The package contains functions to compute option-implied moments and characteristics from implied volatility surface data. The computations are based on the out-the-money (OTM) implied volatilities, ...
pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. The package is ...
Computational methods in protein engineering often require encoding amino acid sequences, i.e., converting them into numeric arrays. Physicochemical properties are a typical choice to define encoders, ...
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...
Newly digitized sources at France's colonial archive and national library call into question the long running claim that Vietnamese communist leader Hồ Chí Minh experienced a "Wilsonian moment" during ...
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