Results 211 to 220 of about 6,535,064 (243)

Production of Highly Porous Carbon Materials from Coastal Driftwood. [PDF]

Materials (Basel)
Morgan HM, Tsai CH, Tsai WT.
europepmc   +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

Non-Conventional Processing Technologies in Meat and Meat Products: Toward Clean-Label, Quality, and Sustainable Innovation. [PDF]

Foods
Dias MMDS, Nalon GA, Pereira VL, Souza DA, Cunha JS, Medeiros HS, Leite Júnior BRC.   +6 more
europepmc   +1 more source

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

Early detection of microcirculatory changes using simultaneous heated and unheated transcutaneous blood gas monitoring: a proof-of-concept study in a porcine lipopolysaccharide model of systemic inflammation. [PDF]

Front Med (Lausanne)
Hoofs MA, Te Nijenhuis LH, Gangaram-Panday NH, Specht PAC, Mik EG, Harms FA, Reiss IKM, van Weteringen W.   +7 more
europepmc   +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

Editorial for the Special Issue "Management, Development, and Breeding of <i>Coffea</i> sp. Crop". [PDF]

Plants (Basel)
Rodrigues WP, Partelli FL.
europepmc   +1 more source

Assessment of MR-Induced Heating Effects in Four Common Veterinary Implants at 1.5 and 3.0 T: A Phantom Study. [PDF]

Vet Radiol Ultrasound
Kurihara M, Kimura T, Yodo K, Shibukawa S.   +3 more
europepmc   +1 more source

Multimodal modeling framework and characteristic analysis of a new air-source heat pump heating system. [PDF]

Sci Rep
Jiang M, Feng G, Wang Z, Jiang M, Fu Y, Bai R.   +5 more
europepmc   +1 more source