Results 151 to 160 of about 13,162,473 (330)

Impact of large-scale analysis constraints on C-band radar data assimilation during the simulation of two heavy rainfall events over southern peninsular India [PDF]

Francis Babu, Govindan Kutty
openalex   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Data for "A scalable physically based framework for large-scale GLOF simulation and downstream exposure assessment"

Orie Sasaki, Yutaro OMI, Shinjiro Kanae
openalex   +2 more sources

Large-scale quantum simulations of dissipative spin-1/2 Heisenberg chains [PDF]

João C. Getelina, Andrew Cox, Muhammad Asaduzzaman, Omar Alsheikh, Ryan S. Bennink, James K. Freericks, A. F. Kemper   +6 more
openalex   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

3D numerical simulation of a large-scale MTO fluidized bed reactor

, 2012
3D numerical simulation of a large-scale MTO fluidized bed ...
刘中民, 叶茂, 赵银峰, 李华
core  

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 a large-scale simulation-based cardiovascular clinical examination course for undergraduate medical students - a pilot study. [PDF]

BMC Med Educ, 2019
Arangalage D, Abtan J, Gaschignard J, Ceccaldi PF, Remini SA, Etienne I, Ruszniewski P, Plaisance P, De Lastours V, Lefort A, Faye A.   +10 more
europepmc   +1 more source

Interaction density drives cooperation in large evolutionary populations: Evidence from large-scale agent-based simulations [PDF]

Oscar Marín, Iria Paz Gil, José Torres-Pruñonosa, Raúl Gómez Martínez   +3 more
openalex   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source