Results 231 to 240 of about 17,106 (295)

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
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, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach. [PDF]

Anaesthesia
Arina P, Ferrari D, Tetlow N, Dewar A, Stephens R, Martin D, Moonesinghe R, Curcin V, Singer M, Whittle J, Mazomenos EB.   +10 more
europepmc   +1 more source

Function Space Optimization: A Symbolic Regression Method for Estimating Parameter Transfer Functions for Hydrological Models. [PDF]

Water Resour Res, 2020
Feigl M, Herrnegger M, Klotz D, Schulz K.   +3 more
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
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, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

SRBench++ : principled benchmarking of symbolic regression with domain-expert interpretation. [PDF]

IEEE Trans Evol Comput
de Franca FO, Virgolin M, Kommenda M, Majumder MS, Cranmer M, Espada G, Ingelse L, Fonseca A, Landajuela M, Petersen B, Glatt R, Mundhenk N, Lee CS, Hochhalter JD, Randall DL, Kamienny P, Zhang H, Dick G, Simon A, Burlacu B, Kasak J, Machado M, Wilstrup C, La Cava WG.   +23 more
europepmc   +1 more source

Silicon Nitride Resistive Memories

Advanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis, Nikolaos Vasileiadis, Iosif‐Angelos Fyrigos, Emmanouil Stavroulakis, Caroline Bonafos, Pascal Normand, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis   +7 more
wiley   +1 more source

Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics. [PDF]

PNAS Nexus
Makke N, Chawla S.
europepmc   +1 more source

The Influence of Residual Ion Drift During Programming of Chip‐Integrated Nanoscale HfO2‐Based Memristive Devices

Advanced Electronic Materials, EarlyView.
1T1R‐arrays combining filamentary‐type memristors and CMOS transistors offer great potential for energy‐efficient analog hardware accelerators. Here, transient SET analysis of nanoscale HfO2 memristors integrated on 180 nm CMOS wafers is discussed.
Oliver Artner, Felix Cüppers, Seokki Son, Yang Chen, Xiaohua Liu, Christopher Bengel, Dennis Nielinger, André Zambanini, Stefan Wiefels, Stephan Menzel, Regina Dittmann, Susanne Hoffmann‐Eifert   +11 more
wiley   +1 more source

Automated data-driven discovery of material models based on symbolic regression: A case study on the human brain cortex. [PDF]

Acta Biomater
Hou J, Chen X, Wu T, Kuhl E, Wang X.
europepmc   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
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, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source