Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
An Inverse Analysis of Interfacial Parameter Values for Mode I Debonding Between Steel and Hot-Melt Adhesive. [PDF]
Shi J +5 more
europepmc +1 more source
Theoretical Analysis, Neural Network-Based Inverse Design, and Experimental Verification of Multilayer Thin-Plate Acoustic Metamaterial Unit Cells. [PDF]
Wang A +6 more
europepmc +1 more source
Impact of exercise-induced fatigue on the risk of stress fractures in the tibia during smash landing in female badminton players. [PDF]
Ma J +7 more
europepmc +1 more source
Artificial Intelligence in Materials Science and Engineering. [PDF]
Lacki P +4 more
europepmc +1 more source
Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]
A J Al-Shatrah M, Sabah Hussein M.
europepmc +1 more source
A clinically applicable energy-based approach for evaluating bone strength. [PDF]
Bai Q +11 more
europepmc +1 more source
Related searches:
An improved inverse finite element method for shape sensing using isogeometric analysis
Measurement: Journal of the International Measurement Confederation, 2021The inverse finite element method (iFEM) is advisable as accurate and efficient method for structure health monitoring (SHM). The previous standard iFEM uses 0th-order and 1st-order shape functions to reconstruct displacement fields under concentrated ...
Feifei Zhao, H. Bao
semanticscholar +3 more sources
The inverse finite element method (IFEM), which is used to reconstruct the displacement field from the discrete surface strain measurements, is of great significance to the management, control and driving of smart structures.
Feifei Zhao, Libo Xu, H. Bao, Jing-li Du
semanticscholar +3 more sources

