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Updated: Jun 7, 2025

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
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使用机器学习进行纳米粒子全球优化的一种划分和统治方法

Nicholas B Smith1,2, Anna L Garden1,2

  • 1Department of Chemistry, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand.

Journal of chemical information and modeling
|November 15, 2024
PubMed
概括

一种新的机器学习方法将潜在能量表面划分,以有效地找到纳米粒子结构. 这种方法克服了多道效应,改善了各种原子系统的全球优化.

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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