Results 131 to 140 of about 8,869,470 (264)

A decade of research contributions and emerging trends in the International Journal of STEM Education [Elektronisk resurs]

In this editorial, we review 400 articles and reviews published in the International Journal of STEM Education during its first decade (2014-2023). Using bibliometric analysis, we examine these publications to assess the journal's major contributions to ...
Li, Yeping,, Koretsky, Milo D.,, Li, Yeping, Hallström, Jonas,, Hallström, Jonas, Ding, Meixia, Ding, Meixia,, Chiu, Thomas K. F.,, Chiu, Thomas K. F., Koretsky, Milo D.   +9 more
core   +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

Empowering Women and Girls in Science by Integrating Humanities Perspectives into STEM Education

Shodh Sari
This paper examines the integration of humanities perspectives into STEM education as a means of empowering women and girls and addressing persistent gender inequities.
Roshan Jameer MD, Dr. Shagufta Parween, V Temuzion Kumuja   +2 more
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Applying active learning to work with time series predictions

Frontiers in Education
This study examines whether active learning activities based on time series forecasting for engineering students yield statistically significant improvements with respect to performance and engagement.
Pedro Juan Roig, Salvador Alcaraz, Katja Gilly, Cristina Bernad, Carlos Juiz   +4 more
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Humanizing STEM Education Amidst Environmental Crises: A Case Study of a Rural Hispanic-Serving Institution (HSI) in New Mexico

This study investigates how a rural Hispanic-Serving Institution (HSI) in New Mexico created and maintained a humanizing STEM educational environment amidst repeated and overlapping natural disasters between 2020 and 2024.
Sarah Corey-Rivas, Deryl K. Hatch-Tocaimaza, Justine Garcia, Elvira J. Abrica   +3 more
core   +1 more source

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

STEM Storytime: Integrating STEM and Literacy in Early Childhood

This paper addresses the call for greater integration of science, technology, engineering, and mathematics (STEM) in the context of creating a foundational focus for STEM, beginning in early childhood.
Daryl B. Greenfield, Kenyon Page
core   +1 more source