Results 71 to 80 of about 700,908 (311)

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

NEUROMORPHIC COMPUTING BASED ON STOCHASTIC SPIKING RESERVOIR FOR HEARTBEAT CLASSIFICATION

Jordanian Journal of Computers and Information Technology, 2022
Heart disease is the leading cause of mortality worldwide. The precise heartbeat classification usually requires higher number of extracted features and heartbeats of the same class may also behave differently in patients.
Yan Chiew Wong
doaj   +1 more source

A quantum stochastic Lie-Trotter product formula. [PDF]

, 2010
A Trotter product formula is established for unitary quantum stochastic processes governed by quantum stochastic differential equations with constant bounded ...
Lindsay, J Martin, Martin Lindsay, J., Sinha, Kalyan B., Sinha, Kalyan B, Lindsay, J. Martin   +4 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

An application of the nonselfadjoint operators theory in the study of stochastic processes

, 2004
The theory of operator colligations in Hilbert spaces gives rise to certain models for nonselfadjoint operators, called triangular models. These models generalize the spectral decomposition of selfadjoint operators.
Lyazid Abbaoui, Debbi, Latifa, Latifa Debbi, Abbaoui, Lyazid   +3 more
core   +1 more source

Randomness, Stochasticity, and Approximations [PDF]

Theory of Computing Systems, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior

Advanced Engineering Materials, EarlyView.
Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski, Matthias Schmidt, Peter Nyhuis   +2 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Memristor-based model of neuronal excitability and synaptic potentiation

Frontiers in Neuroscience
In this manuscript, we investigate the memristor-based implementation of neuronal ion channels in a mathematical model and an experimental circuit for a neuronal oscillator. We used a FitzHugh-Nagumo equation system describing neuronal excitability.
Ivan M. Kipelkin, Ivan M. Kipelkin, Svetlana A. Gerasimova, Alexey I. Belov, Davud V. Guseinov, Alexander V. Kruglov, Dmitry A. Serov, Max O. Talanov, Max O. Talanov, Alexey N. Mikhaylov, Alexey N. Mikhaylov, Victor B. Kazantsev, Victor B. Kazantsev   +12 more
doaj   +1 more source

Multi-element stochastic reduced basis methods [PDF]

, 2007
This paper presents mutli-element Stochastic Reduced Basis Methods (ME-SRBMs) for solving linear stochastic partial differential equations. In ME-SRBMs, the domain of definition of the random inputs is decomposed into smaller subdomains or random ...
Surya Mohan, P., Andy J. Keane, Keane, Andy J., Prasanth B. Nair, P. Surya Mohan, Nair, Prasanth B.   +5 more
core   +1 more source