Results 1 to 10 of about 1,886,942 (289)
Temporal neural operator for modeling time-dependent physical phenomena [PDF]
Scientific ReportsNeural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces.
Waleed Diab, Mohammed Al Kobaisi
doaj +2 more sources
Entropy, 2022 Over recent decades, studies in porous media have focused on many fields, typically in the development of oil and gas reservoirs. The imbibition phenomenon, a common mechanism affecting multi-phase flows in porous media, has shown more significant ...
Jie Liu, Tao Zhang, Shuyu Sun
doaj +1 more source
Frontiers in Energy Research, 2022 Natural gas has been attracting increasing attentions all around the world as a relatively cleaner energy resource compared with coal and crude oil. Except for the direct consumption as fuel, electricity generation is now another environmentally-friendly
Tao Zhang, Hua Bai, Shuyu Sun
doaj +1 more source
Energies, 2021 The thermodynamic properties of fluid mixtures play a crucial role in designing physically meaningful models and robust algorithms for simulating multi-component multi-phase flow in subsurface, which is needed for many subsurface applications.
Tao Zhang, Shuyu Sun
doaj +1 more source
Effect of Temperature on Oil–Water Separations Using Membranes in Horizontal Separators
Membranes, 2022 The effect of temperature on oil–water separations is studied in this paper, focusing on the changed penetration velocities of water droplets on the separation membrane in a horizontal separator. A compact numerical scheme is developed based on the phase-
Tao Zhang, Chenguang Li, Shuyu Sun
doaj +1 more source
Thermodynamics of Learning Physical Phenomena
Archives of Computational Methods in Engineering, 2023 AbstractThermodynamics could be seen as an expression of physics at a high epistemic level. As such, its potential as an inductive bias to help machine learning procedures attain accurate and credible predictions has been recently realized in many fields. We review how thermodynamics provides helpful insights in the learning process.
Elias Cueto, Francisco Chinesta
openaire +2 more sources
The relationship between AB0 and Rh blood types and common physical complaints during pregnancy
Adıyaman Üniversitesi Sağlık Bilimleri Dergisi, 2023 Aim: This research aimed to determine the relationship between AB0 and Rh blood types and the ordinary physical conditions in pregnancy. Materials and methods: The research was carried out with 600 pregnant women in the third trimester between 01/10/2021
Elif Tuğçe Çitil, Funda Çitil Canbay
doaj +1 more source
Region of hadron-quark mixed phase in hybrid stars [PDF]
, 2000 Hadron--quark mixed phase is expected in a wide region of the inner structure of hybrid stars. However, we show that the hadron--quark mixed phase should be restricted to a narrower region to because of the charge screening effect.
A Muendel +39 more
core +4 more sources
Influence of Magnetic Field on Evaporation Rate and Surface Tension of Water
Colloids and Interfaces, 2018 Using neodymium ring magnets (0.5⁻0.65 T), the experiments on the magnetic field (MF) effects on water evaporation rate and surface tension were performed at room temperature (22⁻24 °C).
Emil Chibowski +2 more
doaj +1 more source
Philosophies, 2020 This paper presents the concept of physical information, and it discusses what physical information is, and how it can be defined. The existence of physical information has been discussed in several studies which recognize that properties of information ...
Roman Krzanowski
doaj +1 more source