Results 271 to 280 of about 854,725 (353)
In this work, a combination of 4D STEM phase reconstructions via iterative electron ptychography, spectroscopy, and conventional STEM imaging reveals detailed insights into the nucleation mechanism for the stable growth of Cu‐based delafossites on Al2O3 using CuCrO2 and CuFeO2 films grown via MBE as examples.
Anna Scheid+7 more
wiley +1 more source
AnnSQL: a Python SQL-based package for fast large-scale single-cell genomics analysis using minimal computational resources. [PDF]
Pavan K, Saunders A.
europepmc +1 more source
Optimization of the rheological properties of supporting baths based on fumed silica with different alkyl chains functionalization suspended in polyethylene glycol and adjustment of the rheology of the ink to reduce the effect of the crevasses formed in high‐yield stress supporting baths to approach embedded 3D prints with high shape accuracy ...
Grace Vera+5 more
wiley +1 more source
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek+7 more
wiley +1 more source
CompactTree: a lightweight header-only C++ library and Python wrapper for ultra-large phylogenetics. [PDF]
Moshiri N.
europepmc +1 more source
Automatic Exposure Volumetric Additive Manufacturing
Tomographic volumetric additive manufacturing (VAM) is resin‐based 3D printing technology, where objects are printed in seconds using volumetric light patterning. Although fast, tomographic VAM struggles to produce repeatable and accurate prints. This work demonstrates an automatic exposure method for tomographic VAM, resulting in commercial‐grade ...
Antony Orth+10 more
wiley +1 more source
Analysis and Visualization of Multi-Scale Astrophysical Simulations Using Python and NumPy
Matthew Turk
openalex +1 more source
Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng+2 more
wiley +1 more source
Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning. [PDF]
Santoso R+3 more
europepmc +1 more source