Results 11 to 20 of about 8,710,850 (247)
Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
Archives of Computational Methods in Engineering, 2023 Symbolic regression (SR) is a machine learning-based regression method based on genetic programming principles that integrates techniques and processes from heterogeneous scientific fields and is capable of providing analytical equations purely from data.
D. Angelis, F. Sofos, T. Karakasidis
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Didactic Handout on Nature of Science: Toward Effective Teaching of Physical Science Curriculum
Science Education International, 2022 The decision to integrate Nature of Science into classroom practice is no longer a debate among science educators and curriculum experts. There exists empirical evidence to substantiate its effectiveness, judging by both the academic performance and ...
Olalekan Taofeek Badmus +1 more
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Knowledge Management & E-Learning: An International Journal, 2023 This research is part of the integration of information and communication technologies (ICT) in the Moroccan education system, our objective being to evaluate the use of computer-assisted experimentation (CAEx) in learning to encourage the authorities of
Adil Hamamous, Nadia Benjelloun
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Machine learning and the physical sciences [PDF]
Reviews of Modern Physics, 2019 Machine learning (ML) encompasses a broad range of algorithms and modeling tools used for a vast array of data processing tasks, which has entered most scientific disciplines in recent years. This article reviews in a selective way the recent research on
Giuseppe Carleo +7 more
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Photodynamics of quantum emitters in hexagonal boron nitride revealed by low-temperature spectroscopy [PDF]
, 2017 Quantum emitters in hexagonal boron nitride (hBN) have recently emerged as promising bright single photon sources. In this letter we investigate in details their optical properties at cryogenic temperatures. In particular, we perform temperature resolved
B. Sontheimer +14 more
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Narrowband quantum emitters over large spectral range with Fourier-limited linewidth in hexagonal boron nitride [PDF]
, 2017 A. Dietrich, M. Bürk, E. S. Steiger, L. Antoniuk, T. T. Tran, M. Nguyen, I. Aharonovich, F. Jelezko, A. Kubanek 1 Institute for Quantum Optics, Ulm University,D-89081 Ulm, Germany School of Mathematical and Physical Sciences, University of Technology ...
A. Dietrich +14 more
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Education Sciences, 2023 The aim of the current study is to examine how preschool children overcome their difficulties regarding thermal expansion and contraction and construct in their minds a precursor model; that is, an entity compatible with school knowledge.
Paraskevi Charalampopoulou +3 more
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Preschool Children Science Mental Representations: The Sound in Space
Education Sciences, 2021 The aim of the current study was to examine the way in which preschool children deal with the concept of sound. For this purpose, a study was carried out in the context of detecting and categorizing the mental representations among young children of ...
Konstantinos Ravanis +2 more
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Towards a theory of emergence for the physical sciences [PDF]
European Journal for Philosophy of Science, 2019 I begin to develop a framework for emergence in the physical sciences. Namely, I propose to explicate ontological emergence in terms of the notion of ‘novel reference’, and of an account of interpretation as a map from theory to world.
Sebastian De Haro
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South African Journal of Education, 2023 The aim with this study was to analyse and explore how physical sciences, engineering science and technology subjects (technical electrical technology, technical civil technology, technical mechanical technology) can contribute to the alignment of the ...
Mabel Julia Moloi +1 more
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