10 papers
LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm
Pedro Seber, Richard D. Braatz
Interpretable models can have advantages over black-box models, and interpretability is essential for the application of machine learning in critical settings, such as aviation or…
Line Tension Reshapes Nucleation at Surface Edges: A Generalized Theory for Nanopore Activation
Yanchen Wu, Martin Z. Bazant, Allan S. Myerson +1
Heterogeneous nucleation at surface edges is pervasive across nature and industry, yet the role of line tension, arising from asymmetric capillary interactions at geometric singula…
Mechanistic Modeling of Lipid Nanoparticle Formation for the Delivery of Nucleic Acid Therapeutics
Pavan K. Inguva, Saikat Mukherjee, Pierre J. Walker +13
Nucleic acids such as mRNA have emerged as a promising therapeutic modality with the capability of addressing a wide range of diseases. Lipid nanoparticles (LNPs) as a delivery pla…
Bayesian Analysis of Interpretable Aging across Thousands of Lithium-ion Battery Cycles
Marc D. Berliner, Minsu Kim, Xiao Cui +5
The Doyle-Fuller-Newman (DFN) model is a common mechanistic model for lithium-ion batteries. The reaction rate constant and diffusivity within the DFN model are key parameters that…
Digital Twins in Biopharmaceutical Manufacturing: Review and Perspective on Human-Machine Collaborative Intelligence
Mohammed Aatif Shahab, Francesco Destro, Richard D. Braatz
The biopharmaceutical industry is increasingly developing digital twins to digitalize and automate the manufacturing process in response to the growing market demands. However, thi…
Diagnostic-free onboard battery health assessment
Yunhong Che, Vivek N. Lam, Jinwook Rhyu +5
Diverse usage patterns induce complex and variable aging behaviors in lithium-ion batteries, complicating accurate health diagnosis and prognosis. Separate diagnostic cycles are of…