Results 41 to 50 of about 1,027,590 (285)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Efficient confidence interval computation for physics-aware machine learning of diffusion-sorption models

Frontiers in Water
The FInite Volume Neural Network (FINN) is an advanced, physics-aware machine learning (ML) framework that merges the structure and accuracy of traditional numerical methods with the flexibility of artificial neural networks.
Stefania Scheurer, Stefania Scheurer, Riccardo Frenner, Riccardo Frenner, Riccardo Frenner, Tim Brünnette, Tim Brünnette, Sergey Oladyshkin, Sergey Oladyshkin, Wolfgang Nowak, Wolfgang Nowak   +10 more
doaj   +1 more source

Stochastic Satbility and Performance Robustness of Linear Multivariable Systems [PDF]

, 1990
Stochastic robustness, a simple technique used to estimate the robustness of linear, time invariant systems, is applied to a single-link robot arm control system. Concepts behind stochastic stability robustness are extended to systems with estimators and
Ryan, Laurie E., Stengel, Robert F.
core   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Chattering and congestion collapse in an overload switching control

Stochastic Systems, 2016
Routing mechanisms for stochastic networks are often designed to produce state space collapse (SSC) in a heavy-traffic limit, i.e., to confine the limiting process to a lower-dimensional subset of its full state space.
Ohad Perry, Ward Whitt
doaj   +1 more source

Modeling Stochastic Hybrid Systems [PDF]

, 2006
Stochastic hybrid systems arise in numerous applications of systems with multiple models; e.g., air traffc management, flexible manufacturing systems, fault tolerant control systems etc. In a typical hybrid system, the state space is hybrid in the sense that some components take values in a Euclidean space, while some other components are discrete.
Ghosh, Mrinal K., Bagchi, Arunabha
openaire   +2 more sources

Extending Hybrid CSP with Probability and Stochasticity

, 2015
Probabilistic and stochastic behavior are omnipresent in computer controlled systems, in particular, so-called safety-critical hybrid systems, because of fundamental properties of nature, uncertain environments, or simplifications to overcome complexity.
A Abate, A Platzer, C Morgan, C Zhou, CAR Hoare, E Altman, EM Hahn, EM Hahn, J Hu, J Liu, J Meseguer, J Sproston, L Zhang, ML Bujorianu, ML Bujorianu, ML Bujorianu, P Zuliani   +16 more
core   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Moderate deviations for recursive stochastic algorithms

Stochastic Systems, 2015
We prove a moderate deviation principle for the continuous time interpolation of discrete time recursive stochastic processes. The methods of proof are somewhat different from the corresponding large deviation result, and in particular the proof of the ...
Paul Dupuis, Dane Johnson
doaj   +1 more source

Deterministic Detection of Single Ion Implantation

Advanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead, Lok Kan Wan, Maddison Coke, Janet Jacobs, Nicholas F. L. Collins, Mark C. Rosamond, Richard J. Curry   +6 more
wiley   +1 more source