Results 221 to 230 of about 150,984 (329)
Using graph neural network and symbolic regression to model disordered systems. [PDF]
Chen R +5 more
europepmc +1 more source
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Data-driven modelling of LTI systems using symbolic regression
Dhruv Khandelwal +2 more
openalex +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
A Functional Analysis Approach to Symbolic Regression [PDF]
Kirill Antonov +5 more
openalex +1 more source
Physically Consistent Self-Diffusion Coefficient Calculation with Molecular Dynamics and Symbolic Regression. [PDF]
Angelis D +3 more
europepmc +1 more source
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
Neural Structure Embedding for Symbolic Regression via Continuous Structure Search and Coefficient Optimization [PDF]
Fateme Memar, Tao Zhe, Dongjie Wang
openalex
Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic Regression. [PDF]
Cohen BG, Beykal B, Bollas GM.
europepmc +1 more source
From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku +5 more
wiley +1 more source

