output
20222025
most citedA Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems

44 citations

13 papers

cond-mat.mtrl-sci2025★ 2 cited

Revealing the Influence of Dopants on the Properties of Fluorite Structure Ferroelectrics

Shouzhuo Yang, David Lehninger, Markus Neuber +6

Fluorite structure ferroelectrics, especially hafnium oxide, are widely investigated for their application in non-volatile memories, sensors, actuators, RF devices and energy harve…

eess.SP2025★ 3 cited

A critical note on the sideband peak count-index technique: failure for nonlinear damage characterization of impacted CFRP plates

Bernd Köhler, Frank Schubert

It is widely accepted, that nonlinear elastodynamic methods are superior to linear methods in detecting early stages of material deterioration. A number of recently developed metho…

cs.ET2025★ 2 cited

Device-Algorithm Co-Design of Ferroelectric Compute-in-Memory In-Situ Annealer for Combinatorial Optimization Problems

Yu Qian, Xianmin Huang, Ranran Wang +5

Combinatorial optimization problems (COPs) are crucial in many applications but are computationally demanding. Traditional Ising annealers address COPs by directly converting them…

physics.optics2025★ 3 cited

Dynamical spatial light modulation in the ultraviolet spectral range

Maximilian Ammenwerth, Hendrik Timme, Veronica Giardini +8

Spatial light modulators enable arbitrary control of the intensity of optical light fields and facilitate a variety of applications in biology, astronomy and atomic, molecular and…

physics.app-ph2025

Probabilistic Greedy Algorithm Solver Using Magnetic Tunneling Junctions for Traveling Salesman Problem

Ran Zhang, Xiaohan Li, Caihua Wan +15

Combinatorial optimization problems are foundational challenges in fields such as artificial intelligence, logistics, and network design. Traditional algorithms, including greedy m…

cs.ET2025★ 3 cited

TReCiM: Lower Power and Temperature-Resilient Multibit 2FeFET-1T Compute-in-Memory Design

Yifei Zhou, Thomas Kämpfe, Kai Ni +3

Compute-in-memory (CiM) emerges as a promising solution to solve hardware challenges in artificial intelligence (AI) and the Internet of Things (IoT), particularly addressing the "…

physics.app-ph2025★ 4 cited

Engineering-Oriented Design of Drift-Resilient MTJ Random Number Generator via Hybrid Control Strategies

Ran Zhang, Caihua Wan, Yingqian Xu +15

Magnetic Tunnel Junctions (MTJs) have shown great promise as hardware sources for true random number generation (TRNG) due to their intrinsic stochastic switching behavior. However…

cs.LG2024★ 6 cited

FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing

Chao Li, Zhicheng Xu, Bo Wen +5

In scenarios with limited training data or where explainability is crucial, conventional neural network-based machine learning models often face challenges. In contrast, Bayesian i…

cond-mat.mes-hall2024★ 10 cited

Industrially fabricated single-electron quantum dots in Si/Si-Ge heterostructures

Till Huckemann, Pascal Muster, Wolfram Langheinrich +12

This paper reports the compatibility of heterostructure-based spin qubit devices with industrial CMOS technology. It features Si/Si-Ge quantum dot devices fabricated using Infineon…

cs.ET2024★ 6 cited

C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium

Yu Qian, Kai Ni, Thomas Kämpfe +2

The concept of Nash equilibrium (NE), pivotal within game theory, has garnered widespread attention across numerous industries. Recent advancements introduced several quantum Nash…

physics.app-ph2024★ 25 cited

Bistable Organic Electrochemical Transistors: Enthalpy vs. Entropy

Lukas M. Bongartz, Richard Kantelberg, Tommy Meier +6

Organic electrochemical transistors (OECTs) underpin a range of emerging technologies, from bioelectronics to neuromorphic computing, owing to their unique coupling of electronic a…

cs.ET2023★ 44 cited

A Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems

Xunzhao Yin, Yu Qian, Alptekin Vardar +11

Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many applications, including logistical planning, resource allocation, chip design, drug explorati…

physics.app-ph2022★ 18 cited

Microacoustic metagratings at ultra-high frequencies fabricated by two-photon lithography

Anton Melnikov, Sören Köble, Severin Schweiger +3

The recently proposed bianisotropic acoustic metagratings offer promising opportunities for passive acoustic wavefront manipulation, which is of particular interest in flat acousti…