Results 161 to 170 of about 37,859 (302)

Data‐driven elemental descriptors for rational design of high‐sensitivity extreme ultraviolet photoresists

open access: yesSmart Molecules, EarlyView.
Data‐driven descriptors indicate that elements such as I, Te, In, Sn, Sb, Cs and Bi have positive impact on EUV sensitivity in photoresists, whereas elements like C and H exhibit negative contributions. Abstract The rational design of high‐sensitivity photoresists for extreme ultraviolet (EUV) lithography is hindered by the lack of quantitative ...
Jiyuan Liu   +3 more
wiley   +1 more source

Data Schema Evolution for the Self‐Adaptive Software Domain: A Systematic Mapping Study

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Context Self‐adaptive Software (SaS) is a special category of software systems that enables adaptation at runtime to address new user requirements or changes in its execution environment. This article focuses on a specific category of SaS named SaS2DB, which encompasses systems that require the storage of data in a database. In short, a SaS2DB
Gabriel Nagassaki Campos   +4 more
wiley   +1 more source

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

open access: yessteel research international, EarlyView.
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen   +6 more
wiley   +1 more source

MAPE with different training window sizes and retraining periods.

open access: yes
MAPE with different training window sizes and retraining periods.
Na Li (6550)   +4 more
core   +1 more source

Creep Performance of Stainless Steel 316 Brackets: Insights From Conventional and Advanced Modeling Approaches

open access: yessteel research international, EarlyView.
Creep behavior of SS 316 brackets is examined through experiments, conventional creep laws, and advanced constitutive modeling. Long‐term deformation, stress redistribution, and life prediction are compared under service‐relevant loads. The study highlights the limits of classical models and demonstrates improved accuracy using advanced approaches for ...
Mohsin Sattar   +7 more
wiley   +1 more source

Reducing the use of Fossil Carbon and Fuels to Defossilize the Electric Steelmaking Route: Evaluation of the Effects of Alternative C‐Bearing Materials and Hydrogen in the Electric Arc Furnace

open access: yessteel research international, EarlyView.
The experiments and simulations demonstrate that, in general, alternative carbon sources can decrease fossil CO2 without adversely impacting EAF process and product. High plastics and tires ratios cause unsafe conditions and poor slag foaming. Hydrogen in EAF burners decreases CO2 but increases water vapor, which can raise the hydrogen content in ...
Ismael Matino   +7 more
wiley   +1 more source

Another Look at Measures of Forecast Accuracy [PDF]

open access: yes
We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core  

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

open access: yesStructural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion

open access: yesArtificial Intelligence for Engineering, EarlyView.
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley   +1 more source

An Interpretable PK-Informed Hybrid Model for Voriconazole Exposure Prediction: Roles of CYP2C19 Genotype and Inflammation. [PDF]

open access: yesDrug Des Devel Ther
Zhou Y   +13 more
europepmc   +1 more source

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