[HTML][HTML] Design of experiments applied to lithium-ion batteries: A literature review
LA Román-Ramírez, J Marco - Applied Energy, 2022 - Elsevier
The statistical design of experiments methodology (DoE) has been a valuable tool since its
conception for the understanding of the relationship between factors and responses …
conception for the understanding of the relationship between factors and responses …
Invited review: Machine learning for materials developments in metals additive manufacturing
In metals additive manufacturing (AM), materials and components are concurrently made in
a single process as layers of metal are fabricated on top of each other in the near-final …
a single process as layers of metal are fabricated on top of each other in the near-final …
Performance evaluation of a solar desalination-hot water system using heat pipe vacuum tube parabolic trough solar collector–An experimental study with Taguchi …
The utilization of renewable energy to generate hot water and distilled water can
considerably reduce pollution. This study looked at a hybrid system that used a parabolic …
considerably reduce pollution. This study looked at a hybrid system that used a parabolic …
An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of …
MZ Naser - Automation in Construction, 2021 - Elsevier
While artificial intelligence (AI), and by extension machine learning (ML), continues to be
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …
Self-nano-emulsifying drug-delivery systems: From the development to the current applications and challenges in oral drug delivery
Approximately one third of newly discovered drug molecules show insufficient water
solubility and therefore low oral bio-availability. Self-nano-emulsifying drug-delivery systems …
solubility and therefore low oral bio-availability. Self-nano-emulsifying drug-delivery systems …
Physics-informed machine learning and mechanistic modeling of additive manufacturing to reduce defects
In the past few decades, additive manufacturing has evolved for the one-step fabrication of
various complex, customized metallic components that cannot be easily and economically …
various complex, customized metallic components that cannot be easily and economically …
A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
Design of experiments in the optimization of nanoparticle-based drug delivery systems
Abstract Design of experiment (DoE) is a powerful statistical technique used for variable
screening and optimization. It is based on the simultaneous variation of multiple factors with …
screening and optimization. It is based on the simultaneous variation of multiple factors with …
A numerical analysis of the electromagnetic field effect on direct contact membrane distillation performance
Using an advanced CFD model, this study attempts to determine how electromagnetic field
(EMF) affects the performance of the direct contact membrane distillation (DCMD) process …
(EMF) affects the performance of the direct contact membrane distillation (DCMD) process …
Fungal biosurfactants, from nature to biotechnological product: bioprospection, production and potential applications
Biosurfactants are in demand by the global market as natural commodities that can be
added to commercial products or use in environmental applications. These biomolecules …
added to commercial products or use in environmental applications. These biomolecules …