Results 171 to 180 of about 110,431 (303)

Evaluation of Plasticity and Creep Parameters From Tensile Stress–Strain Data for a Range of Strain Rates

Advanced Engineering Materials, EarlyView.
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley   +1 more source

Integrating Uncertainty Quantification into Computational Fluid Dynamics Models of Coronary Arteries Under Steady Flow. [PDF]

J Biomech Eng
Usman M, Castillo PN, Narayan A, Timmins LH.   +3 more
europepmc   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source

Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning. [PDF]

BME Front
Shen CY, Yang X, Li Y, Lenk L, Ji Z, Ozcan A.   +5 more
europepmc   +1 more source

On Representations and Quantifications of Uncertainty

Medical Decision Making
Rowan Iskandar, Thomas A. Trikalinos
openaire   +2 more sources

Optimal Frequency-Domain Uncertainty Quantification for MIMO Systems Using Normalised Hausdorff Measure

Uncertainty quantification is essential for robust controller synthesis to ensure stability and performance under varying conditions, parameters, and external disturbances. To reduce the conservatism in the controller design, a 'tight' description of the
Karimi, Alireza, Gupta, Vaibhav
core  

Nondestructive Testing of Welded Composite Metal Foams

Advanced Engineering Materials, EarlyView.
X‐ray computed tomography (CT) is used to evaluate welded steel–steel composite metal foam (CMF) joints of two density classes. It reports variation in postweld spatial void distribution and correlates it to weld‐induced changes, mechanical performance, and failure within welded CMF panels.
Chinmaya Prerana Inguva, Aman Kaushik, Afsaneh Rabiei   +2 more
wiley   +1 more source

ImmUQBench: a benchmark on uncertainty quantification of protein immunogenicity prediction. [PDF]

Oxf Open Immunol
Qayyum ABA, Rahmati AH, Qian X, Yoon BJ.
europepmc   +1 more source

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

Advanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge, P. Sanju S. Panawala, Joseph F. S. Fernando, Zhenhuan Chen, Chao Zhang, Dong‐Chen Qi, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +8 more
wiley   +1 more source

Bayesian uncertainty quantification to identify population level vaccine hesitancy behaviours. [PDF]

PLoS One
Warne DJ, Varghese A, Brewster A, Browning AP, Krell MM, Drovandi C, Hu W, Mira A, Mengersen K, Jenner AL.   +9 more
europepmc   +1 more source