Results 171 to 180 of about 44,636 (300)

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Implementation of an uncertainty quantification tool in MATLAB

, 2016
The present work is dedicated to implement an uncertainty quantification tool in MATLAB using the non-intrusive polynomial chaos expansion method and to examine the tool performance with an application test case.
Matic Češnovar
core  

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors. [PDF]

ACS Nano
Goncharov A, Ghosh R, Joung HA, Di Carlo D, Ozcan A.   +4 more
europepmc   +1 more source

Uncertainty quantification in linear inverse problems with dimension reduction

Proceedings of the 16th International Congress of the Brazilian Geophysical Society&Expogef, 2019
Leandro de Figueiredo, Dario Grana, Leonardo Azevedo, Mauro Roisenberg, Bruno Rodrigues   +4 more
openaire   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

Uncertainty quantification of U-Net based segmentation tool using conformal prediction. [PDF]

J Appl Clin Med Phys
Borden BJ, Graham-Knight JB, Lasserre P, Lucas S, Rajapakshe RD.   +4 more
europepmc   +1 more source

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source

Multifidelity Uncertainty Quantification of a Commercial Supersonic Transport

, 2018
The objective of this work was to develop a multifidelity uncertainty quantification approach for efficient analysis of a commercial supersonic transport concept.
West, Thomas K. IV, Phillips, Ben D.
core  

Calibration, Sensitivity and Uncertainty Analysis of Complex Ecological Models-A Review. [PDF]

Ecol Lett
Malchow AK, Hartig F.
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source