United States

Exponentially damped oscillatory motion is often encountered early in a physics student&#39;s education. The closed form solution in the case of linear-in-velocity drag makes this an attractive first model, but realistic systems typically include constant- and/or quadratic-in-velocity drag. The equations of motion for non-linear drag can be solved numerically so that data can be fit using more accurate models. A data set is presented and analyzed which students can use to explore topics such as differing models of friction, numerical modeling techniques, and evaluating and quantifying the agreement between a model and data. Code and data are provided for physics instructors&#39; use.

AAPT SM 20

Modeling linear and non-linear drag in horizontal oscillatory motion

fitting

drag

computation

### Welcome to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

Message from the General Chair: 
*It is my great pleasure and honor to welcome you to the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), held in beautiful Vienna, Austria, from July 27 to August 1, 2025. ACL2025continues our field’s tradition of excellence in scholarship, innovation, and inclusivity, and I am deeply grateful to the many volunteers who have worked tirelessly to bring this event to life.* 
[Read more](https://drive.google.com/file/d/1GI_hvOpjswAuYdUTromfeDiPpCcqidwg/view?usp=sharing)

To access this event page, you need to log in with the **email address you registered with**. Access credentials will be sent to your email from Underline - subject line "Welcome to ACL 2025". Please be sure to check your spam email folder if you do not see an email confirmation right away.

Please log in

To access this event page, you need to log in with the **email address you registered with**. 

ACL 2025

Welcome to The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

Exponentially damped oscillatory motion is often encountered early in a physics student's education. The closed form solution in the case of linear-in-velocity drag makes this an attractive first model, but realistic systems typically include constant- and/or quadratic-in-velocity drag. The equations of motion for non-linear drag can be solved numerically so that data can be fit using more accurate models. A data set is presented and analyzed which students can use to explore topics such as differing models of friction, numerical modeling techniques, and evaluating and quantifying the agreement between a model and data. Code and data are provided for physics instructors' use.

poster

The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. The program featured plenary speakers, sessions, workshops and many special activities.

For more information please visit the 2020 AAPT Virtual Summer Meeting page at: https://www.aapt.org/Conferences/SM2020/index.cfm.


The 2020 AAPT Virtual Summer Meeting brought together physics educators from around the globe to learn about the latest in physics theory, research methodology and education from leaders in their field. 

Successes and Challenges in Distance Learning Mechanics Labs

Disentangling student understanding of apparent motions of Sun and stars.

Analogy models in introductory electricity lessons in Austria and Germany

Particle Interactions simplified with a Tripreon model for students.

Guided Problem Solving: Active Learning While Working through Example Problems

How Force Notation Affects the Way Students Say It

Simple epidemiological models are introduced using finite difference methods in Excel. The SIR model explains the initial exponential growth of COVID-19, the effects of social distancing in the US during early April 2020 and successfully predicts the continued spread of the virus during late April and May 2020. The SIR model is the origin of the basic reproduction number R0 and herd immunity. It also predicts what will happen if social distancing is lifted prematurely. A wide range of student research projects are possible for modeling and making predictions based on real data for US states and other countries. See http://circle4.com/biophysics for free sample chapters and videos.

Understanding COVID-19 by modeling it

Radiology practitioners are examined on the underlying radiological physics principles of Photoelectric Absorption and Compton Scatter. Students must understand how these interactions in the patient vary as the x-ray tube acquisition parameters are adjusted. This variation changes the relative tissue contrasts in the radiograph and the detrimental radiation dose to the patient. An interactive Mathematica (1) simulation has been developed which simultaneously shows relative interaction probabilities, patient dose & penetration, and an anthropomorphic chest image. By adjusting the parameters the student can determine an optimal acquisition which minimises patient dose whilst generating sufficient contrast for lesion detection on the radiograph. The simulation instructions lead the student through a series of acquisitions which enable MCQ & SAQ assessments, which have demonstrated enhanced and accelerated comprehension. 1. Mathematica, Wolfram Research Inc., Champain, IL (1989-2020).

Premium content

Downloads

Next from AAPT SM 20

Successes and Challenges in Distance Learning Mechanics Labs

Similar lecture

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation