Armin Gooran-Shoorakchaly, Sarah Sharif, Yaser M. Banad
{"title":"Role of electrode materials in resistive switching mechanisms of oxide-based memristors for enhanced neuromorphic computing: A comprehensive study","authors":"Armin Gooran-Shoorakchaly, Sarah Sharif, Yaser M. Banad","doi":"10.1016/j.memori.2025.100133","DOIUrl":"10.1016/j.memori.2025.100133","url":null,"abstract":"<div><div>This study extends the state-of-the-art TaOx-based memristors by explicitly coupling electrode-dependent thermal conductivity to the electrical-thermal solver and by treating drift, diffusion, and Soret flux on equal footing. By examining titanium (Ti), palladium (Pd), and tungsten (W) electrodes, conductive filament (CF) dynamics is studied, particularly the role of thermal and electrical properties in governing oxygen vacancy migration. The enriched model reveals that Ti's low thermal conductivity (21.9 W/m·K) lowers the forming voltage to −1.72 V and boosts the peak diffusion flux to 5.4 A/cm<sup>2</sup>, whereas W's high thermal conductivity (174 W/m·K) suppresses filament growth, requiring −2.01 V. This is the first quantitative decomposition of the three vacancy-transport mechanisms under realistic Joule-heating conditions, enabling direct correlation between electrode choice and device variability. Our systematic analysis of drift, diffusion, and Soret flux mechanisms provides deeper insight into CF formation, stability, and device reliability. The insight translates into markedly tighter resistance distributions for Ti devices (σ/μ = 0.011 in LRS) and promising 10,000-s retention at 150 °C, pointing toward electrode-engineered RRAM for reliable neuromorphic computing. These findings underscore how careful electrode material selection can significantly enhance RRAM performance, reliability, and scalability, thereby presenting a promising device platform for neuromorphic and in-memory computing applications.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"11 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489678","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":"Implications of memory embedding and hierarchy on the performance of MAVeC AI accelerators","authors":"Md Rownak Hossain Chowdhury, Mostafizur Rahman","doi":"10.1016/j.memori.2025.100131","DOIUrl":"10.1016/j.memori.2025.100131","url":null,"abstract":"<div><div>Memory organization is essential for any AI (Artificial Intelligence) processor, as memory mapped I/O dictates the system's overall throughput. Regardless of how fast or how many parallel processing units are integrated into the processor, the performance will ultimately suffer when data transfer rates fail to match processing capabilities. Therefore, the efficacy of data orchestration within the memory hierarchy is a foundational aspect in benchmarking the performance of any AI accelerator. In this work, we investigate memory organization for a messaging-based vector processing Unit (MAVeC), where data routes across computation units to enable adaptive programmability at runtime. MAVeC features a hierarchical on-chip memory structure of less than 100 MB to minimize data movement, enhance locality, and maximize parallelism. Complementing this, we develop an end-to-end data orchestration methodology to manage data flow within the memory hierarchy. To evaluate the overall performance incorporating memory, we detail our extensive benchmarking results across diverse parameters, including PCIe (Peripheral Component Interconnect Express) configurations, available hardware resources, operating frequencies, and off-chip memory bandwidth. The MAVeC achieves a notable throughput of 95.39K inferences per second for Alex Net, operating at a 1 GHz frequency with 64 tiles and 32-bit precision, using PCIe 6.0 × 16 and HBM4 off-chip memory. In TSMC 28 nm technology node the estimated area for the MAVeC core is approximately 346 mm<sup>2</sup>. These results underscore the potential of the proposed memory hierarchy for the MAVeC accelerator, positioning it as a promising solution for future AI applications.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"10 ","pages":"Article 100131"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144261298","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}
Mandeep Singh, Nakkina Sai Teja, Tarun Chaudhary, Balwinder Raj
{"title":"Recent advancements and progress in development of ferroelectric field effect transistor: A review","authors":"Mandeep Singh, Nakkina Sai Teja, Tarun Chaudhary, Balwinder Raj","doi":"10.1016/j.memori.2025.100130","DOIUrl":"10.1016/j.memori.2025.100130","url":null,"abstract":"<div><div>The robust application of ferroelectric materials in various disciplines has resulted in the development of significantly more accurate and potent FeFETs, which have the potential to deliver more promising non-volatile memory and synaptic devices than traditional ones. The present study illustrates the fundamental concepts, operation, and construction of FeFETs and presents a methodology to determine suitable ferroelectric materials, the make-up of gate stacks, and the advantages that are necessary for an efficient and commercial FeFET. Among various ferroelectric-based FETs, the HfO<sub>2</sub>-based FeEFT has exhibited much more potential and huge advantages such as thin profiles, high polarisation, data retention, and endurance, which have been thoroughly explored in the present study. This paper discusses the contemporary challenges in device design by focusing primarily on the performance parameters such as CMOS compatibility of ferroelectric materials, gate leakage current, depolarisation fields, and a few other factors. Considering these factors will ultimately influence the critical concerns associated with devising design and practical limitations.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"10 ","pages":"Article 100130"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918199","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}
Mohd K. Zulkalnain, Adel Barakat, Naqeeb Ullah, Haruichi Kanaya, Ramesh K. Pokharel
{"title":"Counter-based CMOS QCWM demodulator for wide frequency range WPT biohealth applications","authors":"Mohd K. Zulkalnain, Adel Barakat, Naqeeb Ullah, Haruichi Kanaya, Ramesh K. Pokharel","doi":"10.1016/j.memori.2025.100128","DOIUrl":"10.1016/j.memori.2025.100128","url":null,"abstract":"<div><div>In this paper, a CMOS QCWM demodulator was designed to achieve a wide carrier frequency range to cater for a variety of applications. Previous designs utilize a pulse to sawtooth peak (PW2SP) converter and a comparator that necessitates a reference voltage, causing the frequency range to be limited, due to the current starved nature of the PW2SP circuit. To address this issue, a modified PW2SP employing a programmable current mirror with a 3-bit counter was proposed to provide current programmability and eliminate the use of a voltage reference. The proposed QCWM demodulator was designed and fabricated on 180 nm CMOS technology. The current programmability allows the QCWM demodulator to reach data rate of 400Kb/s to 8Mb/s, when the carrier frequency is varied from 1 MHz to 20 MHz. The design consumes 209 <span><math><mi>μ</mi></math></span>W at 20 MHz carrier frequency from a 1.4 V supply voltage with an energy consumption of 26.13 pJ/bit.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"10 ","pages":"Article 100128"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design an energy efficient ternary parallel prefix carry/sum propagate adders using 32-nm CNTFET","authors":"Sudha Vani Yamani , H.K. Raghu Vamsi Kudulla , B.V.R.S. Ganesh , D. Sushma , Ch Manasa , Satti Harichandra Prasad","doi":"10.1016/j.memori.2025.100129","DOIUrl":"10.1016/j.memori.2025.100129","url":null,"abstract":"<div><div>Every digital computer system utilizes binary adders. However, researchers have focused on ternary logic to reduce power consumption in digital systems. To implement a ternary logic circuit, Carbon Nano Tube Field Effect Transistors (CNTFETs) have been employed, as the threshold voltage (V<sub>th</sub>) of CNTFETs. Fundamentally, the carry look-ahead adders follow the parallel prefix carry propagation. In the parallel prefix adders, this propagates the carry/sum bits. The traditional Carry Propagate Adders (CPA) generate carry bits and propagate them. Their results show carry bit propagation needs time and extra circuits for carry generation, which occupies more chip area than Sum Propagation Adders (SPA). Specifically, this work explored the use of parallel prefix ternary sum/carry propagation adders with a proposed carry propagator block, which is a kind of multi-valued logic (MVL). This work utilized 32 nm CNTFETs to build the circuits. To evaluate the performance, simulations were conducted using Cadence Virtuoso Software for both the Ternary Carry Propagate Adder (TCPA) and the Ternary Sum Propagate Adder (TSPA). The results demonstrated that the 8-bit Kogge Stone TSPA exhibited a remarkable 37.3 % reduction in power consumption compared to the TCPA. Additionally, the 8-bit Kogge Stone TSPA also demonstrated a notable 45 % reduction in delay compared to the TCPA.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"10 ","pages":"Article 100129"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of an analog topology for a multi-layer neuronal network","authors":"Luã da Porciuncula Estrela , Marlon Soares Sigales , Elmer A. Gamboa Peñaloza , Marcelo Lemos Rossi , Mateus Beck Fonseca","doi":"10.1016/j.memori.2025.100125","DOIUrl":"10.1016/j.memori.2025.100125","url":null,"abstract":"<div><div>This paper presents a novel approach to implementing artificial neural networks (ANNs) using analog circuits with counter circuits for storing and updating the weights and biases. The counter circuits, which are sequential logic circuits, provide a more precise and stable method for storing and updating the network parameters, compared to memristors. The paper also discusses the design of a multiplier circuit and a hyperbolic function activation circuit used in the neural network. The neural network model based on the XNOR logic function was simulated using a simulation program with integrated circuit emphasis (SPICE), demonstrating its learning capability as the error decreased for each epoch of training. The proposed methodology offers significant advantages for neuromorphic computing, especially in the domain of Internet of Things (IoT), where near-sensor data analysis and edge computation are essential.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"9 ","pages":"Article 100125"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amir Ali Mohammad Khani , Alireza Barati Haghverdi , Ilghar Rezaei , Farzane Soleimani Rudi , Toktam Aghaee
{"title":"A graphene-based toxic detection approach","authors":"Amir Ali Mohammad Khani , Alireza Barati Haghverdi , Ilghar Rezaei , Farzane Soleimani Rudi , Toktam Aghaee","doi":"10.1016/j.memori.2025.100127","DOIUrl":"10.1016/j.memori.2025.100127","url":null,"abstract":"<div><div>Periodic arrays of graphene disks are leveraged to form a toxic gas detector. The operational frequency range is the THz gap. The idea stems from the middle air gap which is surrounded by graphene-spacer layers while a fully reflecting metallic surface is placed underneath. The change in the refractive index of the air gap due to the presence of some toxic gases leads to absorption deviations. Interpreting the known deviations can define a detection protocol in the THz spectrum. This work proposes a three-layer wave absorber based on the graphene patterns, TOPAS spacer, and the golden surface. Each component is modeled by the passive circuit element and the total impedance of the structure is calculated. Additionally, the impedance matching concept is investigated to predict absorption response. Furthermore, full-wave simulation is performed to compare with the circuit model approach. Based on the simulation results, a multi-band absorption response experiences considerable frequency shifts when exposed to some toxic gases including SO<sub>2</sub>, N<sub>2</sub>, NO<sub>2</sub>, O<sub>3,</sub> and CO. More importantly, the capability of being tuned via external chemical potential makes the proposed absorber an ideal basic building block for healthcare-based optical systems.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"9 ","pages":"Article 100127"},"PeriodicalIF":0.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of deep learning algorithms for large digital data processing using evolutionary neural networks","authors":"Mohammadreza Nehzati","doi":"10.1016/j.memori.2025.100126","DOIUrl":"10.1016/j.memori.2025.100126","url":null,"abstract":"<div><div>This paper introduces a unique method for boosting the efficiency of deep learning algorithms in processing large amounts of virtual facts. This approach leverages evolutionary neural networks, integrating deep mastering algorithms with evolutionary algorithms to enhance the overall performance of convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The proposed optimization technique employs evolutionary operators such as natural choice, version aggregate, and random weight mutations to discover massive and complicated seek areas. The innovation of this studies lies inside the use of evolutionary neural networks to enhance the accuracy, convergence speed, and generalization capabilities of deep mastering algorithms while managing big virtual datasets. Empirical findings imply that the proposed technique notably improves the effectiveness of deep mastering algorithms in coping with sizeable digital datasets.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"9 ","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The application of organic materials used in IC advanced packaging:A review","authors":"Liu Jikang","doi":"10.1016/j.memori.2025.100124","DOIUrl":"10.1016/j.memori.2025.100124","url":null,"abstract":"<div><div>With the development of advanced technologies, the importance of semiconductor packaging has been further highlighted. To meet the increasing complexity and performance requirements of semiconductor devices, many integrated circuit (IC) advanced packaging technologies have been developed, which including flip chip (FC), bumping, fan-in wafer level packaging (FIWLP), fan-out wafer level packaging (FOWLP), 2.5D packaging (interposer), CMOS image sensor through silicon via (CIS-TSV), fan-out panel level packaging (FOPLP) and so on. During the manufacturing process of those IC advanced packaging technologies, many organic materials including photoresist (PR), photosensitive polyimide (PSPI), underfill, epoxy molding compound (EMC), temporary bonding adhesive, high temperature bonding adhesive, dry film and printing ink have been applied. In this paper, we described the application of organic materials including PR, PSPI, underfill, EMC, temporary bonding adhesive, high temperature bonding adhesive, dry film and printing ink used in the IC advanced packaging.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"9 ","pages":"Article 100124"},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and evaluation of clock-gating-based approximate multiplier for error-tolerant applications","authors":"Venkata Sudhakar Chowdam , Suresh Babu Potladurty , Prasad Reddy karipireddy","doi":"10.1016/j.memori.2025.100123","DOIUrl":"10.1016/j.memori.2025.100123","url":null,"abstract":"<div><div>The multipliers are essential components in real-time applications. Although approximation arithmetic affects the output accuracy in multipliers, it offers a realistic avenue for constructing power-, area--, and speed-efficient digital circuits. The approximation computing technique is commonly used in error-tolerant applications such as signal, image, and video processing. In this study, approximate multipliers (AMs) are designed using both conventional and approximate half adders (A-HAs) and full adders (A-FAs), which are strategically placed to add partial products at the most significant bit (MSB) positions, and OR gates are used to add partial products at the lower significant bit (LSB). In addition, this research article demonstrates unsigned and signed multipliers using the Ripple Carry Adder (RCA), Carry Save Adder (CSA), Conditional Sum Adder (COSA), Carry Select Adder (CSLA), and Clock Gating Technique. The proposed multipliers are implemented in Verilog HDL and simulated on the Xilinx VIVADO 2021.2 design tool, with the target platform being the Artix-7 AC701 FPGA. The results found that the power dissipation change is 13%, the delay change is 4.7%, and the area change is 15% for the 16-bit unsigned approximate multiplier. For the 16-bit signed approximate multiplier, the power change is 18.81%, the delay change is 3.57%, and the area change is 14.29% using inexact and exact adders and the clock gating technique with CSA as the final partial product summer. Clock-gating 16-bit multiplier RED decreases when compared to approximate adder usage alone in the multiplier. The proposed multipliers are useful in error-tolerant applications such as digital signal processing, image fusion, image blending, smoothing, and sharpening to produce high-quality images at high speed and with low power consumption.</div></div>","PeriodicalId":100915,"journal":{"name":"Memories - Materials, Devices, Circuits and Systems","volume":"9 ","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143140358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}