Results 61 to 70 of about 896,969 (285)

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

Leveraging Stochasticity for Open Loop and Model Predictive Control of Spatio-Temporal Systems

Entropy, 2021
Stochastic spatio-temporal processes are prevalent across domains ranging from the modeling of plasma, turbulence in fluids to the wave function of quantum systems. This letter studies a measure-theoretic description of such systems by describing them as
George I. Boutselis, Ethan N. Evans, Marcus A. Pereira, Evangelos A. Theodorou   +3 more
doaj   +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

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

Stochastic Energy Management Strategy for Autonomous PV–Microgrid Under Unpredictable Load Consumption

IEEE Access
This paper introduces a novel energy management strategy incorporating stochastic elements designed for off-grid photovoltaic (PV) systems supplying multiple loads in environments marked by unpredictable power usage.
Mohamed Aatabe, Reda El Abbadi, Alessandro N. Vargas, Allal El Moubarek Bouzid, Haneen Bawayan, Mohmed I. Mosaad   +5 more
doaj   +1 more source

Control of Time-Varying Epidemic-Like Stochastic Processes and Their Mean-Field Limits

, 2017
The optimal control of epidemic-like stochastic processes is important both historically and for emerging applications today, where it can be especially important to include time-varying parameters that impact viral epidemic-like propagation.
azizan ruhi, bernoulli, bertsikas, ethier, lu   +4 more
core   +1 more source

On the Solutions of a Stochastic Control System [PDF]

SIAM Journal on Control, 1971
The control system considered in this paper is modeled by the stochastic differential equation \[dx(t,\omega ) = f(t,x( \cdot ,\omega ),u(t,\omega ))dt + dB(t,\omega ),\] where B is n-dimensional Brownian motion, and the control u is a nonanticipative functional of $x( \cdot ,\omega )$ taking its values in a fixed set U.
Duncan, Tyrone E., Varaiya, Pravin
openaire   +3 more sources

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

Constrained Optimal Flyby Guidance Algorithm by Iterative Two-Stage Stochastic Programming

SICE Journal of Control, Measurement, and System Integration, 2017
Interplanetary micro-spacecraft have been recently demonstrated for various missions. Orbital control of micro-spacecraft is challenging because the spacecraft systems have severe constraints.
Naoya Ozaki, Yosuke Kawabata, Hiroshi Takeuchi, Tsutomu Ichikawa, Ryu Funase, Yasuhiro Kawakatsu   +5 more
doaj   +1 more source

On the Failure to Reach the Optimal Government Debt Ceiling

Risks, 2018
We develop a government debt management model to study the optimal debt ceiling when the ability of the government to generate primary surpluses to reduce the debt ratio is limited. We succeed in finding a solution for the optimal debt ceiling.
Abel Cadenillas, Ricardo Huamán-Aguilar
doaj   +1 more source