Results 151 to 160 of about 892,017 (284)

Molecular Resonance Identification in Complex Absorbing Potentials via Integrated Quantum Computing and High-Throughput Computing. [PDF]

J Chem Theory Comput
Dai J, Vidwans A, Wan EH, Miller AX, Soley MB.   +4 more
europepmc   +1 more source

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

Generalized Eigenvalue Problem in Subspace-Based Excited-State Methods for Quantum Computers. [PDF]

J Chem Theory Comput
Kwao PF, Poyyapakkam Sundar S, Gupt B, Asthana A.   +3 more
europepmc   +1 more source

Reply to Letter: “Limitations of Complement Activity Assays as Biomarkers for Ravulizumab Therapeutic Monitoring” by Saccà and Pelto Regarding “Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab”

Annals of Clinical and Translational Neurology, EarlyView.
Lea Gerischer, Jutta Schroeder‐Braunstein, Guido Wabnitz, Andreas Meisel   +3 more
wiley   +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

Validation of longitudinal biomarker screening algorithms for HCC detection in patients with cirrhosis. [PDF]

Hepatol Commun
Singal AG, Jin Q, Marrero J, Parikh ND, Lok AS, Lopez C, Page-Lester S, Roberts LR, Reddy R, Luster M, Khaderi S, Asrani SK, El-Serag HB, Kanwal F, Feng Z, Tayob N.   +15 more
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

Exact string matching algorithms

, 2013
Substring searching is one of the most prominent problems in computer science. We described and compared with each other by now well-known approaches to the solution. Algorithms were classified according to their properties, such as number of patterns and the direction in which the comparisons are performed.
openaire   +1 more source

A Comparison of Algorithms to Achieve the Maximum Entropy in the Theory of Evidence. [PDF]

Entropy (Basel)
Abellán J, López-Gay A, Benítez MIA, Castellano FJG.   +3 more
europepmc   +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