Results 141 to 150 of about 9,582 (250)

Laser‐Direct Printed 2D Material‐Based Heterostructure for the Fabrication of Electronic Devices

open access: yesSmall, EarlyView.
The Digital Laser‐Induced Forward Transfer (LIFT) approach is employed to pattern and stack 2D materials with micrometer‐scale precision. PdSe2 and MoSe2 are assembled into vertical p–n junctions, with graphene serving as a transparent electrode. The resulting laser‐transferred heterostructures exhibit high material quality and stable rectifying ...
Ilias Cheliotis   +12 more
wiley   +1 more source

A framework for quantifying and leveraging uncertainty in pre-trained CT denoising model. [PDF]

open access: yesIEEE Trans Biomed Eng
Gong H   +8 more
europepmc   +1 more source

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri   +3 more
wiley   +1 more source

Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace

open access: yessteel research international, EarlyView.
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

open access: yessteel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla   +12 more
wiley   +1 more source

A Detailed and Comprehensive Account of Fractional Physics‐Informed Neural Networks: From Implementation to Efficiency

open access: yesArtificial Intelligence for Engineering, EarlyView.
Caputo‐based fPINNs accurately solve fractional ODEs and PDEs while exposing an accuracy–cost trade‐off driven by the history‐dependent fractional derivative. Temporal collocation and shorter time windows are the most effective strategies for improving early‐time accuracy without unnecessary spatial refinement.
Donya Dabiri   +4 more
wiley   +1 more source

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