Results 141 to 150 of about 1,573,388 (253)
An Automatized Simulation Workflow for Powder Pressing Simulations Using SimStack
Advanced Engineering Materials, EarlyView.The implementation of Workflow active Nodes (WaNos) for the convenient execution and automated evaluation of discrete element method calculations of powder pressing is showcased. Purposeful combination of WaNos creates timesaving and resource‐effective computational workflows.
Bjoern Mieller +2 more
wiley +1 more source
QCD Physics Lessons of Z0 Decay [PDF]
, 1995 This talk contains a subjective selection of interesting results on Z$^0$ decays, presented by the LEP and SLC groups. The emphasis is on soft and semihard QCD physics. Results are put in a theoretical context, and the limits of our current understanding
Sjostrand, Torbjorn
core +2 more sources
, 2000 The detection of the theoretically expected dark matter is central to particle physics and cosmology. Current fashionable supersymmetric models provide a natural dark matter candidate which is the lightest supersymmetric particle (LSP).
A. Bottino +82 more
core +3 more sources
Advanced Engineering Materials, EarlyView.Multilayer ferrite inductor prototypes are fabricated by cofiring metallized tapes of NiCuZn ferrite and glass‐ceramic composite. Prerequisites for a predictive component simulation are discussed. An automated data‐pipeline stores and semantically links the experimental data acquired in the study according to a domain ontology.
Björn Mieller +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein +44 more
wiley +1 more source
European Physical Journal C: Particles and FieldsProperties of the underlying-event in pp interactions are investigated primarily via the strange hadrons $$K_{S}^{0}$$ K S 0 , $$\Lambda $$ Λ and $$\bar{\Lambda }$$ Λ ¯ , as reconstructed using the ATLAS detector at the LHC in minimum-bias pp collision ...
ATLAS Collaboration
doaj +1 more source
Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC
Physics Letters B, 2020 The top-Higgs coupling plays an important role in particle physics and cosmology. The precision measurements of this coupling can provide an insight to new physics beyond the Standard Model. In this paper, we propose to use Message Passing Neural Network
Jie Ren, Lei Wu, Jin Min Yang
doaj
Event by event fluctuations of the source shape: implications for the Levy shape, and Event Shape Sorting [PDF]
arXiv, 2018 In the first part of this contribution we show that the Levy stable shape of the correlation function can be caused by averaging of the measured correlation functions over a large number of events. In the second part it is demonstrated how a sample of events sorted by Event Shape Sorting technique exhibits different azimuthal dependence of correlation ...
arxiv
Advanced Engineering Materials, EarlyView.The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch +4 more
wiley +1 more source
(Machine) learning to do more with less
Journal of High Energy Physics, 2018 Determining the best method for training a machine learning algorithm is critical to maximizing its ability to classify data. In this paper, we compare the standard “fully supervised” approach (which relies on knowledge of event-by-event truth-level ...
Timothy Cohen +2 more
doaj +1 more source