Results 111 to 120 of about 24,279 (168)

Erratum: Learning to simulate realistic human diffuse reflectance spectra (Erratum). [PDF]

J Biomed Opt
Hübner M, Bin Qasim A, Studier-Fischer A, Rees M, Tran Ba V, Nölke JH, Seidlitz S, Sellner J, Heinecke J, Brandt J, Özdemir B, Dreher K, Seitel A, Nickel F, Max Haney C, Kowalewski KF, Ayala L, Maier-Hein L.   +17 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

ROS 4 healthcare: a framework for physiological human sensing for social, assistive, rehabilitation, and medical robotics. [PDF]

Front Robot AI
Manríquez-Cisterna RJ, Mishra P, Peña-Queralta J, Perez-Serrano M, Garyfallidis S, Kupper L, Ejtehadi M, Breuss A, Ravankar AA, Salazar Luces JV, Riener R, Hirata Y, Paez-Granados D.   +12 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

Shared expectations of soft haptic feedback through imagined high-fives with robots and non-human animals at a science festival. [PDF]

Sci Rep
van Laake LC, van Beek FE, Kuling IA.
europepmc   +1 more source

Defect Evolution and Mechanical Performance of Fused Filament Fabrication‐Manufactured 17‐4PH Stainless Steel Revealed by X‐Ray Computed Tomography

Advanced Engineering Materials, EarlyView.
X‐ray computed tomography reveals how process‐induced defects evolve from green to sintered states in Fused Filament Fabrication (FFF)‐manufactured 17‐4PH stainless steel. Internal porosity, weakest cross‐sections, and fracture locations show strong correlation with tensile performance, demonstrating the potential of computed tomography (CT)‐based ...
György Ledniczky, Márk Sárközi, Ibolya Zsoldos, Zoltán Weltsch   +3 more
wiley   +1 more source

Electronically driven soliton-like thermal pulses. [PDF]

Nat Commun
Li J, Xu C, Xu Z, Yang S, Liu K, Han J, Zhang X, Ho GW, Li T, Qiu CW.   +9 more
europepmc   +1 more source

Active Corrosion Protection of Sintered AA7075 Aluminum Alloy via Mn Powder Addition

Advanced Engineering Materials, EarlyView.
AA7075 containing Mn‐rich particles is fabricated via spark plasma sintering using AA7075 and Mn powders. Corrosion resistance is evaluated through dip‐and‐dry tests using 0.1 M NaCl (pH 6.0), and mass loss decreases with increasing Mn addition. Mn‐rich particles function as a source of Mn ions, and formation of Mn‐accumulation films on Cu‐containing ...
Ko Ebina, Masashi Nishimoto, Izumi Muto
wiley   +1 more source

A Return to the Logic-First Spirit of Corey's Retrosynthetic Analysis, Now Implemented in Modern Data-Driven CASP. [PDF]

ACS Cent Sci
Kabeshov M, Bergonzini G, Engkvist O.
europepmc   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source