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Related papers: Snowmass2021 Theory Frontier: Theory Meets the Lab

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Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development…

Laymen and sometimes even physicists think of natural sciences, in particular of theoretical and mathematical physics often as subjects, which unfold according to an intrinsic logical pattern, with the limitations being set only by the…

High Energy Physics - Theory · Physics 2009-10-28 B. Schroer

Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in…

Computer Vision and Pattern Recognition · Computer Science 2018-01-09 Xiao Xiang Zhu , Devis Tuia , Lichao Mou , Gui-Song Xia , Liangpei Zhang , Feng Xu , Friedrich Fraundorfer

We review the accomplishments of nuclear theory during the past five years and identify the future challenges and research opportunities. [Final, substantially revised version of the nuclear theory white paper]

Nuclear Theory · Physics 2016-09-08 G. Bertsch , B. Mueller , J. Negele , J. Friar , V. Pandharipande

This paper forms part of a long-term project to put field electron emission (FE) onto a better scientific basis, by seeking reliable quantitative agreement between theory and experiment, especially as regards emission-current values. The…

Applied Physics · Physics 2023-05-24 Richard G. Forbes , Sergey V. Filippov , Anatoly G. Kolosko , Eugeni O. Popov

We introduce the concept of LabLinking: a technology-based interconnection of experimental laboratories across institutions, disciplines, cultures, languages, and time zones - in other words experiments without borders. In particular, we…

Human-Computer Interaction · Computer Science 2021-02-09 Tanja Schultz , Felix Putze , Thorsten Fehr , Moritz Meier , Celeste Mason , Florian Ahrens , Manfred Herrmann

Artificial intelligence and machine learning are reshaping how we approach scientific discovery, not by replacing established methods but by extending what researchers can probe, predict, and design. In this roadmap we provide a…

In the quest to align deep learning with the sciences to address calls for rigor, safety, and interpretability in machine learning systems, this contribution identifies key missing pieces: the stages of hypothesis formulation and testing,…

Machine Learning · Computer Science 2019-04-25 Jessica Zosa Forde , Michela Paganini

Comparisons of the coverage of current and proposed dark matter searches can help us to understand the context in which a discovery of particle dark matter would be made. In some scenarios, a discovery could be reinforced by information…

We summarize the remarkable recent progress in ultra-high energy cosmic ray physics and astronomy enabled by the current generation of cosmic ray observatories. We discuss the primary objectives for future measurements and describe the…

Quantum technologies are poised to move the foundational principles of quantum physics to the forefront of applications. This roadmap identifies some of the key challenges and provides insights on materials innovations underlying a range of…

This is the summary report of the energy frontier QCD working group prepared for Snowmass 2013. We review the status of tools, both theoretical and experimental, for understanding the strong interactions at colliders. We attempt to…

The scientific process is a means to turn the results of experiments into knowledge about the world in which we live. Much research effort has been directed toward automating this process. To do this, one needs to formulate the scientific…

Machine Learning · Statistics 2025-10-14 Brendan van Rooyen

Plots summarizing the constraints on Dark Matter models can help visualize synergies between different searches for the same kind of experiment, as well as between different experiments. In this whitepaper, we present an update to the…

High Energy Physics - Experiment · Physics 2022-05-24 Kevin Black , Tulika Bose , Yuze Chen , Sridhara Dasu , Haoyi Jia , Deborah Pinna , Varun Sharma , Nikhilesh Venkatasubramanian , Carl Vuosalo

Many domains of science have developed complex simulations to describe phenomena of interest. While these simulations provide high-fidelity models, they are poorly suited for inference and lead to challenging inverse problems. We review the…

Machine Learning · Statistics 2022-06-08 Kyle Cranmer , Johann Brehmer , Gilles Louppe

This Snowmass21 Contributed Paper addresses the structural changes that need to occur in the many groups and organizations that intersect with the US particle physics community to enable impactful public engagement to flourish. The impetus…

In this white paper for the Snowmass '21 community planning exercise we provide quantitative prospects for bottom quark mass measurements in high-energy collisions at future colliders that can provide a precise test of the scale evolution,…

User studies are paramount for advancing science. However, researchers face several barriers when performing them despite the existence of supporting tools. In this work, we study how existing tools and their features cope with previously…

Software Engineering · Computer Science 2025-04-14 Lázaro Costa , Susana Barbosa , Jácome Cunha

The last decade has been the decade of nanotechnology, a length scale which is of particular interest since it is here that we see the transition from the classical to the quantum world. In this transition to the quantum regime new…

Instrumentation and Detectors · Physics 2013-09-06 Lindley Winslow

We introduce a benchmark framework developed by and for the scientific community to evaluate, monitor and steer large language model development in fundamental physics. Building on philosophical concepts of scientific understanding and…

Data Analysis, Statistics and Probability · Physics 2025-07-30 Kristian G. Barman , Sascha Caron , Faegheh Hasibi , Eugene Shalugin , Yoris Marcet , Johannes Otte , Henk W. de Regt , Merijn Moody