Academic literature on the topic 'RRAM'
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Journal articles on the topic "RRAM"
Lee, Doowon, and Hee-Dong Kim. "Effect of Hydrogen Annealing on Performances of BN-Based RRAM." Nanomaterials 13, no. 10 (May 18, 2023): 1665. http://dx.doi.org/10.3390/nano13101665.
Full textKim, Kyoungdu, Woongki Hong, Changmin Lee, Won-Yong Lee, Do Won Kim, Hyeon Joong Kim, Hyuk-Jun Kwon, Hongki Kang, and Jaewon Jang. "Sol-gel-processed amorphous-phase ZrO2 based resistive random access memory." Materials Research Express 8, no. 11 (November 1, 2021): 116301. http://dx.doi.org/10.1088/2053-1591/ac3400.
Full textLin, Wu, and Chen. "Effects of Sm2O3 and V2O5 Film Stacking on Switching Behaviors of Resistive Random Access Memories." Crystals 9, no. 6 (June 19, 2019): 318. http://dx.doi.org/10.3390/cryst9060318.
Full textLonn, Eija, Esa Koskela, Tapio Mappes, Mikael Mokkonen, Angela M. Sims, and Phillip C. Watts. "Balancing selection maintains polymorphisms at neurogenetic loci in field experiments." Proceedings of the National Academy of Sciences 114, no. 14 (March 21, 2017): 3690–95. http://dx.doi.org/10.1073/pnas.1621228114.
Full textAnsh and Mayank Shrivastava. "Superior resistance switching in monolayer MoS2 channel-based gated binary resistive random-access memory via gate-bias dependence and a unique forming process." Journal of Physics D: Applied Physics 55, no. 8 (November 12, 2021): 085102. http://dx.doi.org/10.1088/1361-6463/ac3281.
Full textXie, Hao, Jun Hu, Zhili Wang, Xiaohui Hu, Hong Liu, Wei Qi, and Shuo Zhang. "Multiphysics Simulation of Crosstalk Effect in Resistive Random Access Memory with Different Metal Oxides." Micromachines 13, no. 2 (February 6, 2022): 266. http://dx.doi.org/10.3390/mi13020266.
Full textTsai, Jeff T. H., Chia-Yun Hsu, Chia-Hsiang Hsu, Chu-Shou Yang, and Tai-Yuan Lin. "Fabrication of Resistive Random Access Memory by Atomic Force Microscope Local Anodic Oxidation." Nano 10, no. 02 (February 2015): 1550028. http://dx.doi.org/10.1142/s1793292015500289.
Full textAlimkhanuly, Batyrbek, Sanghoek Kim, Lok-won Kim, and Seunghyun Lee. "Electromagnetic Analysis of Vertical Resistive Memory with a Sub-nm Thick Electrode." Nanomaterials 10, no. 9 (August 20, 2020): 1634. http://dx.doi.org/10.3390/nano10091634.
Full textArumí, Daniel, Salvador Manich, Álvaro Gómez-Pau, Rosa Rodríguez-Montañés, Víctor Montilla, David Hernández, Mireia Bargalló González, and Francesca Campabadal. "Impact of Laser Attacks on the Switching Behavior of RRAM Devices." Electronics 9, no. 1 (January 20, 2020): 200. http://dx.doi.org/10.3390/electronics9010200.
Full textZhang, Yuhang, Guanghui He, Feng Zhang, Yongfu Li, and Guoxing Wang. "The study of lithographic variation in resistive random access memory." Journal of Semiconductors 45, no. 5 (May 1, 2024): 052303. http://dx.doi.org/10.1088/1674-4926/45/5/052303.
Full textDissertations / Theses on the topic "RRAM"
Dogan, Rabia. "System Level Exploration of RRAM for SRAM Replacement." Thesis, Linköpings universitet, Elektroniksystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92819.
Full textAmer, Aya G. (Aya Galal Mahdy ElSayed). "SHARC : self-healing analog with RRAM and CNFETs." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122693.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 49-50).
Next-generation applications require processing on massive amount of data in real-time, exceeding the capabilities of electronic systems today. This has spurred research in a wide-range of areas: from new devices to replace silicon-based field-effect transistors (FETs) to new circuit and system architectures with fine-grained and dense integration of logic and memory. However, isolated improvements in just one area is insufficient. Rather, enabling these next-generation applications will require combining benefits across all levels of the computing stack: leveraging new devices to realize new circuits and architectures. For instance, carbon nanotube (CNT) field-effect transistors (CNFETs) for logic and Resistive Random-Access Memory (RRAM) for memory are two promising emerging nanotechnologies for energy-efficient electronics. However, CNFETs suffer from inherent imperfections (such as of metallic CNTs, m-CNTs), which have prohibited realizing large-scale CNFET circuits in the past. This work proposes a circuit design technique that integrates and combines the benefits of both CNFETs with RRAM to realize three-dimensional (3D) circuits that are immune to m-CNTs. Leveraging this technique, we show the first experimental demonstration of CNFET-based analog mixed-signal circuits.
by Aya G. Amer.
S.M.
S.M. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Alayan, Mouhamad. "Étude des mémoires résistives (RRAM) à base d’HfO2 : caractérisation et modélisation de la fiabilité des cellules mémoire et des nouveaux dispositifs d'accès (Sélecteurs)." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAT032/document.
Full textThe performance gaps in nowadays memory hierarchy on the first hand between processor and main memory, on the other hand between main memory and storage have become a bottleneck for system performances. Due to these limitations, many emerging memories have been proposed as alternative solutions to fill out such concerns. The emerging non-volatile resistive random-access memories (RRAM) are considered as strong candidates for storage class memory (SCM), embedded nonvolatile memories (eNVM), enhanced solid-state disks, and neuromorphic computing. However, reliability challenges such as RRAM thermal stability and resistance variability are still under improvement processes. In addition, to achieve high integration densities the RRAM needs two terminal selector devices in one-selector one-resistor (1S1R) serial cell. The BEOL selector device enables suppression of the parasitic leakage paths, which hinder memory array operation in crossbar and vertical 3D architectures.In this PhD, our main focus is to address and treat the above challenges. Here, the work can be divided into two main parts: i) the investigation of the reliability of HfO2 based RRAM cells and ii) the characterization of the basis memory operations and performances of HfO2 based RRAM cells co-integrated with two different back end of line (BEOL) selector technologies.For the reliability part, we have investigated the effects of aluminum (Al) doping on data retention of HfO2 based RRAM cells. Single and double layer devices with different aluminum concentration were fabricated and tested. From macroscopic electrical characteristics, like time dependent dielectric breakdown (TDDB) and ramped voltage forming, microscopic properties of the materials such as the activation energy to break a bond at zero field and the dipole moment of the bond were extracted. These parameters have been used to shed new light on the mechanisms governing the forming process by means of device level simulations. Second, we have addressed the radiation immunity of HfO2 based RRAM for possible space applications as well. Our RRAM devices were exposed to 266 MeV Iodine heavy ions energy. Pre- and post-exposure analysis were carried out on the memory states and the programming voltages to study the effects of the irradiation on the memory characteristics. Throughout this work, we have performed physics based simulations to understand the dynamics of the forming process as well as the physical mechanisms involved during the memory operations.For the access devices part, we have evaluated two different types of selectors. For accurate reading and low power writing a strong selectivity in the current/voltage characteristics is required. In the first studied device, the selectivity is introduced by adding an oxide tunnel barrier. The main advantage of this strategy is that it is easy to integrate, however it suffers of low selectivity (~10) and low programming current. Second, an OTS based selector co-integrated with HfO2 based RRAM was fully characterized. OTS selector provides higher selectivity compared to the oxide tunnel barrier with the possibilities to strongly increase this selectivity by material engineering. Over 106 read cycles have been achieved on our 1S1R devices using an innovative read strategy that we have suggested to prevent disruptive read and to reduce the power consumption
Parreira, Pedro Miguel Raimundo. "Nanocharacterisation of zirconia based RRAM devices deposited via PLD." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6877/.
Full textEllis, Noah. "Design, fabrication, and characterization of nano-scale cross-point hafnium oxide-based resistive random access memory." Thesis, Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55038.
Full textHanna, Drew E. "Developing RRAM-Based Approaches for Security and Provisioning of ICs." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617108121648124.
Full textHijazi, Basma. "Design and optimization of low-power embedded resistive memory (RRAM)." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0316.
Full textThe objective of the thesis is to demonstrate the advantages that the integration of resistive non-volatile memories can bring in low-power on-board applications on the basis of a complete memory circuit. These applications present constraints, far greater than the usual ones, in terms of ultra-low consumption and security (integrity, data confidentiality, especially in the field of e-health). An important aspect of the thesis work is devoted to the reliability of these memories both at the circuit level and at the system level. This requires the implementation of embedded test techniques at the circuit level and the use of system level error correcting code. The thesis subject has two components: it is first of all to study the different resistive memory cells most subject to use in a low consumption on-board system. The second part will consist of developing all the circuitry for implementing the memory plane built from elementary cells. The innovation brought by this study is twofold: type of memory cell studied and the evaluation of the reliability of these memories
Kwon, Jonghan. "Electron Microscopy Based Characterization of Resistive Switches." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/701.
Full textNguyen, Thinh H. "Study of Reflection Coefficient in Different Resistive States of HfO2-based RRAM." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535702700125043.
Full textKazar, Mendes Munique. "X-ray photoelectron spectroscopy investigations of resistive switching in Te-based CBRAMs." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS285/document.
Full textConducting bridging resistive random accessmemories (CBRAMs) are one option currently investigated for the next generation of non volatile memories. Data storage is based on switching the resistivity between high (HRS) and low (LRS) resistance states. Under electrical bias,a conductive path is assumed to be created by ions diffusion from the active electrode into the solid electrolyte. Recently, special attention has been drawn to devices containing an elemental semiconductor such as tellurium, operating with reduced currents and less retention failures. In these subquantum CBRAM cells, the filament is thought to contain tellurium , yielding a 1-atomconductance (G₁atom) significantly reduced compared to standard CBRAMs and thus allowing low power operation. In this thesis, we use X-rayphotoelectron spectroscopy (XPS) to learn about electrochemical reactions involved in the switching mechanism of Al₂O₃ based CBRAMswith ZrTe and TiTe alloys as active electrode. Two methods are used: i) non-destructive Hard X-ray photoelectron spectroscopy (HAXPES) to investigate the critical interfaces between the electrolyte (Al₂O₃) and the top and bottom electrodes and ii) Gas Cluster Ion Beams (GCIB), a sputtering technique that leads to lower structure degradation, combined with XPS depth profiling to evaluate chemical depth distributions. To FSIMS measurements are also performed to get complementary in-depth chemical information.The aim of this thesis is to clarify the driving mechanism and understand the chemical changes at both interfaces involved in the forming process under positive and negative polarization as well as the mechanism of the reset operation. For that,we performed a comparison between as-grown state, i.e. the pristine device with a formed state,i.e. the sample after the first transition between HRS and LRS, and reset state, i.e. the sample after the first transition between LRS and HRS.Conducting bridging resistive random access memories (CBRAMs) are one option currently investigated for the next generation of non-volatile memories. Data storage is based on switching the resistivity between high (HRS) and low (LRS) resistance states. Under electrical bias,a conductive path is assumed to be created byions diffusion from the active electrode into the solid electrolyte. Recently, special attention has been drawn to devices containing an elemental semiconductor such as tellurium, operating with reduced currents and less retention failures. In these subquantum CBRAM cells, the filament is thought to contain tellurium , yielding a 1-atom conductance (G₁atom) significantly reduced compared to standard CBRAMs and thus allowing low power operation. In this thesis, we use X-ray photoelectron spectroscopy (XPS) to learn about electrochemical reactions involved in the switching mechanism of Al₂O₃ based CBRAMs with ZrTe and TiTe alloys as active electrode. Twomethods are used: i) non-destructive Hard X-rayphotoelectron spectroscopy (HAXPES) toinvestigate the critical interfaces between the electrolyte (Al₂O₃) and the top and bottom electrodes and ii) Gas Cluster Ion Beams (GCIB), a sputtering technique that leads to lower structure degradation, combined with XPS depth profiling to evaluate chemical depth distributions. To FSIMS measurements are also performed to get complementary in-depth chemical information.The aim of this thesis is to clarify the driving mechanism and understand the chemical changes at both interfaces involved in the forming process under positive and negative polarization as well as the mechanism of the reset operation. For that,we performed a comparison between as-grown state, i.e. the pristine device with a formed state,i.e. the sample after the first transition between HRS and LRS, and reset state, i.e. the sample after the first transition between LRS and HRS
Books on the topic "RRAM"
Yu, Shimeng. Resistive Random Access Memory (RRAM). Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-02030-8.
Full textInternational Institute for Environment and Development. Sustainable Agriculture Programme., ed. RRA notes. London: IIED, 1989.
Find full textInternational Institute for Environment and Development. Sustainable Agriculture Programme., ed. RRA notes. London: IIED, 1992.
Find full textInternational Institute for Environment and Development. Sustainable Agriculture Programme., ed. RRA notes. London: IIED, 1991.
Find full textInternational Institute for Environment and Development. Sustainable Agriculture Programme., ed. RRA notes. London: IIED, 1989.
Find full textMuseum of Contemporary Art (Sydney, N.S.W.), ed. Julie Rrap: Body double. Sydney: Museum of Contemporary Art, 2007.
Find full textConti, Philippe. Djelem, Djelem: Une enfance Rrom à Marseille. Marseille: Images en manoeuvres, 2007.
Find full textAraniti, Mithat. Qyfyre te rrem voglit, katunar pri rrashbulle. [Albania?]: Botues Phoenix, 1996.
Find full textBangladesh Flood Action Plan. Environmental Study (Team) and Irrigation Support Project for Asia and the Near East., eds. Padma charland socio-economic RRA. Arlington, Viginia: Irrigation Support Project for Asia and the Near East, 1995.
Find full textBangladesh Flood Action Plan. Environmental Study (Team) and Irrigation Support Project for Asia and the Near East., eds. Ganges charland socio-economic RRA. Arlington, Virginia: Irrigation Support Project for Asia and the Near East, 1995.
Find full textBook chapters on the topic "RRAM"
Yu, Shimeng. "RRAM Array Architecture." In Resistive Random Access Memory (RRAM), 35–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-02030-8_4.
Full textYu, Shimeng. "RRAM Characterization and Modeling." In Resistive Random Access Memory (RRAM), 21–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-02030-8_3.
Full textYu, Shimeng. "Introduction to RRAM Technology." In Resistive Random Access Memory (RRAM), 1–7. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-02030-8_1.
Full textLacaze, Pierre Camille, and Jean-Christophe Lacroix. "Resistive Memory Systems (RRAM)." In Non-Volatile Memories, 165–99. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118789988.ch6.
Full textWu, Huaqiang, Yan Liao, Bin Gao, Debanjan Jana, and He Qian. "RRAM Cross-Point Arrays." In 3D Flash Memories, 223–60. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-7512-0_8.
Full textLuo, Qing. "Integration of 3D RRAM." In 3D Integration of Resistive Switching Memory, 39–46. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003391586-4.
Full textYu, Shimeng. "RRAM Device Fabrication and Performances." In Resistive Random Access Memory (RRAM), 9–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-031-02030-8_2.
Full textKnag, Phil, Siddharth Gaba, Wei Lu, and Zhengya Zhang. "RRAM Solutions for Stochastic Computing." In Stochastic Computing: Techniques and Applications, 153–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03730-7_8.
Full textZuolo, Lorenzo, Cristian Zambelli, Rino Micheloni, and Piero Olivo. "Simulations of RRAM-Based SSDs." In Solid-State-Drives (SSDs) Modeling, 123–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51735-3_6.
Full textMohamed, Ali, Ali AbuAssal, and Osama Rayis. "RRAM – Based - Equivalent Neural Network." In Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation, 339–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85577-2_40.
Full textConference papers on the topic "RRAM"
Tosson, Amr M. S., Mohab Anis, and Lan Wei. "RRAM Refresh Circuit." In GLSVLSI '16: Great Lakes Symposium on VLSI 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2902961.2903017.
Full textTuli, Shikhar, Marco Rios, Alexandre Levisse, and David Atienza ESL. "RRAM-VAC: A Variability-Aware Controller for RRAM-based Memory Architectures." In 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC). IEEE, 2020. http://dx.doi.org/10.1109/asp-dac47756.2020.9045220.
Full textGovoreanu, B., A. Ajaykumar, H. Lipowicz, Y. Y. Chen, J. C. Liu, R. Degraeve, L. Zhang, et al. "Performance and reliability of Ultra-Thin HfO2-based RRAM (UTO-RRAM)." In 2013 5th IEEE International Memory Workshop (IMW). IEEE, 2013. http://dx.doi.org/10.1109/imw.2013.6582095.
Full textWang, Yu, Lixue Xia, Ming Cheng, Tianqi Tang, Boxun Li, and Huazhong Yang. "RRAM based learning acceleration." In the International Conference. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2968455.2981124.
Full textYao, Peng, Wenqiang Zhang, Meiran Zhao, Yudeng Lin, Wei Wu, Bin Gao, He Qian, and Huaqiang Wu. "Intelligent Computing with RRAM." In 2019 IEEE 11th International Memory Workshop (IMW). IEEE, 2019. http://dx.doi.org/10.1109/imw.2019.8739764.
Full textHe, Yifan, Yuxuan Huang, Jinshan Yue, Wenyu Sun, Lu Zhang, and Yongpan Liu. "C-RRAM: A Fully Input Parallel Charge-Domain RRAM-based Computing-in-Memory Design with High Tolerance for RRAM Variations." In 2022 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2022. http://dx.doi.org/10.1109/iscas48785.2022.9937513.
Full textKumbhare, P., S. Chouhan, and U. Ganguly. "Pr1−xCaxMnO3 based selector, RRAM and self-selecting selectorless RRAM: A composition study." In 2016 74th Annual Device Research Conference (DRC). IEEE, 2016. http://dx.doi.org/10.1109/drc.2016.7548443.
Full textXiaoyan Liu, Peng Huang, Bin Gao, Haitong Li, Yudi Zhao, and Jinfeng Kang. "Reliability simulation of TMO RRAM." In 2015 IEEE 22nd International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA). IEEE, 2015. http://dx.doi.org/10.1109/ipfa.2015.7224452.
Full textVeksler, D. "RRAM reliability discussion group summary." In 2014 IEEE International Integrated Reliability Workshop Final Report (IIRW). IEEE, 2014. http://dx.doi.org/10.1109/iirw.2014.7049544.
Full textArafin, Md Tanvir, and Gang Qu. "RRAM based lightweight user authentication." In 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). IEEE, 2015. http://dx.doi.org/10.1109/iccad.2015.7372561.
Full textReports on the topic "RRAM"
Chin, Matthew L., Matin Amani, Terrence P. O'Regan, A. G. Birdwell, and Madan Dubey. Effect of Atomic Layer Depositions (ALD)-Deposited Titanium Oxide (TiO2) Thickness on the Performance of Zr40Cu35Al15Ni10 (ZCAN)/TiO2/Indium (In)-Based Resistive Random Access Memory (RRAM) Structures. Fort Belvoir, VA: Defense Technical Information Center, August 2015. http://dx.doi.org/10.21236/ada623815.
Full textOsterheld, T. H., M. D. Allendorf, and C. F. Melius. Unimolecular decomposition of methyltrichlorosilane: RRKM calculations. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10172713.
Full textCain, W. D., and W. L. Waddell. Rapid response manufacturing (RRM). Office of Scientific and Technical Information (OSTI), February 1997. http://dx.doi.org/10.2172/658223.
Full textZhang, J., P. Bogenschutz, P. Ullrich, and P. Caldwell. SCREAM Beijing Flood RRM Technical Note. Office of Scientific and Technical Information (OSTI), January 2024. http://dx.doi.org/10.2172/2280906.
Full textCain, W. D., and W. L. Waddell. Rapid Response Manufacturing (RRM). Final CRADA report. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/671999.
Full textCain, W. D., and W. L. Waddell. Rapid response manufacturing (RRM). Final CRADA report. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/663252.
Full textGolaz, J. C., S. Xie, X. Zheng, W. Lin, T. Zhang, S. Endo, A. Vogelmann, et al. CMDV-RRM: Representation of Clouds and Convection across scales in E3SM. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1557030.
Full textManka, R. H. National Academy of Sciences - National Research Council Resident Research Associateship Program (RRA). Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada250775.
Full textZhang, Minghua. CMDV-RRM: Representation of Clouds and Convection Across Scales in E3SM (Final Report). Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1721476.
Full textTapiero, Anibal L., and Yudy Alejandra Guevara. Modelo epidemiológico de las enfermedades en clones de caucho de importancia económica en Colombia. Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, 2018. http://dx.doi.org/10.21930/agrosavia.poster.2018.23.
Full text