Results 21 to 30 of about 16,973 (123)

The logic of causally closed spacetime subsets

, 2002
The causal structure of space-time offers a natural notion of an opposite or orthogonal in the logical sense, where the opposite of a set is formed by all points non time-like related with it.
Casini, H.
core   +2 more sources

Exploiting lattice structures in shape grammar implementations [PDF]

, 2018
The ability to work with ambiguity and compute new designs based on both defined and emergent shapes are unique advantages of shape grammars. Realizing these benefits in design practice requires the implementation of general purpose shape grammar ...
Alan de Pennington, Alison McKay, Amar Kumar Behera, Berge, Chase, Chau, Christopher F. Earl, Faux, Grätzer, Hau Hing Chau, Krishnamurti, Krstic, Krstic, Li, Minsky, Piegl, Rovetto, Ruiz-Montiel, Simons, Stiny, Strobbe, Szász, Tapia, Tversky, Wittgenstein   +24 more
core   +3 more sources

25 years development of knowledge graph theory: the results and the challenge [PDF]

, 2008
The project on knowledge graph theory was begun in 1982. At the initial stage, the goal was to use graphs to represent knowledge in the form of an expert system.
Hoede, Cornelis, Nurdiati, Sri
core   +2 more sources

Quantum information as a non-Kolmogorovian generalization of Shannon's theory [PDF]

, 2015
In this article we discuss the formal structure of a generalized information theory based on the extension of the probability calculus of Kolmogorov to a (possibly) non-commutative setting.
Bellomo, G., Bosyk, G. M., Holik, F.
core   +4 more sources

Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology [PDF]

, 2011
Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology.
Deschrijver, Glad, Esmi, Estevão, Kerre, Etienne, Mélange, Tom, Nachtegael, Mike, Sussner, Peter   +5 more
core   +1 more source

Phononics: Manipulating heat flow with electronic analogs and beyond

, 2012
The form of energy termed heat that typically derives from lattice vibrations, i.e. the phonons, is usually considered as waste energy and, moreover, deleterious to information processing.
Baowen Li, Braun, O. M., Callen, H. B., Chen, G., Frenkel, J., Frenkel, J., Gang Zhang, Gao, X.-Y., Jie Ren, Kapitza, P. L., Lei Wang, Nianbei Li, Peter Hänggi, Wang, L., Zimen, J. M.   +14 more
core   +2 more sources

Lattice Gauge Fields Topology Uncovered by Quaternionic sigma-model Embedding

, 2005
We investigate SU(2) gauge fields topology using new approach, which exploits the well known connection between SU(2) gauge theory and quaternionic projective sigma-models and allows to formulate the topological charge density entirely in terms of sigma ...
B. A. Dubrovin, B. A. Dubrovin, D. Diakonov, F. V. Gubarev, M. S. Narasimhan, S. M. Morozov, S. L. Adler   +6 more
core   +1 more source

Selective Oxidation Strategies for Cost‐Efficient Green Hydrogen Production via Hybrid Water Electrolysis

Carbon Energy, EarlyView.
Hybrid water electrolysis has emerged as a promising alternative to conventional electrolysis for sustainable hydrogen production. The economic potential of replacing water oxidation with organic substrates is assessed. For each substrate, representative electrocatalysts and mechanistic insights are reviewed to identify design principles for optimized ...
Conor Brennan‐Pollak, Lua Henderson, Cian Clarke, Maida A. Costa de Oliveira, Dídac A. Fenoll, Sreedhanya Pallilavalappil, Aswathy Babu, Shaista Jabeen, Pranav K. Gangadharan, Huabin Zhang, Suresh C. Pillai, Paula E. Colavita, Max García‐Melchor   +12 more
wiley   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source