Results 121 to 130 of about 856 (206)
Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur +3 more
wiley +1 more source
Partial differential equations in data science. [PDF]
Bertozzi AL +3 more
europepmc +1 more source
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
QEKI: A Quantum-Classical Framework for Efficient Bayesian Inversion of PDEs. [PDF]
Yong J, Tang S.
europepmc +1 more source
Certified reduced basis method for variational inequalities
In this work, we present certified reduced basis methods for variational inequalities of the first kind. The proposed approaches allow us to compute real-time solutions online efficiently with notably shaper error bounds.The reduced basis method was ...
Zhang, Zhenying
core
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal +2 more
wiley +1 more source
Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs. [PDF]
Berger S, Hosters N, Möller M.
europepmc +1 more source
Maximum Principle for Boundary Control Problems Arising in Optimal Investment with Vintage Capital [PDF]
The paper concerns the study of the Pontryagin Maximum Principle for an infinite dimensional and infinite horizon boundary control problem for linear partial differential equations.
Silvia Faggian
core
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley +1 more source
A primer on variational inference for physics-informed deep generative modelling. [PDF]
Glyn-Davies A +4 more
europepmc +1 more source

