Endpoint estimates for bilinear operators
The present thesis is based on the material presented in three research papers, whose main goal is to obtain endpoint estimates for bilinear pseudodifferential operators. In particular, the study is focused on obtaining several estimates involving the endpoint space of functions with local bounded mean oscillation, denoted by bmo(R^n).
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Accelerating Conjugate Gradient Solvers for Homogenization Problems With Unitary Neural Operators
International Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.ABSTRACT Rapid and reliable solvers for parametric partial differential equations (PDEs) are needed in many scientific and engineering disciplines. For example, there is a growing demand for composites and architected materials with heterogeneous microstructures.
Julius Herb, Felix Fritzen
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Restoring Ambiguous Boundaries: An Efficient and Robust Framework for Underwater Camouflaged Object Detection. [PDF]
Sensors (Basel)Wei Z, Zheng Y, Shen Y, Yang X.
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Temporal neural operator for modeling time-dependent physical phenomena. [PDF]
Sci RepDiab W, Al Kobaisi M.
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Entropic Dynamics Approach to Quantum Electrodynamics. [PDF]
Entropy (Basel)Caticha A.
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An MILP approach for optimal operation of unbalanced distribution networks through coordinated network reconfiguration and SOP utilization. [PDF]
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Particle exchange statistics beyond fermions and bosons. [PDF]
NatureWang Z, Hazzard KRA.
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Perspective on Many-Body Methods for Molecular Polaritonic Systems. [PDF]
J Chem Theory ComputBauman N +24 more
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Adaptive core-enhanced latent factor model for highly accurate QoS prediction. [PDF]
Front Big DataAi S, Li P, Fang H, Xia Y.
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