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Articles making an impact in Physical Science

Browse specially curated selections of high-impact research from the physical science journals published by Oxford University Press. The collections feature a mixture of:

The most read articles published in the first half of 2022.

Untapped research sections containing articles selected by Editors-in-Chief as worthy of more attention from the research community.

And most read, most cited and most discussed articles published in 2020 and 2021.

All articles are freely available for you to read, download, and enjoy. 

Oxford Open Materials Science publishes high-impact, novel research and reviews across the spectrum of the materials sciences and materials engineering encompassing theoretical/computational modelling, characteristic studies, synthesis, design, and application.

Progress of Theoretical and Experimental Physics  publishes in the field of theoretical and experimental physics, including particles and fields, nuclear physics, astrophysics and cosmology, beam physics and instrumentation, and general and mathematical physics.

National Science Review reports cutting-edge developments across all areas of the natural sciences, including physics, mathematics, chemistry, life sciences, earth sciences, materials science, and information sciences.

Radiation Protection Dosimetry  publishes peer-reviewed papers covering all aspects of personal and environmental dosimetry and monitoring for both ionising and non-ionising radiations.

Regenerative Biomaterials provides a forum for cutting-edge original research papers, reviews, clinical case reports, commentaries, and perspectives on topics relevant to the development of advanced regenerative biomaterials.

Transportation Safety and Environment  is an open access, online only journal publishing cutting-edge and innovative research on various transportation systems and their operating environments.

Journal of Mechanics  publishes original research in all fields of theoretical and applied solid/fluid mechanics and is an international forum for the exchange of ideas among mechanics communities globally.

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Showing 1 - 13 of 105,216

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Investigation of the biocompatibility of various pulp capping materials on zebrafish model

Meltem Karahan, Bahar Basak Kiziltan Eliacik,  [ ... ], Gunes Ozhan

DBDAA: A real-time approach to Dynamic Banker’s Deadlock Avoidance Algorithm with optimized time complexity

Most. Fatematuz Zohora, Fahiba Farhin, M. Shamim Kaiser

Distilling knowledge from multiple foundation models for zero-shot image classification

Siqi Yin, Lifan Jiang

Establishment of methanogen bacterial interactions during the preweaning period of dairy cattle

Nagaraju Indugu, Kapil S. Narayan, Meagan L. Hennessy, Dipti Pitta

The association between short-term temperature variability and mortality in Virginia

Melanie M. Pane, Robert E. Davis

Information sharing and channel encroachment in biomass supply chains

Xin Wu, Peng Liu,  [ ... ], Guangyin Xu

Optimization based data enrichment using stochastic dynamical system models

Griffin M. Kearney, Makan Fardad

Scaffolding learning: From specific to generic with large language models

David S. Yin, Xiaoxin Yin

Trends and disparities in alcohol-DWI license suspensions by suspension duration, North Carolina, 2007–2016

Bhavna Singichetti, Yudan Chen Wang,  [ ... ], Rebecca B. Naumann

Morphological multiparameter filtration and persistent homology in mitochondrial image analysis

Yu-Min Chung, Chuan-Shen Hu, Emily Sun, Henry C. Tseng

Robotic dog for navigation of a rehabilitation wheelchair robot in a highly constrained environment

Bibhya Sharma

Fritillariae thunbergii bulbus">Transcriptomic analysis reveals effects of fertilization towards growth and quality of Fritillariae thunbergii bulbus

Luman Huang, Shuang Liang,  [ ... ], Zhuoheng Zhong

In vitro atomization analysis and evaluation of inhalable sodium sivelestat formulations

Rangdong Liu, Aifang He,  [ ... ], Hui Cao

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PRL ON THE COVER

Effects of colliding laser pulses polarization on e − e + cascade development in extreme focusing, september 18, 2024.

Trajectories of electrons in interaction with colliding high-intensity laser pulses.

M. Jirka and S. V. Bulanov Phys. Rev. Lett. 133 , 125001 (2024)

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RMP ON THE COVER

Ultimate rayleigh-bénard turbulence, august 6, 2024.

Rayleigh-Bénard convection is the flow in a closed box heated from below and cooled from above. The ultimate regime of Rayleigh-Bénard turbulence occurs when the dimensionless temperature difference between the bottom and top plates is large.

Detlef Lohse and Olga Shishkina Rev. Mod. Phys. 96 , 035001 (2024)

• Issue 3 Table of Contents

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Aps and astrobites announce partnership, october 25, 2023.

The American Physical Society (APS) is pleased to announce that it will begin sponsoring Astrobites , a daily astrophysical literature journal written by graduate students in astronomy. This mutually beneficial collaboration aims to enhance the dissemination of research, educational resources, and career insights in the field of astronomy and astrophysics.

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Science News

A neutrino mass mismatch could shake cosmology’s foundations

Cosmological data suggest unexpected masses for neutrinos, including the possibility of zero or negative mass.

The Large Hadron Collider exposes quarks’ quantum entanglement

How to spot tiny black holes that might pass through the solar system 

More stories in physics.

A quantum computer corrected its own errors, improving its calculations 

The corrected calculation had an error rate about a tenth of one done without quantum error correction.

50 years ago, some of plastic’s toxic hazards were exposed

Worker exposure to vinyl chloride became tightly regulated after the chemical was linked with liver cancer. Now, its use may be on the chopping block.

A nuclear clock prototype hints at ultraprecise timekeeping 

Nuclear clocks could rival atomic clocks and allow for new tests of fundamental physics. A new experiment demonstrates all the ingredients needed.

Mayo is weirdly great for understanding nuclear fusion experiments

Mayonnaise’s texture is perfect for mimicking what a fusion fuel capsule goes through after it’s blasted with lasers.

The possibilities for dark matter have just shrunk — by a lot 

The LZ dark matter experiment has ruled out weakly interacting massive particles, or WIMPs, with a wide range of properties.

The world’s fastest microscope makes its debut

Using a laser and an electron beam, the microscope can snap images of moving electrons every 625 quintillionths of a second.

Zigzag walls could help buildings beat the heat

A corrugated exterior wall reflects heat to space and absorbs less heat from the ground, keeping it several degrees cooler than a flat wall.

Paper cut physics pinpoints the most hazardous types of paper

Dot matrix printer paper is the most treacherous, physicists report. Magazine paper comes in second.

Dark matter experiments get a first peek at the ‘neutrino fog’ 

The hint of fog marks a new way to observe neutrinos, but points to the beginning of the end for this type of dark matter detection.

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Which topics in the Physical Sciences generated the most attention from readers in 2020?

In 2020, Annual Reviews published 15 review journals in the Physical Sciences. The following list represents highly downloaded articles across the Physical Sciences volumes published during the year.

Return to Most Read Articles in 2020 Collection

Superconducting Qubits: Current State of Play

Morten Kjaergaard , Mollie E. Schwartz , Jochen Braumüller , Philip Krantz , Joel I.-J. Wang , Simon Gustavsson , and William D. Oliver , Annual Review of Condensed Matter Physics

Machine Learning for Molecular Simulation

Frank Noé , Alexandre Tkatchenko , Klaus-Robert Müller , and Cecilia Clementi , Annual Review of Physical Chemistry

Sustainability Science: Toward a Synthesis

William C. Clark and Alicia G. Harley , Annual Review of Environment and Resources

The Impacts of Ocean Acidification on Marine Ecosystems and Reliant Human Communities

Scott C. Doney , D. Shallin Busch , Sarah R. Cooley , and Kristy J. Kroeker , Annual Review of Environment and Resources

Physical Principles Underlying the Complex Biology of Intracellular Phase Transitions

Jeong-Mo Choi , Alex S. Holehouse , and Rohit V. Pappu , Annual Review of Biophysics

Learning-Based Model Predictive Control: Toward Safe Learning in Control

Lukas Hewing , Kim P. Wabersich , Marcel Menner , and Melanie N. Zeilinger , Annual Review of Control, Robotics, and Autonomous Systems

The Boundaries of the Planetary Boundary Framework: A Critical Appraisal of Approaches to Define a “Safe Operating Space” for Humanity

Frank Biermann and Rakhyun E. Kim , Annual Review of Environment and Resources

Aeroacoustics of Silent Owl Flight

Justin W. Jaworski and N. Peake , Annual Review of Fluid Mechanics

Biomolecular Phase Separation: From Molecular Driving Forces to Macroscopic Properties

Gregory L. Dignon , Robert B. Best and Jeetain Mittal , Annual Review of Physical Chemistry

Climate-Driven Shifts in Marine Species Ranges: Scaling from Organisms to Communities

Malin L. Pinsky , Rebecca L. Selden , and Zoë J. Kitchel , Annual Review of Marine Science

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Physics news

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Even the heaviest particles experience the usual quantum weirdness, new experiment shows

One of the most surprising predictions of physics is entanglement, a phenomenon where objects can be some distance apart but still linked together. The best-known examples of entanglement involve tiny chunks of light (photons), ...

Quantum Physics

15 hours ago

Physicist reveals tailwind has negligible effect on cycling speed

Within the cycling realm, "to Everest" involves riding up and down the same mountain until your ascents total the elevation of Mt. Everest—8,848 meters.

General Physics

Sep 20, 2024

Scientists propose a new method to search for dark matter using LIGO

A new study published in Physical Review Letters (PRL) proposes using gravitational wave detectors like LIGO to search for scalar field dark matter.

Preparing the LHC and its injector complex for the 2024 lead-ion run

In the early morning of 13 September, the LHC reached a significant milestone, surpassing 100 fb-1 of integrated luminosity delivered to ATLAS and CMS in a single year—a record—and the figure is still rising. Then, LHCb's ...

Findings hint at a superfluid phase in ²⁹F and ²⁸O

Data collected by the SAMURAI spectrometer at RIKEN's RI Beam Factory (RIBF) in Japan recently led to the detection of a rare fluorine (F) isotope, known as 30F. This has opened interesting possibilities for the study of ...

Sep 19, 2024

New material with wavy layers of atoms exhibits unusual superconducting properties

MIT physicists and colleagues have created a new material with unusual superconducting and metallic properties, thanks to wavy layers of atoms only billionths of a meter thick that repeat themselves over and over to create ...

Condensed Matter

Mysteries of the bizarre 'pseudogap' in quantum physics finally untangled

By cleverly applying a computational technique, scientists have made a breakthrough in understanding the "pseudogap," a long-standing puzzle in quantum physics with close ties to superconductivity. The discovery, presented ...

Superconductivity

Researchers build AI model database to find new alloys for nuclear fusion facilities

A study led by the Department of Energy's Oak Ridge National Laboratory details how artificial intelligence researchers have created an AI model to help identify new alloys used as shielding for housing fusion applications ...

Topological quantum computers a step closer with new method to 'split' electrons

The topological quantum computer still exists only in theory but, if possible, would be the most stable and powerful computing machine in the world. However, it requires a special type of qubit (quantum bit) that has yet ...

Were Bohr and von Neumann really in conflict over quantum measurements?

Analysis suggests that the two pioneers of quantum mechanics, Niels Bohr and John von Neumann, may have had more similar views than previously thought regarding the nature of quantum systems, and the classical apparatus used ...

Researchers improve tunability in optical differentiation

A new technique may make it easier for researchers to create real-time images of microscopic samples by considering the waves that propagate through sample surfaces as light interacts with them.

Optics & Photonics

Ocean waves grow way beyond known limits, new research finds

Scientists have discovered that ocean waves may become far more extreme and complex than previously imagined.

Sep 18, 2024

LHC experiments observe quantum entanglement at the highest energy yet

Quantum entanglement is a fascinating feature of quantum physics—the theory of the very small. If two particles are quantum-entangled, the state of one particle is tied to that of the other, no matter how far apart the ...

Tracking plasma progression in a picosecond: Physicists develop ultra-fast laser method to study high-density plasmas

In a few picoseconds (trillionths of a second), a small, thin piece of copper momentarily becomes dense plasma, specifically a state called warm dense matter, warm being a relative term—the metal is nearly 200,000 degrees ...

Plasma Physics

Antiferromagnetic spintronics advance opens door to next-gen electronics

University of Nebraska–Lincoln researchers have achieved a breakthrough in antiferromagnetic spintronics, a development that could expand the nanotechnology's capabilities, which have been limited by their need for excessive ...

Physicists reveal evolution of shell structure using machine learning

A research team has used a machine learning approach to investigate the evolution of shell structure for nuclei far from the stability valley. The study, published in Physics Letters B and conducted by researchers from the ...

Researchers simplify design of optical atomic clocks without compromising performance

Researchers have demonstrated a new optical atomic clock that uses a single laser and doesn't require cryogenic temperatures. By greatly reducing the size and complexity of atomic clocks without sacrificing accuracy and stability, ...

Different qubit architecture could enable easier manufacturing of quantum computer building blocks

Scientists from the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have shown that a type of qubit whose architecture is more amenable to mass production can perform comparably to qubits currently dominating ...

Neutron scientists wake a sleeping giant after nine-month nap and makeover

What's the best way to wake a giant after a long nap? "Very carefully, and with a lot of planning," said a grinning John Galambos. He was the project director for the Proton Power Upgrade project, or PPU, at Oak Ridge National ...

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• Frontiers in Sports and Active Living
• Sports Science, Technology and Engineering
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Harnessing Artificial Intelligence in Sports Science: Enhancing Performance, Health, and Education

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About this Research Topic

The convergence of technology and innovation in sports science has ignited a revolutionary shift driven by Artificial Intelligence (AI). AI algorithms, capable of analyzing vast amounts of data, identifying patterns, and generating automated predictions, are transforming sports performance, health, and physical education across various applications. AI-driven algorithms are revolutionizing performance analysis by providing detailed insights into athlete performance. Modern data analytics enable coaches and analysts to interpret complex patterns in athletes' movements, tactics, and physiological responses during practice and competition. This level of detail facilitates personalized training plans, strategic adjustments, and optimized performance outcomes. In sports medicine, machine learning (ML) and deep learning (DL) accelerate diagnosis, treatment, and rehabilitation. These algorithms analyze biomechanical data, genetic predispositions, and injury history to minimize risk and enhance recovery through tailored treatment programs. AI-driven predictive models also forecast injury likelihood, enabling preventative measures to safeguard athletes' health and longevity. AI is significantly advancing mental health management for athletes as well. Wearable technologies equipped with ML and DL algorithms monitor vital signs, assess physical activity levels, and provide feedback on performance metrics. This data allows teachers and coaches to track student and athlete progress, identify areas for improvement, and promote healthy lifestyle practices. AI-powered gamification tools further enhance engagement and enjoyment in physical education by introducing interactive elements like leaderboards, rewards, and challenges. This Research Topic aims to explore the transformative impact of AI on sports science, encompassing performance analysis, sports medicine, and physical education. By collecting interdisciplinary contributions, we seek to enhance knowledge and practices in these domains for improved athlete care and performance optimization. We welcome original research articles, systematic reviews, meta-analyses, case studies, and methodological papers focused on, but not limited to, the following areas: 1. AI in Performance Analysis: o AI-driven insights into athlete performance and biomechanics. o Development and implementation of personalized training programs. o Tactical adjustments and performance optimization through data analytics. 2. AI in Sports Medicine: o Applications of ML and DL in injury diagnosis and rehabilitation. o AI-driven predictive models for injury prevention. o Tailored treatment programs based on biomechanical and genetic data. 3. AI in Physical Education: o Wearable technology and AI for monitoring physical activity and performance metrics. o Use of AI to assess and enhance students' progress and health. o Gamification tools to increase engagement and motivation in physical education. 4. Mental Health and Wellbeing: o AI applications for monitoring and improving athletes' mental health. o Integration of AI tools for holistic health management. o Case studies on AI-driven mental health interventions in sports. 5. Ethical and Practical Considerations: o Ethical implications of AI in sports science. o Challenges and limitations in implementing AI technologies. o Future perspectives and innovations in AI for sports science.

Keywords : Performance, Health, Education, Sports, Artificial Intelligence, Machine Learning, Deep Learning

Important Note : All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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