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Humans can leverage physical interaction to teach robot arms. This physical interaction takes multiple forms depending on the task, the user, and what the robot has learned so far. State-of-the-art approaches focus on learning from a single…

Robotics · Computer Science 2024-01-11 Shaunak A. Mehta , Dylan P. Losey

Drawable electronics attract the attention of both educators and innovative circuit engineers due to their affordability and simplicity. This paper focuses on active learning activities related to conducting lines and presents extensible…

Physics Education · Physics 2021-07-29 Petar Damjanović , Vladimir Veljić , Aleksandra Alorić

A primary goal of physics is to create mathematical models that allow both predictions and explanations of physical phenomena. We weave maths extensively into our physics instruction beginning in high school, and the level and complexity of…

Physics Education · Physics 2016-04-12 Edward F. Redish

Semiclassical electrodynamics is an appealing approach for studying light-matter interactions, especially for realistic molecular systems. However, there is no unique semiclassical scheme. On the one hand, intermolecular interactions can be…

Chemical Physics · Physics 2019-12-16 Tao E. Li , Hsing-Ta Chen , Abraham Nitzan , Joseph E. Subotnik

Instructors in introductory physics courses often use labs and demonstrations to reinforce that the physics equations introduced in lectures and textbooks describe what actually happens in the real world. The surface features and…

Physics Education · Physics 2019-06-03 Emily M. Smith , N. G. Holmes

Presenting systems of differential equations in the form of diagrams has become common in certain parts of physics, especially electromagnetism and computational physics. In this work, we aim to put such use of diagrams on a firm…

Mathematical Physics · Physics 2022-06-20 Evan Patterson , Andrew Baas , Timothy Hosgood , James Fairbanks

In the presence of strong electronic spin correlations, the hyperfine interaction imparts long-range coupling between nuclear spins. Efficient protocols for the extraction of such complex information about electron correlations via magnetic…

Disordered Systems and Neural Networks · Physics 2023-05-10 Anantha Rao , Stephen Carr , Charles Snider , D. E. Feldman , Chandrasekhar Ramanathan , V. F. Mitrović

As research-based self-paced e-learning tools become increasingly available, a critical issue educators encounter is implementing strategies to ensure that all students engage with them as intended. Here, we discuss the effectiveness of…

Physics Education · Physics 2016-06-03 Seth DeVore , Emily Marshman , Chandralekha Singh

A phenomenological theory to describe the electromagnetic properties of granular superconductors, based on known bulk superconductors expressions and conventional Josephson's junctions tunneling currents, is presented and succesfully used…

Superconductivity · Physics 2007-05-23 A. Kunold , M. Hernandez , A. Myszkowki , J. L. Cardoso , P. Pereyra

Compared to rigid robots that are generally studied in reinforcement learning, the physical characteristics of some sophisticated robots such as soft or continuum robots are higher complicated. Moreover, recent reinforcement learning…

Robotics · Computer Science 2020-10-05 Junjia Liu , Jiaying Shou , Zhuang Fu , Hangfei Zhou , Rongli Xie , Jun Zhang , Jian Fei , Yanna Zhao

We have created a simple, portable, low-cost setup allowing the students and teachers to experiment with and discuss electromagnetic induction in a safe way, using low currents. The simplicity and portability make these activities well…

Physics Education · Physics 2025-01-07 Santiago Ortuno-Molina , Rod Milbrandt , Juan C. Castro-Palacio , Juan A. Monsoriu

In this work, we describe strategies and provide case-study activities that can be used to examine the properties of superposition, entanglement, tagging, complementarity, and measurement in quantum curricula geared for teacher training.…

Physics Education · Physics 2023-05-24 J. K. Freericks

The combination of theory and simulation is necessary in the investigation of properties of complex systems where each method alone cannot do the task properly. Theory needs simulation to test ideas and to check approximations. Simulation…

Statistical Mechanics · Physics 2015-06-17 Hung T. Diep , Virgile Bocchetti , Danh-Tai Hoang , V. Thanh Ngo

This paper reports the use of Tracker as a pedagogical tool in the effective learning and teaching of projectile motion in physics. When computer model building learning processes is supported and driven by video analysis data, this free…

Physics Education · Physics 2015-12-25 Loo Kang Wee , Charles Chew , Giam Hwee Goh , Samuel Tan , Tat Leong Lee

In order to describe natural phenomena, science develops sophisticated models that use mathematical and formal languages which seem, and often are, very far from common experience. When a phenomenon is not accessible to our senses, its…

Physics Education · Physics 2016-01-08 Vera Montalbano

Quantum mechanics is difficult to learn because it is counterintuitive, hard to visualize, mathematically challenging, and abstract. The Physics Education Technology (PhET) Project, known for its interactive computer simulations for…

Physics Education · Physics 2009-11-13 S. B. McKagan , K. K. Perkins , M. Dubson , C. Malley , S. Reid , R. LeMaster , C. E. Wieman

Learning from demonstration methods usually leverage close to optimal demonstrations to accelerate training. By contrast, when demonstrating a task, human teachers deviate from optimal demonstrations and pedagogically modify their behavior…

Machine Learning · Computer Science 2023-09-28 Hugo Caselles-Dupré , Olivier Sigaud , Mohamed Chetouani

Atom-by-atom assembly of functional materials and devices is perceived as one of the ultimate targets of nanoscience and nanotechnology. While traditionally implemented via scanning probe microscopy techniques, recently it has been shown…

Mesoscale and Nanoscale Physics · Physics 2022-01-05 Rama K. Vasudevan , Ayana Ghosh , Maxim Ziatdinov , Sergei V. Kalinin

The reliable prediction of the temporal behavior of complex systems is key in numerous scientific fields. This strong interest is however hindered by modeling issues: often, the governing equations describing the physics of the system under…

Machine Learning · Computer Science 2023-05-29 Alessandro Bucci , Onofrio Semeraro , Alexandre Allauzen , Sergio Chibbaro , Lionel Mathelin

In this work, we present the Electric Motor simulator, an application on the SimuF\'isica platform intended for use in the classroom. We briefly describe the technologies behind the application, the equations that govern its operation, some…

Physics Education · Physics 2023-06-19 Marco P. M. de Souza , Sidnei P. Oliveira , Valdenice L. Luiz
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