Results 101 to 110 of about 63,806 (262)
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Journal of High Energy Physics, 2021 We introduce a two-dimensional sigma model associated with a Jacobi manifold. The model is a generalisation of a Poisson sigma model providing a topological open string theory.
Francesco Bascone +2 more
doaj +1 more source
Topological aspects of string theories
Nuclear Physics B, 1987 In previous work, a new action principle for strings and superstrings in arbitrary dimensions was developed. It led to a classification of strings similar to the classification of point particles as massive, massless and tachyonic. Topological aspects of four-dimensional strings were also investigated.
A. P. BALACHANDRAN +3 more
openaire +3 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Some Aspects of Mathematical and Physical Approaches for Topological Quantum Computation [PDF]
Computer Science Journal of Moldova, 2011 A paradigm to build a quantum computer, based on topological invariants is highlighted. The identities in the ensemble of knots, links and braids originally discovered in relation to topological quantum field theory are shown: how they define Artin ...
V. Kantser
doaj
Cosmic Necklaces and Ultrahigh Energy Cosmic Rays [PDF]
, 1997 Cosmic necklaces are hybrid topological defects consisting of monopoles and strings, with two strings attached to each monopole. We argue that the cosmological evolution of necklaces may significantly differ from that of cosmic strings.
A. Vilenkin +32 more
core +2 more sources
Quantitative proteomics identifies clusterin as a novel biomarker for atherosclerosis
Animal Models and Experimental Medicine, EarlyView.This schematic illustrates the proposed mechanism. In advanced atherosclerotic lesions, upregulated CLU on the cell surface activates low‐density lipoprotein (LDL) receptor‐related protein 1 (LRP1). This interaction triggers the phosphorylation and activation of AKT.
Dengfeng Ding +10 more
wiley +1 more source
B-strings on non-Kählerian manifolds
Nuclear Physics B, 2016 We explain how to couple topological B-models whose targets are non-Kählerian manifolds to topological gravity and to thus define corresponding topological strings.
Camillo Imbimbo
doaj +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 +4 more
wiley +1 more source