{"title":"INVESTIGATION OF PHYSICAL PRINCIPLES OF RESISTIVE SWITCHING IN RERAM STRUCTURES BASED ON HAFNIUM OXIDE","authors":"E. Ganykina, Asrar Rezvanov, Yevgeny Gornev","doi":"10.29003/m2491.mmmsec-2021/130-132","DOIUrl":"https://doi.org/10.29003/m2491.mmmsec-2021/130-132","url":null,"abstract":"In this paper, the physical principles of resistive switching in the Au/Ti/HfO2/Au/Si memristor are investigated, including oxygen ions transport, heat transfer and electric current flow through the structure.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130868817","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}
R. Zhachuk, D. Rogilo, A. Petrov, D. Sheglov, A. Latyshev, F. Ronci, S. Colonna
{"title":"ATOMIC STRUCTURE OF A SINGLE STEP AND DYNAMICS OF Sn ADATOMS ON THE Si(111)- v3 ? v3-Sn SURFACE","authors":"R. Zhachuk, D. Rogilo, A. Petrov, D. Sheglov, A. Latyshev, F. Ronci, S. Colonna","doi":"10.29003/m2486.mmmsec-2021/108-111","DOIUrl":"https://doi.org/10.29003/m2486.mmmsec-2021/108-111","url":null,"abstract":"The atomic structure of single steps on the Si(111)- 3 3 ? -Sn surface and the dynamics of Sn adatoms in the vicinity of these steps were studied. The work was performed using scanning tunneling microscopy (STM) and ab initio calculations based on the density functional theory. The atomic structure model of the single steps consisting of Sn atomic chains along the steps was developed. This structure leads to the formation of potential double-wells near the steps acting as traps for Sn atoms and explains the fluctuating tunneling current recorded in these areas.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114352917","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}
Y. Shamin, D. Zhevnenko, Fedor Meschaninov, V. Kozhevnikov, Yevgeny Gornev
{"title":"ANALYSIS AND COMPARISON OF DIFFERENT APPROACHES TO THE PROBLEM OF MEMRISTOR MODEL PARAMETERS EXTRACTION","authors":"Y. Shamin, D. Zhevnenko, Fedor Meschaninov, V. Kozhevnikov, Yevgeny Gornev","doi":"10.29003/m2494.mmmsec-2021/140-142","DOIUrl":"https://doi.org/10.29003/m2494.mmmsec-2021/140-142","url":null,"abstract":"The work is devoted to the analysis of various approaches to the problem of the empirical memristor model parameters extraction. A description of the peculiarities of the extraction process is given, and an original version of the extraction algorithm is proposed. The proposed algorithm is compared with other considered ones.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121182611","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}
{"title":"DETERMINATION OF ULTRA-SMALL DEVIATIONS FROM STOICHIOMETRY BY EQUILIBRIUM VAPOR PHASE COMPOSITION OF WIDE BEND GAP А2 В6 SEMICONDUCTORS","authors":"S. Kobeleva","doi":"10.29003/m2471.mmmsec-2021/63-65","DOIUrl":"https://doi.org/10.29003/m2471.mmmsec-2021/63-65","url":null,"abstract":"The paper considers the possibility of determining the deviation from the stoichiometry in cadmium and zinc chalcogenides by the composition of the equilibrium vapor phase. The conditions for the evaporation are considered. It is shown that if the ratio of the of the solid and vapor phases volumes is more then 120, it is possible to determine the deviation from stoichiometry at the order of magnitude 1014 cm-3.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123054826","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}
A. Prokhorenko, Yu.P. Gnidenko, Y. Chibisov, Y. Chibisova
{"title":"AB INITIO CALCULATION OF ADSORPTION POSITION EFFECT ON MAGNETIZATION REDISTRIBUTION IN P-DOPED SILICENE","authors":"A. Prokhorenko, Yu.P. Gnidenko, Y. Chibisov, Y. Chibisova","doi":"10.29003/m2490.mmmsec-2021/124-127","DOIUrl":"https://doi.org/10.29003/m2490.mmmsec-2021/124-127","url":null,"abstract":"The behavior (substitution and adsorption) of a phosphorus atom on the surface of silicene is studied using quantum mechanical calculations. The most favorable positions, binding energy and activation of the phosphorus diffusion barrier have been established. The change in the local magnetic moment of the phosphorus atom is described depending on its position and the position of the surrounding silicon elements.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122452988","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}
A. Zatsarinny, Y. Stepchenkov, Y. Diachenko, Y. Rogdestvenski
{"title":"SELF-TIMED CIRCUITS AS A BASIS FOR DEVELOPING NEXT GENERATION HIGH-RELIABLE HIGH-PERFORMANCE COMPUTERS","authors":"A. Zatsarinny, Y. Stepchenkov, Y. Diachenko, Y. Rogdestvenski","doi":"10.29003/m1535.mmmsec-2020/114-116","DOIUrl":"https://doi.org/10.29003/m1535.mmmsec-2020/114-116","url":null,"abstract":"The paper proposes design and circuitry solutions for the implementation of high-performance next generation computers. They are based on self-timed circuit design methodology and provide an increase in the tolerance of computing systems to soft errors resulting from induced noises and radiation exposure.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129790425","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}
E. Shamin, D. Zhevnenko, F. Meshchaninov, V. Kozhevnikov, E. Gornev
{"title":"DETERMINATION OF THE INITIAL GUESS FOR THE PROBLEM OF MEMRISTOR MODEL PARAMETERS EXTRACTION USING MACHINE LEARNING ALGORITHMS","authors":"E. Shamin, D. Zhevnenko, F. Meshchaninov, V. Kozhevnikov, E. Gornev","doi":"10.29003/m1539.mmmsec-2020/127-130","DOIUrl":"https://doi.org/10.29003/m1539.mmmsec-2020/127-130","url":null,"abstract":"The focus of this work is on the algorithm of extraction of parameters of the memristor model from the experimentally obtained current-voltage characteristics. The problem of finding the initial guess for this algorithm based on current-voltage characteristic features is stated and solved by means of machine learning algorithms.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121069119","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}
{"title":"INVESTIGATION OF THERMAL EFFECTS IN HfO2 RRAM STRUCTURES DURING THE RESET PROCESS","authors":"E. Ganykina, E. Gornev, A. Rezvanov","doi":"10.29003/m1540.mmmsec-2020/131-133","DOIUrl":"https://doi.org/10.29003/m1540.mmmsec-2020/131-133","url":null,"abstract":"In this paper, the formation and rupture of a conducting filament in the Hf/HfO2/TiN structure are investigated. Theoretical consideration of the thermal effects occurring during the RESET process is covered. The analysis of the formation and rupture of a filament in an amorphous HfO2 layer is carried out. The introduction of the thin Al2O3 layer into the Hf/HfO2/TiN structure is also considered","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128140067","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}
{"title":"APPLICATION OF MACHINE LEARNING ALGORITHMS FOR MODELING THE CURRENT-VOLTAGE CHARACTERISTIC OF A MEMRISTOR","authors":"A. Ereshchenko","doi":"10.29003/m1541.mmmsec-2020/133-136","DOIUrl":"https://doi.org/10.29003/m1541.mmmsec-2020/133-136","url":null,"abstract":"The goal of this work is to explore the possibility of using machine learning algorithms for modeling the current-voltage characteristic of a memristor, using modeling of HfO2 and TiO2 based memristors as an example. The possibility of combining several mathematical models based on the predictions of individual models is investigated. The results obtained using the combined model are compared with the predictions of individual models and experimental data.","PeriodicalId":151453,"journal":{"name":"Mathematical modeling in materials science of electronic component","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130040808","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}