Results 51 to 60 of about 2,544,042 (295)

Macro-microscopic Calculation of Five-dimensional Potential Energy Surface for 234U Fission

Yuanzineng kexue jishu, 2022
A key question about the fission process of a heavy nucleus is to probe the nuclear potential energy landscape and its evolution from the single groundstate compound nucleus over the top of the fission barrier and further to the scission point, finally ...
ZHU Xin;WANG Zhiming;LUO Changkai;NI Lei;ZHONG Chunlai;FAN Tieshuan
doaj  

Dynamic Neural Fields with Intrinsic Plasticity

Frontiers in Computational Neuroscience, 2017
Dynamic neural fields (DNFs) are dynamical systems models that approximate the activity of large, homogeneous, and recurrently connected neural networks based on a mean field approach.
Claudius Strub, Claudius Strub, Gregor Schöner, Florentin Wörgötter, Yulia Sandamirskaya   +4 more
doaj   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

Associated production of a Z boson and a b-jet in ATLAS [PDF]

, 2007
The current uncertainty on the parametrization of the partonic content of the proton (PDF's) affects the potential for the discovery of new physics at LHC.
Diglio, S., Farilla, A., Tonazzo, A., Verducci, M.   +3 more
core   +1 more source

Applications of Parametric Searching in Geometric Optimization

Journal of Algorithms, 1994
Summary: We present several applications in computational geometry of Megiddo's parametric searching technique. These applications include: (1) finding the minimum Hausdorff distance in the Euclidean metric between two polygonal regions under translation; (2) computing the biggest line segment that can be placed inside a simple polygon; (3) computing ...
Agarwal, Pankaj K., Sharir, Micha, Toledo, Sivan   +2 more
openaire   +2 more sources

Impact of Lattice Heterogeneity on Broadband Optical Retardation in Stacked 2D Perovskite Single Crystals

Advanced Functional Materials, EarlyView.
It is shown that interfaces between organic and inorganic layers govern long‐range stacking disorder and in‐plane anisotropy in 2D metal‐halide perovskites. By comparing single‐cation AB‐AB and ordered mixed‐cation ABCD‐ABCD stackings, SCXRD reveals enhanced mosaicity, while optics confirm high birefringence.
Yixuan Dou, Nicholas Nici, Sunhao Liu, Xiaoming Wang, Yanfa Yan, Carla Slebodnick, Lina Quan   +6 more
wiley   +1 more source

Minimax Parametric Optimization Problems and Multidimensional Parametric Searching

Interdisciplinary Information Sciences, 2001
Summary: The parametric minimax problem, which finds the parameter value minimizing the weight of a solution of a combinatorial maximization problem, is a fundamental problem in sensitivity analysis. Moreover, several problems in computational geometry can be formulated as parametric minimax problems.
openaire   +3 more sources

Parametrization of Geopolymer Compressive Strength Obtained from Metakaolin Properties

Minerals
In the search for alternative cementitious materials, the alkali activation of aluminosilicates has been found to be a mechanically effective binder.
M. Taborda-Barraza, L.U.D. Tambara, C. M. Vieira, A. R. D. de Azevedo, P. Gleize   +4 more
semanticscholar   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Evolutionary dynamics on a regular networked structured and unstructured multi‐population

International Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract In this paper, we study collective decision‐making in a multi‐population framework, where groups of individuals represent whole populations that interact by means of a regular network. Each group consists of a number of players and every player can choose between two options.
Wouter Baar, Leonardo Stella, Dario Bauso   +2 more
wiley   +1 more source