders of magnitude) and non-uniform electric field dependences are found between different types of electrode-sample contacts. In order to evaluate the influence of different electrode-sample contacts, a method based on broadband dielectric spectroscopy (BDS) is proposed and applied. It also allows the estimation of the average air gap between sample and applied electrodes. Furthermore, it is found that dielectric microlayers of adhesive tape electrodes strongly influence the measured permittivity and resistivity values especially for thin samples by introduction of additional polarization processes.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"65 1","pages":"17-22"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87210659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/CEIDP50766.2021.9705391
M. Sato
First-principles calculation and data-centric approach have become powerful tools for materials design. In this study, we introduce our latest research outcomes that are related to computational dielectric materials science. The main contents are as follows: (1) first-principles-based multiscale modeling of electronic charge transfer and molecular dynamics simulation of ionic carrier transfer in polymer dielectrics, (2) first-principles modeling of the inorganic filler/polymer interface and charge injection from the (metal) electrode to polymer dielectrics, and (3) a combined first-principles and machine learning approach for predicting dielectric properties of various materials. The recent advances in the atomistic understanding of the electrical properties of dielectric materials is highlighted. In addition, we show that, with this knowledge of the underlying physics, one can develop a machine learning model that can accurately predict the physical properties, albeit with only a small dataset.
{"title":"First-Principles Modeling in the Context of Dielectric Materials Science and Design","authors":"M. Sato","doi":"10.1109/CEIDP50766.2021.9705391","DOIUrl":"https://doi.org/10.1109/CEIDP50766.2021.9705391","url":null,"abstract":"First-principles calculation and data-centric approach have become powerful tools for materials design. In this study, we introduce our latest research outcomes that are related to computational dielectric materials science. The main contents are as follows: (1) first-principles-based multiscale modeling of electronic charge transfer and molecular dynamics simulation of ionic carrier transfer in polymer dielectrics, (2) first-principles modeling of the inorganic filler/polymer interface and charge injection from the (metal) electrode to polymer dielectrics, and (3) a combined first-principles and machine learning approach for predicting dielectric properties of various materials. The recent advances in the atomistic understanding of the electrical properties of dielectric materials is highlighted. In addition, we show that, with this knowledge of the underlying physics, one can develop a machine learning model that can accurately predict the physical properties, albeit with only a small dataset.","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"66 1","pages":"85-88"},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82118090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.1109/ceidp50766.2021.9705319
{"title":"[CEIDP 2021 Front cover]","authors":"","doi":"10.1109/ceidp50766.2021.9705319","DOIUrl":"https://doi.org/10.1109/ceidp50766.2021.9705319","url":null,"abstract":"","PeriodicalId":6837,"journal":{"name":"2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82131352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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