Results 141 to 150 of about 86,912 (265)

NMDA receptor kinetics drive distinct routes to chaotic firing in pyramidal neurons. [PDF]

Front Comput Neurosci
Borjkhani M, Borjkhani H, Sharif MA, Bahrami F, Janahmadi M.   +4 more
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

KTaO₃-Based Supercurrent Diode. [PDF]

Nano Lett
Yu M, Kim J, Omran A, Li Z, Yang J, Biswas S, Eom CB, Pekker D, Irvin P, Levy J.   +9 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

Acid-sensing ion channel 2a assembles with epithelial Na⁺ channel β and γ subunits to form mechanosensitive ion channels. [PDF]

J Biol Chem
Shi S, Whelan SCM, Szekely KG, Kashlan OB, Drummond H, Kleyman TR.   +5 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

Functional development of photoreceptors in human retinal organoids. [PDF]

Stem Cell Res Ther
Zhang Y, Du M, Wang YH, Li M, Jin K, Pan D, Zhang X, Jin ZB.   +7 more
europepmc   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

Advanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev, Noah‐Lean Roschlaub, Anne Jung   +2 more
wiley   +1 more source

Temperature and intrinsic Ca²⁺ reshape TRPM4 pharmacology. [PDF]

Nat Struct Mol Biol
Hu J, Ievleva S, Park SJ, Lee J, Cheng J, O'Dea G, Sheng J, Du J, Lü W.   +8 more
europepmc   +1 more source

Observations of Bottom Currents in the Korea Strait

Korean Journal of Fisheries and Aquatic Sciences, 2016
Jae Chul Lee, Dae Hyun Kim
openaire   +2 more sources