Results 111 to 120 of about 15,959 (250)
String topology: background and present state [PDF]
The data of a "2D field theory with a closed string compactification" is an equivariant chain level action of a cell decomposition of the union of all moduli spaces of punctured Riemann surfaces with each component compactified as a pseudomanifold with boundary. The axioms on the data are contained in the following assumptions.
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This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
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TS-AMIR: a topology string alignment method for intensive rapid protein structure comparison
Background In structural biology, similarity analysis of protein structure is a crucial step in studying the relationship between proteins. Despite the considerable number of techniques that have been explored within the past two decades, the development
Razmara Jafar +2 more
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This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig +7 more
wiley +1 more source
Topological partition function and string-string duality [PDF]
The evidence for string/string-duality can be extended from the matching of the vector couplings to gravitational couplings. In this note this is shown in the rank three example, the closest stringy analog of the Seiberg/Witten-setup, which is related to the Calabi-Yau $WP^4_{1,1,2,2,6}(12)$.
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Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
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Topological structures in string theory
This article provides a very general survey on some aspects of topological quantum field theory. Apparently, it is the written version of a talk that the author has delivered to a wider audience of mathematicians and physicists. The main subject of this survey is a special topic in string theory, namely the recently developed theory of (so-called) \(B\)
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Active Learning for the Discovery of Antiviral Polymers
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland +2 more
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Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu +4 more
wiley +1 more source
Spin cobordism and the gauge group of type I/heterotic string theory
Cobordism offers a unique perspective into the non-perturbative sector of string theory by demanding the absence of higher form global symmetries for quantum gravitational consistency.
Christian Kneißl
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