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Recruiting and retaining highly qualified physics and physical science teachers is critical for maintaining America's global competitiveness. Unfortunately, only one third of the high school teachers in physics have a degree in physics and…

Physics Education · Physics 2016-03-10 Chandralekha Singh , Laura Moin , Christian Schunn

Machine learning interatomic potentials (MLIPs) are revolutionizing the field of molecular dynamics (MD) simulations. Recent MLIPs have tended towards more complex architectures trained on larger datasets. The resulting increase in…

Providing high-quality professional development for teachers with diverse backgrounds and classroom experience is a challenging task. In this work, we investigate the Illinois Physics and Secondary Schools (IPaSS) partnership program, which…

Physics Education · Physics 2023-10-18 Hamideh Talafian , Morten Lundsgaard , Maggie Mahmood , Devyn Shafer , Tim Stelzer , Eric Kuo

We present two programs that address needs to better prepare graduate students for their roles as professional physicists, particularly in the areas of teaching and education research. The two programs, Preparing Future Physicists (PFP) and…

Physics Education · Physics 2007-05-23 Edward Price , Noah Finkelstein

A difficult challenge in physics education is to design professional development programs for teachers, which can lead to fundamental changes in their practise. We report all activities for physics teachers in the context of the National…

Machine learned interaction potentials (MLIPs) have become a critical component of large-scale, high-quality simulations for a range of chemical and biochemical systems. Yet, despite their in-distribution accuracy, molecular dynamics…

Chemical Physics · Physics 2026-04-09 Eric C. -Y. Yuan , Teresa Head-Gordon

Physics-informed machine learning (PIML), referring to the combination of prior knowledge of physics, which is the high level abstraction of natural phenomenons and human behaviours in the long history, with data-driven machine learning…

Machine Learning · Computer Science 2022-04-01 Chuizheng Meng , Sungyong Seo , Defu Cao , Sam Griesemer , Yan Liu

Machine learned interatomic potentials (MLIPs) have emerged as powerful tools for molecular dynamics (MD) simulations with their competitive accuracy and computational efficiency. However, MLIPs are often observed to exhibit un-physical…

Materials Science · Physics 2026-02-24 Qianyu Zheng , Victor Fung

Southeastern European countries undergo significant changes in the demand/supply ratio on the labour market and in the structure of professional competences that are necessary for undertaking a professional activity. In addition,…

Physics Education · Physics 2015-05-14 R. Constantinescu , G. S. Djordjevic

Machine learning plays an increasingly important role in computational chemistry and materials science, complementing computationally intensive ab initio and first-principles methods. Despite their utility, machine-learning models often…

Chemical Physics · Physics 2025-05-06 Makoto Takamoto , Viktor Zaverkin , Mathias Niepert

Recent years have seen a growing interest in modernizing physics and science curricula around the world. While many science educators and curriculum developers design instructional resources to successfully introduce topics of Einsteinian…

Among the upgrades in current high energy physics (HEP) experiments and the new facilities coming online, solving software challenges has become integral for the success of the collaborations, The demand for human resources highly-skilled…

Physics Education · Physics 2023-03-01 Michel H. Villanueva , Sudhir Malik , Meirin Oan Evans

The objective of this project is to compare the effectiveness of teaching styles used in high school physics classes and the methods used to assess them. We would like to determine those approaches to physics at the high schools that work…

Physics Education · Physics 2013-05-21 Gordon P. Ramsey , Melissa M. Nemeth , David Haberkorn

Students with disabilities are enrolling in postsecondary education in increasing numbers and in science, technology, engineering, and mathematics (STEM) at steady rates since the early 1990s. Specifically, in 2014, the National Center on…

Physics Education · Physics 2024-06-19 Amanda Lannan , Erin Scanlon , Jacquelyn J. Chini

Our main goal is to develop plans to increase physics enrollment. Once again we thoroughly analyze the problem from the beginning and reach the conclusion that the most appropriate starting point in this direction should be to look into…

Physics and Society · Physics 2007-05-23 Samina S. Masood

The need for highly qualified physics teachers in the U.S. is well established, and reform efforts are underway to develop novel and innovative teacher professional development experiences to improve the quality of K-12 physics education.…

Physics Education · Physics 2018-12-09 Mike Ross , Ben Van Dusen , Samson Sherman , Valerie Otero

While it is well known which curricular practices can improve student performance on measures of conceptual understanding, the sustaining of these practices and the role of faculty members in implementing these practices are less well…

Physics Education · Physics 2009-11-13 Steven J. Pollock , Noah D. Finkelstein

The Young Physicists' Tournament (YPT) inspires high-school students to immerse themselves into an inquiry process closely resembling the real physics research. Using questionnaires' replies from the students and their teachers engaged in…

The gap between theory and practice is well-documented in educational research. Physics teachers' willingness to apply research findings in practice may be influenced by a sceptical attitude towards science education research. This study…

Physics Education · Physics 2025-09-30 Melissa Costan , Kasim Costan , Anna Weißbach , Christoph Kulgemeyer
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