Results 131 to 140 of about 274,989 (217)

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Author Correction: Emergence of structures in neuronal network activities. [PDF]

Sci Rep
Darbin O, Eghbalnia HR, Romeo A, Montgomery EB.   +3 more
europepmc   +1 more source

Elephant Black Garlic's Beneficial Properties for Hippocampal Neuronal Network, Chemical Characterization and Biological Evaluation. [PDF]

Foods, 2023
Gavilán J, Mardones C, Oyarce G, Triviño S, Espinoza-Rubilar N, Ramírez-Molina O, Pérez C, Becerra J, Varas P, Duran-Arcos R, Muñoz-Montesino C, Moraga-Cid G, Yévenes GE, Fuentealba J.   +13 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Neuronal network dynamics in the posterodorsal amygdala: shaping reproductive hormone pulsatility. [PDF]

J R Soc Interface
Nechyporenko K, Voliotis M, Li XF, Hollings O, Ivanova D, Walker JJ, O'Byrne KT, Tsaneva-Atanasova K.   +7 more
europepmc   +2 more sources

Neuronal network inactivity potentiates neuropeptide release from mouse cortical neurons. [PDF]

eNeuro
Priebe T, Subkhangulova A, Toonen RF, Verhage M.   +3 more
europepmc   +1 more source

Chimera state in a feed-forward neuronal network. [PDF]

Cogn Neurodyn, 2023
Feng P, Yang J, Wu Y.
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Altered neuronal network connectivity in children with fetal alcohol spectrum disorder and its association with inhibitory function. [PDF]

Alcohol Clin Exp Res (Hoboken)
Alsameen MH, Candelaria-Cook FT, Cerros CM, Hill DE, Stephen JM.   +4 more
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