Results 91 to 100 of about 5,066,256 (279)

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced 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   +6 more
wiley   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

open access: yesAdvanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter   +10 more
wiley   +1 more source

Student Perceptions of Faculty Mindset

open access: yesJournal of the Scholarship of Teaching and Learning
This study investigates the influence of instructor mindset on student perceptions. Due to the need for increasing science, technology, engineering, and mathematics (STEM) student retention and the issue of underrepresentation of minority groups in STEM ...
Christy Jarrard   +2 more
doaj   +3 more sources

The predictive effect of cultural orientations on Chinese gifted students’ growth mindsets

open access: yesFrontiers in Education
The study examined the predictive effect of cultural orientations on Chinese gifted students’ growth mindsets. This study encompassed 378 gifted students from universities in mainland China.
Huifei Jiang
doaj   +1 more source

Growth Mindset In The Classroom

open access: yes, 2018
Mindsets are our beliefs and thoughts about ability, traits, intelligence and success. A student with a growth mindset thinks that intelligence is malleable whilst a student with a fixed mindset thinks that intelligence is stable. Students with fixed mindsets do not put much effort into learning.
Hatice Uluduz, Ilhan Gunbayi
openaire   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

open access: yesAdvanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling   +15 more
wiley   +1 more source

Teaching Mathematics Through a Growth Mindset 2019 (25th March)

open access: yes, 2019
Studies show the key factors for influencing students’ mathematics performance are teachers' mastery of and passion for the subject. Discover the fun and joy in teaching mathematics and how students' growth mindsets will impact on your classroom ...
Fanshawe, Melissa
core   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced 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

A Mindset márkaépítése

open access: yes, 2018
A záródolgozat témája a pszichológia fogyasztása, megítélése társadalmunkban. Célom annak felmérése volt, hogy napjainkban az emberek hogyan állnak a témához, mennyire tartják elítélendőnek, illetve mennnyire szívesen fordulnak szakemberhez.
Katona, Dóra
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

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