Results 81 to 90 of about 540,625 (369)
Differentiable Cosmological Simulation with the Adjoint Method
The Astrophysical Journal Supplement SeriesRapid advances in deep learning have brought not only a myriad of powerful neural networks, but also breakthroughs that benefit established scientific research.
Yin Li +7 more
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Models of Computer Calculations
Кібернетика та комп'ютерні технології, 2022 Introduction. The complexity of computational algorithms for solving typical problems of computational, applied, and discrete mathematics is analyzed from the perspective of the theory of computation, depending on the computer architecture and the used ...
Valerii Zadiraka +2 more
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
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Scientific Reports, 2021 Entropy optimization in convective viscous fluids flow due to a rotating cone is explored. Heat expression with heat source/sink and dissipation is considered. Irreversibility with binary chemical reaction is also deliberated. Nonlinear system is reduced
Yong-Min Li +5 more
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Isogenies of Elliptic Curves: A Computational Approach [PDF]
, 2009 Isogenies, the mappings of elliptic curves, have become a useful tool in cryptology. These mathematical objects have been proposed for use in computing pairings, constructing hash functions and random number generators, and analyzing the reducibility of ...
Shumow, Daniel
core +2 more sources
Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres
Advanced Functional Materials, EarlyView.MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel +3 more
wiley +1 more source
Mathematical Theory of Computational Resolution Limit in Multi-dimensions [PDF]
, 2021 Ping Liu, Hai Zhang
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Theory of quantum computation and philosophy of mathematics. Part I
Logic and Logical Philosophy, 2010 In the article, the philosophical significance of quantum computation theory for philosophy of mathematics is discussed. In particular, I examine the notion of “quantum-assisted proof” (QAP); the discussion sheds light on the problem of the nature of mathematical proof; the potential empirical aspects of mathematics and the realism-antirealism debate ...
openaire +4 more sources
Quantum Computation and Quantum Information [PDF]
, 2012 Quantum computation and quantum information are of great current interest in computer science, mathematics, physical sciences and engineering. They will likely lead to a new wave of technological innovations in communication, computation and cryptography.
Yazhen Wang
semanticscholar +1 more source
Quantifying Spin Defect Density in hBN via Raman and Photoluminescence Analysis
Advanced Functional Materials, EarlyView.An all‐optical method is presented for quantifying the density of boron vacancy spin defects in hexagonal boron nitride (hBN). By correlating Raman and photoluminescence signals with irradiation fluence, defect‐induced Raman modes are identified and established an relationship linking optical signatures to absolute defect densities. This enables direct
Atanu Patra +8 more
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