All Stories

  1. Decoupling Electric Field and Temperature-Driven Atomistic Forming Mechanisms in TaO x /HfO 2 -Base...
  2. Overcoming quadratic hardware scaling for a fully connected digital oscillatory neural network
  3. Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
  4. Lagrange oscillatory neural networks for constraint satisfaction and optimization
  5. A Growing and Thriving Electronic Design, Automation, and Test Community: A DATE 2025 Perspective
  6. Oscillatory Neural Networks for AI Applications in Drones
  7. How to build a thermodynamic computer?
  8. Foreword
  9. Monolithic 3D Oscillatory Ising Machine Using Reconfigurable FeFET Routing for Large‐Scalability and Low‐Power Consumption
  10. Conductive metal oxide and hafnium oxide bilayer resistive random-access memory: An ab initio study
  11. Computing with oscillators from theoretical underpinnings to applications and demonstrators
  12. DATE 2024: Consolidating the New Conference Format
  13. Implementation of FitzHugh-Nagumo Neurons using Nanoscale VO2 Devices
  14. Multi-qubit dynamical decoupling for enhanced crosstalk suppression
  15. Energy-Performance Assessment of Oscillatory Neural Networks Based on VO2 Devices for Future Edge AI Computing
  16. A CMOS-compatible oscillation-based VO2 Ising machine solver
  17. Roadmap for unconventional computing with nanotechnology
  18. Ab Initio Simulations on the Structure and Properties of Supported Core–Shell Pt Nanoparticles on Single-Layer MoS2
  19. Operating Coupled VO₂-Based Oscillators for Solving Ising Models
  20. How fast can vanadium dioxide neuron-mimicking devices oscillate? Physical mechanisms limiting the frequency of vanadium dioxide oscillators
  21. Multi-Programming Mechanism on Near-Term Quantum Computing
  22. Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network
  23. Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems
  24. A mixed-signal oscillatory neural network for scalable analog computations in phase domain
  25. Oscillatory neural network learning for pattern recognition: an on-chip learning perspective and implementation
  26. Training energy-based single-layer Hopfield and oscillatory networks with unsupervised and supervised algorithms for image classification
  27. Two-Layered Oscillatory Neural Networks with Analog Feedforward Majority Gate for Image Edge Detection Application
  28. Toward power consumption reduction for image processing thanks to oscillatory neural network.
  29. qprof: A gprof-Inspired Quantum Profiler
  30. Supported Pt Nanoclusters on Single-Layer MoS2 for the Detection of Cortisol: From Atomistic Scale to Device Modeling
  31. Building Oscillatory Neural Networks
  32. Enabling Multi-programming Mechanism for Quantum Computing in the NISQ Era
  33. Simulation and implementation of two-layer oscillatory neural networks for image edge detection: bidirectional and feedforward architectures
  34. Non-volatile resistive switching mechanism in single-layer MoS2 memristors: insights from ab initio modelling of Au and MoS2 interfaces
  35. Role of ambient temperature in modulation of behavior of vanadium dioxide volatile memristors and oscillators for neuromorphic applications
  36. Réseaux de neurones oscillants pour des calculs économes en énergie
  37. Oscillatory Neural Network for Edge Computing: A Mobile Robot Obstacle Avoidance Application
  38. On-Chip Learning with a 15-neuron Digital Oscillatory Neural Network Implemented on ZYNQ Processor
  39. Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4
  40. Simulation Toolchain for Neuromorphic Oscillatory Neural Networks Based on Beyond-CMOS Vanadium Dioxide Devices
  41. Electro-thermal simulations of beyond-CMOS vanadium dioxide devices and oscillators
  42. How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
  43. Ab Initio Computer Simulations on Interfacial Properties of Single-Layer MoS2 and Au Contacts for Two-Dimensional Nanodevices
  44. Carbon Nanotube SRAM in 5-nm Technology Node Design, Optimization, and Performance Evaluation—Part I: CNFET Transistor Optimization
  45. Carbon Nanotube SRAM in 5-nm Technology Node Design, Optimization, and Performance Evaluation—Part II: CNT Interconnect Optimization
  46. Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection
  47. How Parallel Circuit Execution Can Be Useful for NISQ Computing?
  48. Energy-Performance Assessment of Oscillatory Neural Networks based on VO2 Devices for Future Edge AI Computing
  49. Energy-Performance Assessment of Oscillatory Neural Networks based on VO2 Devices for Future Edge AI Computing
  50. Introduction to the Special Issue on Monolithic 3D: Technology, Design and Computing Systems Applications Perspectives
  51. Assessing doping strategies for monolayer MoS2 towards non-enzymatic detection of cortisol: a first-principles study
  52. Capillary-force-driven self-assembly of carbon nanotubes: from ab initio calculations to modeling of self-assembly
  53. Effects of Dynamical Decoupling and Pulse-Level Optimizations on IBM Quantum Computers
  54. Advanced Design Methods From Materials and Devices to Circuits for Brain-Inspired Oscillatory Neural Networks for Edge Computing
  55. Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks
  56. Dedicated Wearable Sensitive Strain Sensor, Based on Carbon Nanotubes, for Monitoring the Rat Respiration Rate
  57. Insights Into the Dynamics of Coupled VO2 Oscillators for ONNs
  58. Digital Implementation of Oscillatory Neural Network for Image Recognition Applications
  59. Oscillatory Neural Networks for Edge AI Computing
  60. Analyzing crosstalk error in the NISQ era
  61. Frequency Injection Locking-Controlled Oscillations for Synchronized Operations in VO2 Crossbar Devices
  62. Exploring 1D and 2D Nanomaterials for Health Monitoring Wearable Devices
  63. Multi-Scale Modeling and Simulation Flow for Oscillatory Neural Networks for Edge Computing
  64. Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic
  65. Graphene and Carbon Nanotubes for Electronics Nanopackaging
  66. 1D Nanomaterial-Based Highly Stretchable Strain Sensors for Human Movement Monitoring and Human-Robotic Interactive Systems
  67. Stretchable Strain Sensors for Human Movement Monitoring
  68. Review—Energy Autonomous Wearable Sensors for Smart Healthcare: A Review
  69. A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era
  70. Importance of Interconnects: A Technology-System-Level Design Perspective
  71. Emerging technologies and computing paradigms for the Internet of Everything applications. International Journal of Circuit, Theory, and Applications
  72. Investigation of Pt-Salt-Doped-Standalone- Multiwall Carbon Nanotubes for On-Chip Interconnect Applications
  73. Reliable Power Delivery and Analysis of Power-Supply Noise During Testing in Monolithic 3D ICs
  74. Editorial TVLSI Positioning—Continuing and Accelerating an Upward Trajectory
  75. Power-Supply Noise Analysis for Monolithic 3D ICs Using Electrical and Thermal Co-Simulation
  76. A high-reliability and low-power computing-in-memory implementation within STT-MRAM
  77. Atomistic- to Circuit-Level Modeling of Doped SWCNT for On-Chip Interconnects
  78. Power Supply Noise Aware Task Scheduling on Homogeneous 3D MPSoCs Considering the Thermal Constraint
  79. Understanding Electromigration in Cu-CNT Composite Interconnects: A Multiscale Electrothermal Simulation Study
  80. A Robust Dual Reference Computing-in-Memory Implementation and Design Space Exploration Within STT-MRAM
  81. Resistance Scaling of Cu Interconnect and Alternate Metal (Co, Ru) Benchmark toward sub 10nm Dimension
  82. Challenges and Progress on Carbon Nanotube Integration for BEOL Interconnects
  83. Addressing the Thermal Issues of STT-MRAM From Compact Modeling to Design Techniques
  84. Progress on carbon nanotube BEOL interconnects
  85. Variability Study of MWCNT Local Interconnects Considering Defects and Contact Resistances--Part I: Pristine MWCNT
  86. Variability Study of MWCNT Local Interconnects Considering Defects and Contact Resistances--Part II: Impact of Charge Transfer Doping
  87. Physical Design for 3D Integrated Circuits
  88. Design Methodology for 3D Power Delivery Networks *
  89. A physics-based investigation of Pt-salt doped carbon nanotubes for local interconnects
  90. Synchronised 4-Phase Resonant Power Clock Supply for Energy Efficient Adiabatic Logic
  91. Electromigration Alleviation Techniques for 3D Integrated Circuits
  92. Atomistic to circuit level modeling of defective doped SWCNTs with contacts for on-chip interconnect application
  93. Atoms-to-circuits simulation investigation of CNT interconnects for next generation CMOS technology
  94. The impact of vacancy defects on CNT interconnects: From statistical atomistic study to circuit simulations
  95. Electrical performance of carbon-based power distribution networks with thermal effects
  96. Guest Editorial Special Issue on Nanoelectronic Circuit and System Design Methods for the Mobile Computing Era
  97. A Survey of Carbon Nanotube Interconnects for Energy Efficient Integrated Circuits
  98. Carbon Nanotubes for Interconnects
  99. Editorial
  100. Temperature Impact Analysis and Access Reliability Enhancement for 1T1MTJ STT-RAM
  101. A Study of 3-D Power Delivery Networks With Multiple Clock Domains
  102. Alleviating Through-Silicon-Via Electromigration for 3-D Integrated Circuits Taking Advantage of Self-Healing Effect
  103. Front matters
  104. Investigation of electrical and thermal properties of carbon nanotube interconnects
  105. Physical description and analysis of doped carbon nanotube interconnects
  106. Exploring Carbon Nanotubes for 3D Power Delivery Networks
  107. Electrothermal Analysis of Carbon Nanotubes Power Delivery Networks for Nanoscale Integrated Circuits
  108. A clustering technique for fast electrothermal analysis of on-chip power distribution networks
  109. Investigation of the power-clock network impact on adiabatic logic
  110. Quantitative evaluation of reliability and performance for STT-MRAM
  111. Present and future prospects of carbon nanotube interconnects for energy efficient integrated circuits
  112. Reliability and performance evaluation for STT-MRAM under temperature variation
  113. Guest Editorial
  114. On Analysis of On-chip DC-DC Converters for Power Delivery Networks
  115. An architecture-level cache simulation framework supporting advanced PMA STT-MRAM
  116. Carbon-based Power Delivery Networks for nanoscale ICs: electrothermal performance analysis
  117. Message from the General and Program Chairs
  118. On the Performance Exploration of 3D NoCs with Resistive-Open TSVs
  119. A node clustering reduction scheme for power grids electrothermal analysis
  120. Towards a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior
  121. A Delay Probability Metric for Input Pattern Ranking Under Process Variation and Supply Noise
  122. Evaluating a radiation monitor for mixed-field environments based on SRAM technology
  123. Investigation of horizontally aligned carbon nanotubes for efficient power delivery in 3D ICs
  124. An intra-cell defect grading tool
  125. Protecting combinational logic in pipelined microprocessor cores against transient and permanent faults
  126. Test and diagnosis of power switches
  127. Timing-aware ATPG for critical paths with multiple TSVs
  128. On the reuse of read and write assist circuits to improve test efficiency in low-power SRAMs
  129. A novel method to mitigate TSV electromigration for 3D ICs
  130. Worst-case power supply noise and temperature distribution analysis for 3D PDNs with multiple clock domains
  131. Analyzing resistive-open defects in SRAM core-cell under the effect of process variability
  132. Computing detection probability of delay defects in signal line tsvs
  133. Frequency domain power and thermal integrity analysis of 3D power delivery networks
  134. A built-in scheme for testing and repairing voltage regulators of low-power srams
  135. Effect-cause intra-cell diagnosis at transistor level
  136. Test Solution for Data Retention Faults in Low-Power SRAMs
  137. Why and How Controlling Power Consumption during Test: A Survey
  138. Defect analysis in power mode control logic of low-power SRAMs
  139. Through-Silicon-Via resistive-open defect analysis
  140. Impact of resistive-open defects on the heat current of TAS-MRAM architectures
  141. Failure Analysis and Test Solutions for Low-Power SRAMs
  142. Power-Aware Test Pattern Generation for At-Speed LOS Testing
  143. Power supply noise and ground bounce aware pattern generation for delay testing
  144. Enhancement of the ATLAS trigger system with a hardware tracker finder FTK
  145. Reliability and performance studies of DC-DC conversion powering scheme for the CMS pixel tracker at SLHC
  146. Proposal for the development of 3D Vertically Integrated Pattern Recognition Associative Memory (VIPRAM)
  147. Performance studies of CMS Pixel Tracker using DC-DC conversion powering scheme
  148. Power distribution studies for CMS forward tracker
  149. Electromigration study of power-gated grids
  150. Power supply noise aware workload assignment for multi-core systems
  151. A study of reliability issues in clock distribution networks
  152. Exploration of carbon nanotubes for efficient power delivery
  153. Lumped electro-thermal modeling and analysis of carbon nanotube interconnects