Yongcun Zhou, Siqi Wu, Pengli Zhu, Feixiang Wu, Feng Liu, Vignesh Murugadoss, W. Winchester, Amit Nautiyal, Zhe Wang, Zhanhu Guo
Yongcun Zhou,1,2,* Siqi Wu,1 Pengli Zhu,3 Feixiang Wu4 and Feng Liu1,5 Vignesh Murugadoss,6,7 Williams Winchester,8 Amit Nautiyal,8 Zhe Wang8,* and Zhanhu Guo7,* 1School of Material Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China 2Yangtze River Delta Research Institute of NPU, Taicang 215400, China Shenzhen Institute of Advanced Electronic Materials, Shenzhen Fundamental Research Institutions, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China 4School of Metallurgy and Environment, Central South University, Changsha 410083, China Analytical & Testing Center, Northwestern Polytechnical University, Xi’an 710072, China Electro-Materials Research Laboratory, Centre for Nanoscience and Technology, Pondicherry University, Puducherry 605014, India Integrated Composites Laboratory (ICL), Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA Chemistry Department, Xavier University of Louisiana, New Orleans 70125, USA *E-mail: yczhou@nwpu.edu.cn; zwang@xula.edu; zguo10@utk.edu, nanomaterials2000@gmail.com
周永存，1,2，*吴思琪，1朱鹏力，3吴飞翔4，刘峰1,2,5 Vignesh Murugadoss,6,7 Williams Winchester,8 Amit nautial,8王哲8，*，郭展虎7，* 1西北工业大学材料科学与工程学院，西安710072 2西北工业大学长三角研究所，太仓215400，中国深圳先进电子材料研究所，深圳基础研究院，深圳先进技术研究院，4中南大学冶金与环境学院，长沙410083;西北工业大学分析测试中心，西安710072;本地治里大学纳米科学与技术中心，中国电材料研究实验室，普杜切里605014;田纳西大学化学与生物分子工程系，印度集成复合材料实验室，田纳西州诺克斯维尔37996;路易斯安那泽维尔大学化学系，新奥尔良70125 *E-mail: yczhou@nwpu.edu.cn;zwang@xula.edu;zguo10@utk.edu, nanomaterials2000@gmail.com
{"title":"Correction: Recent Advances in Thermal Interface Materials","authors":"Yongcun Zhou, Siqi Wu, Pengli Zhu, Feixiang Wu, Feng Liu, Vignesh Murugadoss, W. Winchester, Amit Nautiyal, Zhe Wang, Zhanhu Guo","doi":"10.30919/esmm5f940","DOIUrl":"https://doi.org/10.30919/esmm5f940","url":null,"abstract":"Yongcun Zhou,1,2,* Siqi Wu,1 Pengli Zhu,3 Feixiang Wu4 and Feng Liu1,5 Vignesh Murugadoss,6,7 Williams Winchester,8 Amit Nautiyal,8 Zhe Wang8,* and Zhanhu Guo7,* 1School of Material Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China 2Yangtze River Delta Research Institute of NPU, Taicang 215400, China Shenzhen Institute of Advanced Electronic Materials, Shenzhen Fundamental Research Institutions, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China 4School of Metallurgy and Environment, Central South University, Changsha 410083, China Analytical & Testing Center, Northwestern Polytechnical University, Xi’an 710072, China Electro-Materials Research Laboratory, Centre for Nanoscience and Technology, Pondicherry University, Puducherry 605014, India Integrated Composites Laboratory (ICL), Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN 37996, USA Chemistry Department, Xavier University of Louisiana, New Orleans 70125, USA *E-mail: yczhou@nwpu.edu.cn; zwang@xula.edu; zguo10@utk.edu, nanomaterials2000@gmail.com","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74190952","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}
H. Pathan, Balasaheb M. Palve, esh R. Jadkar, O. Joo
Copper selenide (Cu 3 Se 2 ) nanocrystals were successfully synthesized on glass substrate by the chemical bath deposition technique. The room temperature formation of Cu 3 Se 2 from the reaction between Cu-ions and selenosulfate in aqueous solution was investigated. The resulting precipitate from the reaction of Cu-ions and selenosulfate was initially light green (mainly a mixture of amorphous Cu 2 SO 3 .CuSO 3 and Cu(OH) 2 ) and turned to greenish brown and finally brownish (mainly Cu 3 Se 2 ). Cu 3 Se 2 was formed via the hydroxide cluster mechanism and reaction between Cu(OH) 2 and the slowly generated Se 2-ions. The Cu 3 Se 2 exhibited a disordered phase and small nanocrystals in the range of 2 to 5 nm. The formation mechanism of different phases of copper selenide by chemical bath deposition technique were explained in details.
{"title":"Nanocrystalline Copper Selenide formation by Direct Reaction between Cu-ions and Selenosulfate","authors":"H. Pathan, Balasaheb M. Palve, esh R. Jadkar, O. Joo","doi":"10.30919/esmm5f905","DOIUrl":"https://doi.org/10.30919/esmm5f905","url":null,"abstract":"Copper selenide (Cu 3 Se 2 ) nanocrystals were successfully synthesized on glass substrate by the chemical bath deposition technique. The room temperature formation of Cu 3 Se 2 from the reaction between Cu-ions and selenosulfate in aqueous solution was investigated. The resulting precipitate from the reaction of Cu-ions and selenosulfate was initially light green (mainly a mixture of amorphous Cu 2 SO 3 .CuSO 3 and Cu(OH) 2 ) and turned to greenish brown and finally brownish (mainly Cu 3 Se 2 ). Cu 3 Se 2 was formed via the hydroxide cluster mechanism and reaction between Cu(OH) 2 and the slowly generated Se 2-ions. The Cu 3 Se 2 exhibited a disordered phase and small nanocrystals in the range of 2 to 5 nm. The formation mechanism of different phases of copper selenide by chemical bath deposition technique were explained in details.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81552059","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}
Artificial intelligence (AI)/machine learning (ML) are an active research field, which has shown a great success in various commercial applications. It will play an important role and have a great impact on many fields of science and engineering, in particular materials and manufacturing. In the past decades, AI and ML have become a crucial complement to theoretical, computational modeling, and experimental aspects in Engineering and Science. AI and ML models have great potentials particularly in the research areas where the mechanism is still not completely well-understood, or the computational models are too expensive to run to obtain accurate solutions at desired spatiotemporal resolutions. In this work, we introduce some recent work and promising research directions to integrate AI and ML in Engineering and Science. We attempt to provide a broader perspective, open challenges and unique opportunities on integrating AI, theory, modeling and experiments in the fields of materials and manufacturing. First, experiments or computational models can be employed to generate data to train the AI/ML models. The trained AI/ML models can be viewed as a fast surrogate model of the corresponding time-consuming experiments or computational models. A convolutional encoder-decoder networks with quantified uncertainty (ConvPDE-UQ) was developed to predict the solutions of partial differential equations on varied domains, which was much faster than the traditional finite element solver. A deep neural networks named Peri-Net was designed for analysis of crack patterns, which is much faster than the peridynamics solver. A deep neural process with a quantified uncertainty capability named Peri-Net-Pro was developed for analysis of crack patterns. Second, theory and physics laws can be integrated with AI/ML models. The application of AI/ML models in science and engineering domains is facing some grand challenges due to the large data requirements and lack of generalizability. Recently various novel AI/ML models have been proposed to integrate both scientific knowledge and data together Third, AI/ML models also can be employed to automatically discover theory, in particular, the physical laws. Various AI/ML models have been developed to automatically discover ordinary differential equations and partial differential equations. Uncertainty quantifications for the discovery of physical laws using AI/ML models have also been investigated. Fourth, in many applications in materials and manufacturing, it is expensive or time-consuming to collect experimental or simulation data. To resolve such challenges, active learning models can be employed to design optimal experiments and computational model simulations to greatly enhance the predictive capability of the AI/ML models with reduced experimental or simulation data size. An adaptive design criterion combining the D-optimality and the maximin space-filling criterion has been designed and demonstrated its capability. Fifth,
{"title":"Integrating Artificial Intelligence, Theory, Modeling and Experiments – Perspectives, Challenges, and Opportunities in Materials and Manufacturing","authors":"Guang Lin, Na Lu","doi":"10.30919/esmm5f915","DOIUrl":"https://doi.org/10.30919/esmm5f915","url":null,"abstract":"Artificial intelligence (AI)/machine learning (ML) are an active research field, which has shown a great success in various commercial applications. It will play an important role and have a great impact on many fields of science and engineering, in particular materials and manufacturing. In the past decades, AI and ML have become a crucial complement to theoretical, computational modeling, and experimental aspects in Engineering and Science. AI and ML models have great potentials particularly in the research areas where the mechanism is still not completely well-understood, or the computational models are too expensive to run to obtain accurate solutions at desired spatiotemporal resolutions. In this work, we introduce some recent work and promising research directions to integrate AI and ML in Engineering and Science. We attempt to provide a broader perspective, open challenges and unique opportunities on integrating AI, theory, modeling and experiments in the fields of materials and manufacturing. First, experiments or computational models can be employed to generate data to train the AI/ML models. The trained AI/ML models can be viewed as a fast surrogate model of the corresponding time-consuming experiments or computational models. A convolutional encoder-decoder networks with quantified uncertainty (ConvPDE-UQ) was developed to predict the solutions of partial differential equations on varied domains, which was much faster than the traditional finite element solver. A deep neural networks named Peri-Net was designed for analysis of crack patterns, which is much faster than the peridynamics solver. A deep neural process with a quantified uncertainty capability named Peri-Net-Pro was developed for analysis of crack patterns. Second, theory and physics laws can be integrated with AI/ML models. The application of AI/ML models in science and engineering domains is facing some grand challenges due to the large data requirements and lack of generalizability. Recently various novel AI/ML models have been proposed to integrate both scientific knowledge and data together Third, AI/ML models also can be employed to automatically discover theory, in particular, the physical laws. Various AI/ML models have been developed to automatically discover ordinary differential equations and partial differential equations. Uncertainty quantifications for the discovery of physical laws using AI/ML models have also been investigated. Fourth, in many applications in materials and manufacturing, it is expensive or time-consuming to collect experimental or simulation data. To resolve such challenges, active learning models can be employed to design optimal experiments and computational model simulations to greatly enhance the predictive capability of the AI/ML models with reduced experimental or simulation data size. An adaptive design criterion combining the D-optimality and the maximin space-filling criterion has been designed and demonstrated its capability. Fifth,","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77642264","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}
Zinc phosphate coating, as an effective and fast anticorrosion technique for the metals, have been developed rapidly in recent years. However, it is still a challenge to synthesize a low energy, environmentally friendly and efficient accelerator through a facile method. Herein, as a new accelerator, polypyrrole (PPy) functionalized graphene oxide (GO-PPy) nanocomposites were prepared by in-situ process to grow PPy film on GO surface, Incorporation of GO-PPy into phosphate baths accelerated the phosphating process of phosphate coating and promoted the nucleation and growth of phosphate crystals, achieving stronger corrosion resistance, which were confirmed by electrochemical measures and morphologies characteristic of the phosphate coating. Additionally, when the concentration of GO-PPy in the phosphate baths reached up 1.2 g/L, the phosphate coating possessed the most compact and uniform phosphate crystals and the best corrosion protection performance. Finally, the special mechanism of the phosphate process was discussed. This work introduces a new, low-energy, facile, environmentally friendly and alternative accelerator for the preparation of phosphate coatings.
{"title":"Polypyrrole Functionalized Graphene Oxide Accelerated Zinc Phosphate Coating under Low-Temperature","authors":"Qingsong Zhu, Jingguang Liu, Xin Wang, Yuxiang Huang, Yingtao Ren, Chenzhong Mu, Xianhu Liu, Feng Wei, Chuntai Liu","doi":"10.30919/esmm5f927","DOIUrl":"https://doi.org/10.30919/esmm5f927","url":null,"abstract":"Zinc phosphate coating, as an effective and fast anticorrosion technique for the metals, have been developed rapidly in recent years. However, it is still a challenge to synthesize a low energy, environmentally friendly and efficient accelerator through a facile method. Herein, as a new accelerator, polypyrrole (PPy) functionalized graphene oxide (GO-PPy) nanocomposites were prepared by in-situ process to grow PPy film on GO surface, Incorporation of GO-PPy into phosphate baths accelerated the phosphating process of phosphate coating and promoted the nucleation and growth of phosphate crystals, achieving stronger corrosion resistance, which were confirmed by electrochemical measures and morphologies characteristic of the phosphate coating. Additionally, when the concentration of GO-PPy in the phosphate baths reached up 1.2 g/L, the phosphate coating possessed the most compact and uniform phosphate crystals and the best corrosion protection performance. Finally, the special mechanism of the phosphate process was discussed. This work introduces a new, low-energy, facile, environmentally friendly and alternative accelerator for the preparation of phosphate coatings.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87561425","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}
Polydimethylsiloxane (PDMS) composite coatings filled with nanoparticles have been used extensively as anticorrosion materials. The alternating multilayer polydimethylsiloxane resin nanocomposite coating was first fabricated based on stepwise coating method via adding graphene and α-alumina. Their mechanical and anticorrosion properties were discussed. The binary fillers greatly improved the adhesion up to level 1, at the same time, the coating remained extreme flexibility. When the graphene was 0.3 wt%, the alternating multilayer coating exhibited the best corrosion resistance with the 4.82 V of corrosion potential (Ecorr), which was increased by near 40 times compared with pure PDMS coating. Meanwhile, the impedance value of composite coating reached 10 Ω•cm. The corrosion current density (Icorr) of the coating was smaller than that of bare tinplate. The long-term soaking results prove that the alternating multilayer composite coating still possess the outstanding corrosion resistance for tinplate after 30-day immersion.
{"title":"Polydimethylsiloxane Resin Nanocomposite Coating with Alternating Multilayer Structure for Corrosion Protection Performance","authors":"Jianping Liu, Jiaoxia Zhang, Jijun Tang, Liuyue Pu, Yanli Xue, Mei-juan Lu, Lei Xu, Zhanhu Guo","doi":"10.30919/esmm5f912","DOIUrl":"https://doi.org/10.30919/esmm5f912","url":null,"abstract":"Polydimethylsiloxane (PDMS) composite coatings filled with nanoparticles have been used extensively as anticorrosion materials. The alternating multilayer polydimethylsiloxane resin nanocomposite coating was first fabricated based on stepwise coating method via adding graphene and α-alumina. Their mechanical and anticorrosion properties were discussed. The binary fillers greatly improved the adhesion up to level 1, at the same time, the coating remained extreme flexibility. When the graphene was 0.3 wt%, the alternating multilayer coating exhibited the best corrosion resistance with the 4.82 V of corrosion potential (Ecorr), which was increased by near 40 times compared with pure PDMS coating. Meanwhile, the impedance value of composite coating reached 10 Ω•cm. The corrosion current density (Icorr) of the coating was smaller than that of bare tinplate. The long-term soaking results prove that the alternating multilayer composite coating still possess the outstanding corrosion resistance for tinplate after 30-day immersion.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91446105","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}
Y2O3 and CeO2 were chosen as additives to investigate the effect of different additives on the microstructure, composition of phases and mechanical properties of Si3N4/SiC ceramics using pressureless sintering. Si3N4/SiC ceramic without additives had a high density, while after adding Y2O3 and CeO2, the density and flexural strength of Si3N4/SiC ceramics were significantly decreased due to the increase of porosity. The main phase compositions of samples were β-Si3N4 and SiC. Moreover, the liquid phases Y-Si-O-N and Ce-Si-O-N were observed after adding Y2O3 and CeO2 respectively. It also indicated that for Si3N4/SiC composite ceramics, the high aspect ratio β-Si3N4 overlapped with each other and closely bonded with glass phase could improve flexure strength effectively. Besides, the SiC crystal grains mainly existed in grain boundary, which could inhibit the secondary recrystallization to avoid that the decrease of flexural strength caused by the overgrowth of β-Si3N4 grains.
{"title":"Effect of Different Sintering Additives on the Microstructure, Phase Compositions and Mechanical Properties of Si3N4/SiC Ceramics","authors":"H. Yan, Qing-gang Li, Zhi Wang, Hao Wu, Yuying Wu, Xin Cheng","doi":"10.21203/rs.3.rs-53947/v1","DOIUrl":"https://doi.org/10.21203/rs.3.rs-53947/v1","url":null,"abstract":"\u0000 Y2O3 and CeO2 were chosen as additives to investigate the effect of different additives on the microstructure, composition of phases and mechanical properties of Si3N4/SiC ceramics using pressureless sintering. Si3N4/SiC ceramic without additives had a high density, while after adding Y2O3 and CeO2, the density and flexural strength of Si3N4/SiC ceramics were significantly decreased due to the increase of porosity. The main phase compositions of samples were β-Si3N4 and SiC. Moreover, the liquid phases Y-Si-O-N and Ce-Si-O-N were observed after adding Y2O3 and CeO2 respectively. It also indicated that for Si3N4/SiC composite ceramics, the high aspect ratio β-Si3N4 overlapped with each other and closely bonded with glass phase could improve flexure strength effectively. Besides, the SiC crystal grains mainly existed in grain boundary, which could inhibit the secondary recrystallization to avoid that the decrease of flexural strength caused by the overgrowth of β-Si3N4 grains.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90768315","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 : 2020-05-05DOI: 10.25394/PGS.12245678.V1
Lin, Guang, Zhao, Lang, Tallman, Tyler
Many cases have evinced the importance of having structural health monitoring (SHM) strategies that can allow the detection of the structural health of infrastructures or buildings, in order to prevent the potential economic or human losses. Nanocomposite material like the Carbon nanofiller-modified composites have great potential for SHM because these materials are piezoresistive. So, it is possible to determine the damage status of the material by studying the conductivity change distribution, and this is essential for detecting the damage on the position that can-not be observed by eye, for example, the inner layer in the aerofoil. By now, many researchers have studied how damage influences the conductivity of nanocomposite material and the electrical impedance tomography (EIT) method has been applied widely to detect the damage-induced conductivity changes. However, only knowing how to calculate the conductivity change from damage is not enough to SHM, it is more valuable to SHM to know how to determine the mechanical damage that results in the observed conductivity changes. In this article, we apply the machine learning methods to determine the damage status, more specifically, the number, radius and the center position of broken holes on the material specimens by studying the conductivity change data generated by the EIT method. Our results demonstrate that the machine learning methods can accurately and efficiently detect the damage on material specimens by analysing the conductivity change data, this conclusion is important to the field of the SHM and will speed up the damage detection process for industries like the aviation industry and mechanical engineering.
{"title":"Real-Time Precise Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study","authors":"Lin, Guang, Zhao, Lang, Tallman, Tyler","doi":"10.25394/PGS.12245678.V1","DOIUrl":"https://doi.org/10.25394/PGS.12245678.V1","url":null,"abstract":"Many cases have evinced the importance of having structural health monitoring (SHM) strategies that can allow the detection of the structural health of infrastructures or buildings, in order to prevent the potential economic or human losses. Nanocomposite material like the Carbon nanofiller-modified composites have great potential for SHM because these materials are piezoresistive. So, it is possible to determine the damage status of the material by studying the conductivity change distribution, and this is essential for detecting the damage on the position that can-not be observed by eye, for example, the inner layer in the aerofoil. By now, many researchers have studied how damage influences the conductivity of nanocomposite material and the electrical impedance tomography (EIT) method has been applied widely to detect the damage-induced conductivity changes. However, only knowing how to calculate the conductivity change from damage is not enough to SHM, it is more valuable to SHM to know how to determine the mechanical damage that results in the observed conductivity changes. In this article, we apply the machine learning methods to determine the damage status, more specifically, the number, radius and the center position of broken holes on the material specimens by studying the conductivity change data generated by the EIT method. Our results demonstrate that the machine learning methods can accurately and efficiently detect the damage on material specimens by analysing the conductivity change data, this conclusion is important to the field of the SHM and will speed up the damage detection process for industries like the aviation industry and mechanical engineering.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89897937","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}
Jintian Jiang, Jing Xu, Huddoy Walter, A. Kazi, Daoyuan Wang, G. Wangila, M. Mortazavi, Chao Yan, Qinglong Jiang, Pine Bluff Arkansas Usa Physics
DOI: 10.30919/esmm5f705 Doping, introducing impurities in the materials, plays a critical role for junction formation in semiconductor. It directs the flow of charge carriers and improves their transport properties in the thin-film electronic devices including halide perovskite materials based optical-electric devices. Dopants can strongly modify electronic, optical and other properties of materials. Due to the relative smaller size,alkali metals play an important role for halide perovskite materials. In this review, recent research work on the doping of halide perovskite materials byalkali metals, especially the electrochemical doping, have been studied from the view of chemistry and physics.
{"title":"The Doping of Alkali Metal for Halide Perovskites","authors":"Jintian Jiang, Jing Xu, Huddoy Walter, A. Kazi, Daoyuan Wang, G. Wangila, M. Mortazavi, Chao Yan, Qinglong Jiang, Pine Bluff Arkansas Usa Physics","doi":"10.30919/esmm5f705","DOIUrl":"https://doi.org/10.30919/esmm5f705","url":null,"abstract":"DOI: 10.30919/esmm5f705 Doping, introducing impurities in the materials, plays a critical role for junction formation in semiconductor. It directs the flow of charge carriers and improves their transport properties in the thin-film electronic devices including halide perovskite materials based optical-electric devices. Dopants can strongly modify electronic, optical and other properties of materials. Due to the relative smaller size,alkali metals play an important role for halide perovskite materials. In this review, recent research work on the doping of halide perovskite materials byalkali metals, especially the electrochemical doping, have been studied from the view of chemistry and physics.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78414225","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}
On March 17, 2020, cases of COVID-19, a disease caused by coronavirus, were reported to be increased over 1700 in a single day in USA, with 100 reported deaths among total cases about 6500 in all 50 States (Fig. 1a). At the same time, this COVID-19 has spread to almost all the countries on this planet with over 200,000 cases. In about three months over 8,000 reported cases of death (Fig. 1b). Unfortunately, we still cannot see the end of this dark road, at least in the next couple of months. We have managed to survive after other outbreaks: MERS-CoV, SARS, Ebola,and of course the flu. Fortunately, we have doctors, vaccinologists, chemists, nurses and many others fighting for us. Among them, there are American, Chinese, Indian, European, Japanese, Iranian, Korean...... There is no country boundary for the virus and there is no boundary for the scientists. Stay together, we will win; fight with each other, we will all lose. Materials and manufacturing, not only play an important role in industry and research, but also play a critical role in this battle against the virus. Fig. 2 shows a typical structure for
{"title":"COVID-19: From Crude Oil to Medical Mask","authors":"Qinglong Jiang, Lun-Shan Lu","doi":"10.30919/esmm5f766","DOIUrl":"https://doi.org/10.30919/esmm5f766","url":null,"abstract":"On March 17, 2020, cases of COVID-19, a disease caused by coronavirus, were reported to be increased over 1700 in a single day in USA, with 100 reported deaths among total cases about 6500 in all 50 States (Fig. 1a). At the same time, this COVID-19 has spread to almost all the countries on this planet with over 200,000 cases. In about three months over 8,000 reported cases of death (Fig. 1b). Unfortunately, we still cannot see the end of this dark road, at least in the next couple of months. We have managed to survive after other outbreaks: MERS-CoV, SARS, Ebola,and of course the flu. Fortunately, we have doctors, vaccinologists, chemists, nurses and many others fighting for us. Among them, there are American, Chinese, Indian, European, Japanese, Iranian, Korean...... There is no country boundary for the virus and there is no boundary for the scientists. Stay together, we will win; fight with each other, we will all lose. Materials and manufacturing, not only play an important role in industry and research, but also play a critical role in this battle against the virus. Fig. 2 shows a typical structure for","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77556665","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}
Jing Cao, Tzee Luai Meng, Xikui Zhang, N. Gong, Rahul Karyappa, Chee Kiang Ivan Tan, A. Suwardi, Qiang Zhu, Hongfei Liu
DOI: 10.30919/esmm5f717 In recent years, miniaturization and integration have become the development trends of electronic devices. With the power of electronic devices continuing to increase, the amount of heat generated is sharply increasing. Thermal interface material (TIM) can effectively improve heat transfer between two solid interfaces, and it plays an important role in the performance, service life and stability of electronic devices. In this case, higher requirements are put forward for thermal management, so much attention is also attached to the innovation and optimization of TIM. In this paper, recent research development of TIM is reviewed. Rheology-based modeling and design are discussed for the widely used polymeric TIMs. It is discussed for the effects of thermal conductive fillers on the properties of composites. Many studies have shown that some polymers filled with high thermal conductivity and low loss ceramics are well suitable for electronic packaging for device encapsulation. Until now, extensive attentions have been paid to the preparation of polymeric composites with high thermal conductivity for the application in electronic packaging. Finally, the problems are also discussed and the research directions of TIM in the future are prospected.
{"title":"Recent Advances in Thermal Interface Materials","authors":"Jing Cao, Tzee Luai Meng, Xikui Zhang, N. Gong, Rahul Karyappa, Chee Kiang Ivan Tan, A. Suwardi, Qiang Zhu, Hongfei Liu","doi":"10.30919/esmm5f717","DOIUrl":"https://doi.org/10.30919/esmm5f717","url":null,"abstract":"DOI: 10.30919/esmm5f717 In recent years, miniaturization and integration have become the development trends of electronic devices. With the power of electronic devices continuing to increase, the amount of heat generated is sharply increasing. Thermal interface material (TIM) can effectively improve heat transfer between two solid interfaces, and it plays an important role in the performance, service life and stability of electronic devices. In this case, higher requirements are put forward for thermal management, so much attention is also attached to the innovation and optimization of TIM. In this paper, recent research development of TIM is reviewed. Rheology-based modeling and design are discussed for the widely used polymeric TIMs. It is discussed for the effects of thermal conductive fillers on the properties of composites. Many studies have shown that some polymers filled with high thermal conductivity and low loss ceramics are well suitable for electronic packaging for device encapsulation. Until now, extensive attentions have been paid to the preparation of polymeric composites with high thermal conductivity for the application in electronic packaging. Finally, the problems are also discussed and the research directions of TIM in the future are prospected.","PeriodicalId":11851,"journal":{"name":"ES Materials & Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87082080","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：