Results 191 to 200 of about 481,004 (314)

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

A Breed-Specific SNP Panel With Higher Theoretical Exclusion Power and Practical Equivalence to International Standards for Parentage Testing in Pura Raza Española Horses. [PDF]

Anim Genet
Laseca N, Molina A, Marshall T, González I, Poyato-Bonilla J, Valera M.   +5 more
europepmc   +1 more source

Supplemental Material for Adversity, Psychological Strengths, and Well-Being During Collective Trauma: Results From a Nationally Representative, Probability-Based U.S. Sample

openalex   +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

Application of randomized quadrature formulas to the finite element method for elliptic equations. [PDF]

BIT Numer Math
Kruse R, Polydorides N, Wu Y.
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Neural Quantum States Based on Selected Configurations. [PDF]

J Phys Chem Lett
Julian Solanki M, Ding L, Reiher M.
europepmc   +1 more source

Supplemental Table 2 from The Association between State-Level Structural Racism and Alcohol and Tobacco Use Behaviors among a National Probability Sample of Black Americans

Nathaniel Woodard, James Butler, Debarchana Ghosh, Kerry M. Green, Cheryl L. Knott   +4 more
openalex   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Who needs closure? Estimating abundance with a Markovian availability model for geographically open removal sampling. [PDF]

Ecology
Perry RW, Pope AC, Hendrix AN, Kirsch JE, Matthias BG, Dodrill MJ.   +5 more
europepmc   +1 more source