A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Pharmaceutical controlled-release formulations are systems developed by a set of unit operations to achieve a satisfactory combination between a drug and excipients to allow its gradual release. These ...

ABSTRACT: Introduction: Hospital care services are subject to many random events such as the number of patients admitted and discharged, the availability of beds in the inpatient department, the delay ...

A new technical paper titled “FastPath: A Hybrid Approach for Efficient Hardware Security Verification” was published by researchers at RPTU Kaiserslautern-Landau and UC San Diego. “We propose ...

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.

Abstract: The temporal stochastic simulation of weather has become crucial for stochastic production simulation in power systems with a high proportion of photovoltaic (PV) generation. Generative ...

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 ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Simulation is playing an increasingly critical and central role throughout the design-through-manufacturing flow, fusing together everything from design to manufacturing and test in order to reduce ...