Results 201 to 210 of about 3,190,588 (297)

Correction: A Physics Informed Neural Network (PINN) framework for fractional order modeling of Alzheimer's disease. [PDF]

Front Neuroinform
Mehmood A, Farman M, Afzal F, Nisar KS, Ahmed MA, Hafez M.   +5 more
europepmc   +1 more source

Parameter Variation in Planetary Ball Milling of Titanium Aluminide Powder in XHV‐Adequate Atmosphere

Advanced Engineering Materials, EarlyView.
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann, Armin Piwek, Julius Peddinghaus, Kai Brunotte, Bernd-Arno Behrens   +4 more
wiley   +1 more source

Striking a Balance With Business and Engineering Content in Biomedical Engineering Capstone Design. [PDF]

J Biomech Eng
Eberhardt AW.
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Transboundary water conflicts, cooperation, and pathways forward. [PDF]

Proc Natl Acad Sci U S A
AghaKouchak A, Hjelmstad A, Khodkar K, de Oliveira D, Aleisa E, Alexander AC, Feldman DL, Khujanazarov T, Madani K, Mirchi A, Placht D, Najib D.   +11 more
europepmc   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Correction: Chemoautotrophic Thermodesulfobacteriota as a key genomic potential group in the hypoxic diazotrophic community of the Changjiang (Yangtze River) estuary. [PDF]

Front Microbiol
Zhang M, Zhu Y, Sun Z, Wang B, Chen J, Zhou F, Zeng J, Li M, Zou D, Jiang Z.   +9 more
europepmc   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

A high-performance onboard computing architecture for autonomous satellite mission planning. [PDF]

Sci Rep
Rao J, Zhao W, Ma M, Xue G, Zhang J, Li S, Zhu Y, An J.   +7 more
europepmc   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source