43 citations · 195 across the 20 of their papers we have counts for
21 papers
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…
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…
Interpretation of High-Dimensional Regression Coefficients by Comparison with Linearized Compressing Features
Joachim Schaeffer, Jinwook Rhyu, Robin Droop +2
Linear regression is often deemed inherently interpretable; however, challenges arise for high-dimensional data. We focus on further understanding how linear regression approximate…
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation
Jinwook Rhyu, Joachim Schaeffer, Michael L. Li +4
Optimization of the formation step in lithium-ion battery manufacturing is challenging due to limited physical understanding of solid electrolyte interphase formation and the long…
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging
Sebastian Hirt, Andreas Höhl, Johannes Pohlodek +4
Model predictive control (MPC) is a powerful tool for controlling complex nonlinear systems under constraints, but often struggles with model uncertainties and the design of suitab…
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…
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data
Joachim Schaeffer, Eric Lenz, Duncan Gulla +3
Health monitoring, fault analysis, and detection are critical for the safe and sustainable operation of battery systems. We apply Gaussian process resistance models on lithium iron…
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries
Minsu Kim, Joachim Schaeffer, Marc D. Berliner +3
Batteries are nonlinear dynamical systems that can be modeled by Porous Electrode Theory models. The aim of optimal fast charging is to reduce the charging time while keeping batte…
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
Sebastian Hirt, Andreas Höhl, Joachim Schaeffer +3
Tuning parameters in model predictive control (MPC) presents significant challenges, particularly when there is a notable discrepancy between the controller's predictions and the a…
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu +4
Batteries are dynamic systems with complicated nonlinear aging, highly dependent on cell design, chemistry, manufacturing, and operational conditions. Prediction of battery cycle l…
Physics-based Modeling of Pulse and Relaxation of High-rate Li/CF-SVO batteries in Implantable Medical Devices
Qiaohao Liang, Giacomo Galuppini, Partha M. Gomadam +6
We present a physics-based model that accurately predicts the performance of Medtronic's implantable medical device battery lithium/carbon monofluoride (CF) - silver vanadium o…
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…
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data
Joachim Schaeffer, Eric Lenz, William C. Chueh +3
High-dimensional linear regression is important in many scientific fields. This article considers discrete measured data of underlying smooth latent processes, as is often obtained…
Mechanistic Modeling and Analysis of Thermal Radiation in Conventional, Microwave-assisted, and Hybrid Freeze Drying for Biopharmaceutical Manufacturing
Prakitr Srisuma, George Barbastathis, Richard D. Braatz
In freeze drying, thermal radiation has a significant effect on the drying process of vials located near the corner and edge of the trays, resulting in non-uniformity of the produc…
Dynamics and Control of Oscillatory Bioreactors
Pavan Inguva, Krystian Ganko, Alexis B. Dubs +1
Bioreactors are widely used in many industries to generate a range of products using various host cells e.g., yeast, insect, and mammalian cells. Depending on the process, product,…
A direct optimization algorithm for input-constrained MPC
Liang Wu, Richard D. Braatz
Providing an execution time certificate is a pressing requirement when deploying Model Predictive Control (MPC) in real-time embedded systems such as microcontrollers. Real-time MP…
Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra
Joachim Schaeffer, Paul Gasper, Esteban Garcia-Tamayo +10
Analysis of Electrochemical Impedance Spectroscopy (EIS) data for electrochemical systems often consists of defining an Equivalent Circuit Model (ECM) using expert knowledge and th…
Efficient Numerical Schemes for Multidimensional Population Balance Models
Pavan Inguva, Richard D. Braatz
Multidimensional population balance models (PBMs) describe chemical and biological processes having a distribution over two or more intrinsic properties (such as size and age, or t…
Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)
Qihang Zhang, Janaka C. Gamekkanda, Ajinkya Pandit +9
Extracting quantitative information about highly scattering surfaces from an imaging system is challenging because the phase of the scattered light undergoes multiple folds upon pr…