Results 141 to 150 of about 7,060,757 (314)

KIMI.AR Application for Easier and Interactive Chemistry Learning

Journal of Educational Chemistry
Chemistry is a crucial subject since it covers the structure and makeup of the world around us. However, chemistry is frequently cited as a subject that students dislike.
Elysa Nensy Irawan, Fauzie Salman, Aisyah Aira Putri, Rizky Hamdani Sakti, Tri Seda Mulya, Liptia Venica   +5 more
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Bioplastic from Jackfruit Seed Starch and It Is Potency for Education for Sustainable Development (ESD) in Chemistry Learning

EduChemia
Plastic waste is a severe environmental problem. One solution is with bioplastic from jackfruit seed starch (JS). However, this bioplastic has weaknesses, such as not being heat resistant and having low mechanical properties, so adding chitosan (CH) and ...
Ester Yuliati Cristina Purba, Hernani Hernani, Asep Supriatna   +2 more
doaj   +1 more source

Pre-University Chemistry Inquiry Learning

Educación Química, 2018
(Aprendizaje de la Indagación Química en el nivel preuniversitario): Esta investigación está centrada en el aprendizaje basado en indagación dentro de un ambiente de investigación simulado. El diseño se fundamentó en un marco de seis principios. Una de las actividades de los estudiantes, la revisión por pares, se fundamentó en la teoría de la actividad.
openaire   +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

STREAM Approaches (Science, Technology, Religion, Engineering, Arts, Mathematics) Integrated Halal in Chemistry Learning

Jurnal Pendidikan Sains Universitas Muhammadiyah Semarang
This study examines the development and impact of project-based chemistry learning using a STREAM approach that incorporates halal values through a bibliometric analysis.
Fitri Yati Sa'diah, Tri Wahyu Agustina, Tri Cahyanto, Neneng Windayani   +3 more
doaj   +1 more source

Modeling Dislocation Cutting of γ′ Precipitates in Ni‐Base Superalloys: Linking Atomistic and Dislocation Dynamics Simulations

Advanced Engineering Materials, EarlyView.
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé, Siwen Gao, Marc Fivel, Anxin Ma, Daria Smirnova, Sriram Anand, Arun Prakash, Julien Guénolé, Alexander Hartmaier, Erik Bitzek   +9 more
wiley   +1 more source

Research Trends of Project-Based Learning Model in Chemistry Learning Through Bibliometric Analysis

Indonesian Journal of Educational Research and Review
Chemistry learning has evolved into various interdisciplinary laboratory practicum activities. The Project-Based Learning (PjBL) Model is one of the innovative strategies that can improve students' high-level skills in mastering chemical concepts and ...
Nanda Ayu Lestari, Liliasari, Nisrina Zahira Putri Irawan, Iqbal Musthapa   +3 more
doaj   +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