Results 11 to 20 of about 142,726 (269)
Micromachines, 2021 This paper proposes a feedforward and feedback combined hysteresis compensation method for a piezoelectric actuator (PEA) based on the multi-layer feedforward neural network (MFNN) inverse model.
Yanding Qin +3 more
doaj +1 more source
Models with inverse-square exchange [PDF]
Physical Review B, 1992 26 ...
Ha, Z. N. C., Haldane, F. D. M.
openaire +3 more sources
Brain Sciences, 2022 Conventional transcranial electric stimulation(tES) using standard anatomical positions for the electrodes and standard stimulation currents is frequently not sufficiently selective in targeting and reaching specific brain locations, leading to ...
Steven Beumer +6 more
doaj +1 more source
Agriculture, 2022 The overelevation of the water table in surface irrigation plots is one of the main factors affecting salinization in agricultural soils. Therefore, it is necessary to develop simulation models that consider the effect of a shallow water table in the ...
Sebastián Fuentes, Carlos Chávez
doaj +1 more source
Atmosphere, 2023 Among air toxics, formaldehyde (HCHO) is an important contributor to urban cancer risk. Emissions of HCHO in the United States are systematically under-reported and may enhance atmospheric ozone and particulate matter, intensifying their impacts on human
Eduardo P. Olaguer
doaj +1 more source
Estimating Watershed Subsurface Permeability From Stream Discharge Data Using Deep Neural Networks
Frontiers in Earth Science, 2021 Subsurface permeability is a key parameter in watershed models that controls the contribution from the subsurface flow to stream flows. Since the permeability is difficult and expensive to measure directly at the spatial extent and resolution required by
Erol Cromwell +7 more
doaj +1 more source
Spatial coherence control and analysis via micromirror-based mixed-state ptychography
New Journal of Physics, 2021 Flexible and fast control of the phase and amplitude of coherent light, enabled by digital micromirror devices (DMDs) and spatial light modulators, has been a driving force for recent advances in optical tweezers, nonlinear microscopy, and wavefront ...
Ruslan Röhrich +3 more
doaj +1 more source
Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations
Environmental Research Letters, 2022 Atmospheric methane mixing ratio rose by 15 ppbv between 2019 and 2020, the fastest growth rate on record. We conduct a global inverse analysis of 2019–2020 Greenhouse Gases Observing Satellite observations of atmospheric methane to analyze the ...
Zhen Qu +9 more
doaj +1 more source
Efficient Exploration of Microstructure-Property Spaces via Active Learning
Frontiers in Materials, 2022 In materials design, supervised learning plays an important role for optimization and inverse modeling of microstructure-property relations. To successfully apply supervised learning models, it is essential to train them on suitable data.
Lukas Morand +5 more
doaj +1 more source
On inverse problems modeled by PDE’s [PDF]
Matemática Contemporânea, 2000 We investigate the iterative methods proposed by Maz'ya and Kozlov (see [3], [4]) for solving ill-posed reconstruction problems modeled by PDE's. We consider linear time dependent problems of elliptic, hyperbolic and parabolic types. Each iteration of the analyzed methods consists on the solution of a well posed boundary (or initial) value problem. The
openaire +3 more sources