Results 141 to 150 of about 260,783 (310)
Least squares fitting the three-parameter inverse Weibull density [PDF]
, 2010 The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the appropriate inverse Weibull density are not known and must be estimated from a random sample.
Marušić, Miljenko +5 more
core +1 more source
QUANTITATIVE STABILITY OF GEL’FAND’S INVERSE BOUNDARY PROBLEM [PDF]
In Gel’fand’s inverse problem, one aims to determine the topology, differential structure and Riemannian metric of a compact manifold M with boundary from the knowledge of the boundary ∂M, the Neumann eigenvalues λj and the boundary values of the ...
Lassas, Matti +3 more
core +1 more source
Source inverse problem for fractional kinetic equation
Математичні СтудіїWe study the Cauchy problem for fractional kinetic equation in spaces with values in the entire scale of spaces of Bessel potentials, prove its unique, classical in time, solvability, obtaining an analogue of the maximum regularity of the solution ...
P. I. Boyko, H. P. Lopushanska
doaj +1 more source
Advanced Materials, EarlyView.The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
A Predictor-Corrector Methods for Mixed Inverse Variational Inequalities [PDF]
, 2009 In this paper, a class of mixed inverse variational inequalities is introduced and studied. We prove the existence of the solution of the auxiliary problem for mixed inverse variational inequalities, suggest a predictor-corrector method for solving the ...
Shi, Chaofeng
core
Implicit Solutions of the Electrical Impedance Tomography Inverse Problem in the Continuous Domain with Deep Neural Networks. [PDF]
Entropy (Basel), 2023 Strauss T, Khan T.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Determination of an unknown coefficient in a parabolic inverse problem [PDF]
, 2004 In this paper we study a parabolic inverse problem of finding a(t) such that u(t) = a(t)u(xx) subject to initial-boundary value conditions and an over-specified condition.
Azari, H +3 more
core +2 more sources
Effect of Segmentation Uncertainty on the ECGI Inverse Problem Solution and Source Localization. [PDF]
Comput Cardiol (2010), 2022 Gassa N +10 more
europepmc +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
Advanced Materials, EarlyView.This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
wiley +1 more source