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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 "…