In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

This framework provides a complete suite of tools for analyzing hypersonic reentry trajectories under uncertainty, combining advanced mathematical modeling with modern computational methods. It ...

ABSTRACT: Stochastic modeling of biochemical reactions taking place at the cellular level has become the subject of intense research in recent years. Molecular interactions in a single cell exhibit ...

Quantifying stratigraphic uncertainty is crucial for reliable risk assessment and informed decision-making in geotechnical and geological engineering. However, accurately modeling complex stratigraphy ...

ABSTRACT: This paper presents novel contributions to the study of complex systems by developing and applying hybrid methods that integrate data-driven approaches with analytical modeling frameworks.

The method could allow artists to create realistic simulations of elastic objects, such as bouncy or squishy characters, for films or games.MIT News MIT researchers have developed an advanced ...

Abstract: In this article, a stochastic leapfrog alternating implicit finite-difference time-domain (FDTD) method is proposed for solving problems involving electromagnetic and thermal fields. The ...

Abstract: Simulation is required in real-world industrial decision-making to model the complexity, such as supply chain management with uncertain future demand. Scenario generation is critical for ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

Thomas Young Centre and Department of Chemical Engineering, University College London, Roberts Building, Torrington Place, London WC1E 7JE, U.K. Thomas Young Centre and Department of Chemical ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. This work introduces the differentiable Gillespie algorithm, ...