Results 231 to 240 of about 7,051,446 (291)

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

Advanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao, Keldy Mason, Mert Gülçür, Rachel Paddock‐Lamb, Prince Alvin Fofanah, Zachariah A. Page, Michael Cullinan   +6 more
wiley   +1 more source

The patient treatment register

, 2005
National Treatment Purchase Fund
core  

Molecular insights into the high-efficiency catabolism of chloramphenicol for soil bioaugmentation by <i>Nocardia testacea</i> CS1. [PDF]

Eco Environ Health
Wang Q, Yang T, Liu Y, Ke Z, Song Y, Shan Y, Deng H, He H, Ji R, Jiao W, Jin X.   +10 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

The patient treatment registar

, 2008
National Treatment Purchase Fund
core  

Editorial: Biofilms in aquatic environments and new strategies for microbial biofilm control. [PDF]

Front Microbiol
Antunes JT, Gomes IB, Proia L.
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

Microbial and Enzymatic Degradation of Nylon: Mechanisms, Diversity, and Biotechnological Application. [PDF]

J Microbiol Biotechnol
Jung SY, Kim MS, Yun SD, Son HF, Yeom SJ.   +4 more
europepmc   +1 more source

A Novel Polyphosphate-Degrading Enzyme Confers Growth on Exogenous Polyphosphate in the Archaeon Haloferax volcanii. [PDF]

Environ Microbiol
Nicholls JWF, O'Flaherty V, Lenton TM, McGrath JW, Chin JP.   +4 more
europepmc   +1 more source

Biological Degradation of Spent Coffee Grounds by White Rot Fungi. [PDF]

Microbiologyopen
Civzele A, Sila A, Mezule L.
europepmc   +1 more source