Results 71 to 80 of about 1,194,614 (343)
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
A Low-Power Read-Decoupled Radiation-Hardened 16T SRAM for Space Applications
Advancements in CMOS technology have significantly reduced both transistor dimensions and inter-device spacing, leading to a lower critical charge at sensitive nodes.
Sung-Jun Lim, Sung-Hun Jo
doaj +1 more source
Simplified Production of Large Prototypes using Visible Slicing [PDF]
Rapid Prototyping (RP) is a totally automatic generative manufacturing technique based on a “divide-and-conquer” strategy called ‘slicing’. Simple slicing used on 2.5-axis kinematics of the existing RP machines is responsible for the staircase error ...
Dwivedi, Rajeev +5 more
core +1 more source
Revisiting Symptom-Based Fault Tolerant Techniques against Soft Errors [PDF]
Hwisoo So +7 more
openalex +1 more source
Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley +1 more source
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Reduced complexity hard‐ and soft‐input BCH decoding with applications in concatenated codes
Error correction coding for optical communication and storage requires high rate codes that enable high data throughput and low residual errors. Recently, different concatenated coding schemes were proposed that are based on binary BCH codes with low ...
Jürgen Freudenberger +2 more
doaj +1 more source
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source
Modeling Application-Level Soft Error Effects for Single-Event Multi-Bit Upsets
Transient errors induced by radiations cause bit-flips in flip-flops (flip-flop soft errors). Modeling the error resilience level of a target system for flip-flop soft errors is a crucial step to achieve a cost-effective error resilience solution.
Hyungmin Cho, Kon-Woo Kwon
doaj +1 more source

