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Computational methods and technical means of processing signals of side electromagnetic emanation
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Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications
Published 2025-01-01“…Moreover, considering recent FLASH memory fabrication processes, we found that grain boundaries in polycrystalline silicon channel materials can be involved in deteriorating gate controllability. Therefore, optimizing the pulse scheme by correcting potential errors identified in advance through fast SPICE simulation can enable the accurate achievement of the specific analog states of the FLASH cells of the CIM architecture, boosting computing performance.…”
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Utilizing Symmetric BSIM-SOI SPICE Model for Dynamically Depleted RF SOI T/R Switches and Logic Circuits
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PERFORMANCE OF THE DELTA MODULATION SYSTEM WITH VARIOUS DELTA STEP SIZES
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Flexible Synaptic Memristors With Controlled Rigidity in Zirconium‐Oxo Clusters for High‐Precision Neuromorphic Computing
Published 2025-03-01“…Abstract Flexible memristors are promising candidates for multifunctional neuromorphic computing applications, overcoming the limitations of conventional computing devices. …”
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Anti-Leukemic Profiling of Oxazole-Linked Oxadiazole Derivatives: A Computational and Kinetic Approach
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Observation of the non-Hermitian skin effect and Fermi skin on a digital quantum computer
Published 2025-02-01“…Here, we report the observation of the NHSE and its many-fermion analog on a universal quantum processor. To implement NHSE accumulation on a quantum computer, the time-evolution circuit not only needs to be non-reciprocal and non-unitary, but must also contain sufficiently many lattice qubits. …”
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A Computational Study on the Excitation Forces of Partially Submerged Propellers for High-Speed Boats
Published 2025-06-01“…This condition results in a unique operational scenario where propellers are only partially submerged. Conducting computational studies on the excitation of propellers under such circumstances is essential for optimizing the dynamic performance of the shafting system. …”
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A 13.44-Bit Low-Power SAR ADC for Brain–Computer Interface Applications
Published 2025-05-01“…This paper presents a successive approximation register analog-to-digital converter (SAR ADC) specifically optimized for brain–computer interface (BCI) applications. …”
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COMPUTER SIMULATIONS OF CONTROLLABILITY PROCESSES FOR ROBOTIC WHEELED PLATFORMS TAKING INTO ACCOUNT RESTRICTIONS OF JERK MOTIONS
Published 2022-03-01“…The computer simulations are considered as the required tool to design the suitable autonomous control systems optimal in different senses and especially in providing the restrictions of the jerk motions for the robotic wheeled platforms. …”
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Programmed evolution for optimization of orthogonal metabolic output in bacteria.
Published 2015-01-01“…We harnessed bacteria to compute solutions to the biological problem of metabolic pathway optimization. …”
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Optimal Whole Body Trajectory Planning for Mobile Manipulators in Planetary Exploration and Construction
Published 2025-01-01“…At the control center, offline motion planning is fundamental in the computation of optimized trajectories accounting for the system’s constraints. …”
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An Energy-Efficient Pipeline-SAR ADC Using Linearized Dynamic Amplifiers and Input Buffer in 22nm FDSOI
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Noise-augmented chaotic Ising machines for combinatorial optimization and sampling
Published 2025-01-01“…Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. …”
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SpecPCM: A Low-Power PCM-Based In-Memory Computing Accelerator for Full-Stack Mass Spectrometry Analysis
Published 2024-01-01“…SpecPCM employs analog processing with low-voltage swing and utilizes recently introduced phase change memory (PCM) devices based on superlattice materials, optimized for low-voltage and low-power programming. …”
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InMemQK: A Product Quantization Based MatMul Module for Compute-in-Memory Attention Macro
Published 2024-12-01“…However, the exponential increase in model parameters has led to limitations in inference speed and energy efficiency. Compute-in-memory (CIM) technology offers a promising solution to accelerate AI inference by performing analog computations directly within memory, potentially reducing latency and power consumption. …”
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