Results 1 to 10 of about 3,305,344 (308)

A review of physics-based machine learning in civil engineering [PDF]

Results in Engineering, 2022
The recent development of machine learning (ML) and Deep Learning (DL) increases the opportunities in all the sectors. ML is a significant tool that can be applied across many disciplines, but its direct application to civil engineering problems can be ...
Shashank Reddy Vadyala, Sai Nethra Betgeri, John C. Matthews, Elizabeth Matthews   +3 more
doaj   +2 more sources

THE EFFECTIVENESS OF PHYSICS BASED RESEARCH IN LEARNING ENGINEERING PHYSICS

Jurnal Pendidikan IPA Indonesia, 2015
This research aims to know the effect of implementation the research based learning to master properly physics concepts and students’ generic ability. This research used experiment method with pretest-posttest group control design.
Usmeldi -
doaj   +2 more sources

Non-volatile electric-field control of inversion symmetry [PDF]

Nature Materials, 2022
Electric fields typically break symmetry when applied as a stimulus to materials. Here, by forming a superlattice of BiFeO_3 and TbScO_3, it is shown that an electric field can repeatedly stabilize mixed-phase polar and antipolar BiFeO_3.
Lucas Caretta, Y. Shao, Jia Yu, A. B. Mei, Bastien F. Grosso, C. Dai, Piush Behera, Daehun Lee, M. McCarter, E. Parsonnet, Harikrishnan K.P., F. Xue, E. Barnard, S. Ganschow, A. Raja, L. Martin, Long-qing Chen, M. Fiebig, K. Lai, N. Spaldin, D. Muller, D. Schlom, Ramamoorthy Ramesh Department of Materials Science, Engineering, U. O. C. Berkeley, S. Applied, E. Physics, Cornell University, D. Physics, U. T. A. Austin, Department of Materials Science, Department of Materials, Eth Zurich Department of Materials Science, The Pennsylvania State University, Molecular Foundry, Lawrence Berkeley National Laboratory, Leibniz-Institut fur Kristallzuchtung, M. Division, Kavli Institute at Cornell for Nanoscale Science   +38 more
semanticscholar   +1 more source

Quantum machine learning: from physics to software engineering [PDF]

Advances in Physics: X, 2023
Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key approaches that can offer advancements in both the development of quantum ...
A. Melnikov, Mohammad Kordzanganeh, A. Alodjants, R. Lee   +3 more
semanticscholar   +1 more source

Physical properties of the ambient medium and of dense cores in the Perseus star-forming region derived from Herschel Gould Belt Survey observations [PDF]

Astronomy & Astrophysics, 2020
The complex of star-forming regions in Perseus is one of the most studied due to its proximity (about 300 pc). In addition, its regions show variation in star-formation activity and age, with formation of low-mass and intermediate-mass stars.
S. Pezzuto, M. Benedettini, J. D. Francesco, P. Palmeirim, S. Sadavoy, E. Schisano, G. Causi, P. Andr'e, D. Arzoumanian, J. Bernard, S. Bontemps, D. Elia, E. Fiorellino, J. Kirk, V. Konyves, B. Ladjelate, A. Menshchikov, F. Motte, L. Piccotti, N. Schneider, L. Spinoglio, D. Ward-Thompson, C. D. W. I. -. Iaps, Roma, Italy., D. Physics, Astronomy, U. Victoria, Victoria, Canada, Nrc Herzberg Astronomy, Astrophysics, I. D. A. E. C. D. Espaco, U. Porto, Porto, Portugal, E. Physics, Queen's University, Kingston, Laboratoire Aim, C. Saclay, Gif-sur-Yvette, France., U. Toulouse, Toulouse, L. Bordeaux, U. Bordeaux, Cnrs, Pessac, I. Roma, M. Catone, D. Fisica, Universita' di Roma Tor Vergata, E. G. B. Munchen, H Germany, Jeremiah Horrocks Institute, U. C. Lancashire, Preston, UK., U. G. Alpes, Institut de Plan'etologie et d'Astrophysique de Grenoble, Observatorio Astron'omico Ram'on Maria Aller, U. S. D. Compostela, Instituto de Ciencias Matem'aticas, D. D. M. Aplicada, Spain., I. Institut, U. Cologne, M. University, Hamilton Ontario   +69 more
semanticscholar   +1 more source

Editorial

U.Porto Journal of Engineering, 2022
This special issue of University of Porto Journal of Engineering contains selected papers presented at the 4th Symposium on Engineering Physics that took place on the 28th and 29th of June 2021, in the Doctoral Congress in Engineering 2021.
Joana Oliveira, André Pereira, Joana Silva   +2 more
doaj   +1 more source

Effectiveness of Augmented Reality-Based Learning Media for Engineering-Physics Teaching

International Journal of Emerging Technologies in Learning (iJET), 2022
This study aimed to determine the effect of augmented reality-based learning media and cognitive ability as well as their interaction on student learning outcomes in engineering-physics teaching.
S. Sriadhi, A. Hamid, H. Sitompul, R. Restu   +3 more
semanticscholar   +1 more source

INVESTIGATION the SIGNIFICANT REDUCTION IN ENGINEERING APPLICANT

آموزش مهندسی ایران, 2021
Students wishing to study engineering, mathematics and physics at Iranian universities are only graduates of high school mathematics- physics majors. Over the past two decades, there has been a significant reduction in the number of students choosing ...
Parviz Jabehdar Maralani
doaj   +1 more source

Use of Video for Teaching Sports Mechanics

Proceedings, 2020
There is a shortage of young people studying physics and engineering and these professions could benefit from greater diversity. Sports engineering is often used as a tool to change the public perceptions of engineering and sporting examples can be used ...
John Eric Goff, Tom Allen
doaj   +1 more source

ENGINEERING PHYSICS PRACTICALS

, 2022
This book entitled “Engineering Physics Lab Manual” is intended for the use of First year B.E / B.Tech students of Narasu’s Sarathy Institute of Technology, Poosaripatty, Omalur, and Salem.The main objective of the Engineering Physics Lab Manual is to ...
G. M., Srithar A
semanticscholar   +1 more source