Results 141 to 150 of about 2,052,813 (206)
Solar Energy Risks: Stochastic Radiation Modeling and Optimal Hedging Strategies
ABSTRACT The growing integration of solar power into electricity markets increasingly demands advanced risk management tools to address the inherent variability of solar radiation and its interaction with electricity prices. This paper introduces a novel framework for modeling and pricing new financial instruments designed to link payoffs directly to ...
Silvia Romagnoli, Beniamino Sartini
wiley +1 more source
Time Series Correlations and Kolmogorov Complexity: A Hausdorff Dimension Perspective. [PDF]
Hamzi B +4 more
europepmc +1 more source
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley +1 more source
Factoring an integer with three oscillators and a qubit. [PDF]
Brenner L +3 more
europepmc +1 more source
Hybrid Coupling With Operator Inference and the Overlapping Schwarz Alternating Method
ABSTRACT This paper presents a hybrid approach for coupling subdomain‐local, nonintrusive Operator Inference (OpInf) reduced order models (ROMs) with each other and with subdomain‐local, high‐fidelity full order models (FOMs) using the overlapping Schwarz alternating method (O‐SAM).
Irina Tezaur +5 more
wiley +1 more source
STARCall integrates image stitching, alignment, and read calling to enable scalable analysis of in situ sequencing data. [PDF]
Bradley NJ +3 more
europepmc +1 more source
Microring Resonator Dispersion Metrology With Neural Networks
We present a machine learning framework for inverse and forward characterization of microring resonators, inferring geometry and material dispersion from sparse spectral data. The approach achieves nanometer‐scale accuracy and > 99% material identification, while reconstructing full dispersion spectra.
Ergun Simsek +3 more
wiley +1 more source
A decoupled alignment kernel for peptide membrane permeability predictions. [PDF]
Amirahmadi A +5 more
europepmc +1 more source
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang +4 more
wiley +1 more source

