RIO: a new computational framework for accurate initial data of binary black holes
Sign Up to like & getrecommendations! Published in 2018 at "General Relativity and Gravitation"
DOI: 10.1007/s10714-018-2393-1
Abstract: We present a computational framework (Rio) in the ADM 3+1 approach for numerical relativity. This work enables us to carry out high resolution calculations for initial data of two arbitrary black holes. We use the… read more here.
Keywords: rio new; computational framework; black holes; new computational ... See more keywords
A new computational approach for the solutions of generalized pantograph-delay differential equations
Sign Up to like & getrecommendations! Published in 2018 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-017-0418-0
Abstract: In this study, a new computational approach is presented to solve the generalized pantograph-delay differential equations (PDDEs). The solutions obtained by our scheme represent by a linear combination of a special kind of basis functions,… read more here.
Keywords: pantograph delay; computational approach; generalized pantograph; new computational ... See more keywords
New computational approach for exergy and entropy analysis of nanofluid under the impact of Lorentz force through a porous media
Sign Up to like & getrecommendations! Published in 2019 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2018.09.044
Abstract: Abstract In current simulation, role of magnetic forces on ferrofluid second law treatment via innovative computational method has been reported. To estimate behavior of porous media, Non-Darcy model has been involved. Contours display the impact… read more here.
Keywords: new computational; computational approach; force; approach exergy ... See more keywords
Deep learning: new computational modelling techniques for genomics
Sign Up to like & getrecommendations! Published in 2019 at "Nature Reviews Genetics"
DOI: 10.1038/s41576-019-0122-6
Abstract: As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires… read more here.
Keywords: deep learning; new computational; computational modelling; modelling techniques ... See more keywords
Understanding the solubilization of Ca acetylide with a new computational model for ionic pairsâ€
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Science"
DOI: 10.1039/d0sc04752j
Abstract: The unique reactivity of the acetylenic unit in DMSO gives rise to ubiquitous synthetic methods. We theoretically consider CaC2 solubility and protolysis in DMSO and formulate a strategy for CaC2 activation in solution-phase chemical transformations.… read more here.
Keywords: 600 40z; understanding solubilization; solubilization acetylide; 600 600 ... See more keywords
A new computational strategy for identifying essential proteins based on network topological properties and biological information
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0182031
Abstract: Essential proteins are the proteins that are indispensable to the survival and development of an organism. Deleting a single essential protein will cause lethality or infertility. Identifying and analysing essential proteins are key to understanding… read more here.
Keywords: identifying essential; information; new computational; computational strategy ... See more keywords