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2020 – today
- 2024
[j7]Joachim Schaeffer
, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180: 108471 (2024)- [i5]Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen:
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. CoRR abs/2406.19015 (2024) - [i4]Pavan K. Inguva, Saikat Mukherjee, Pierre J. Walker, Mona A. Kanso, Jie Wang, Yanchen Wu, Vico Tenberg, Srimanta Santra, Shalini Singh, Shin Hyuk Kim, Bernhardt L. Trout, Martin Z. Bazant, Allan S. Myerson, Richard D. Braatz:
Mechanistic Modeling of Lipid Nanoparticle Formation for the Delivery of Nucleic Acid Therapeutics. CoRR abs/2408.08577 (2024) - 2023
- [j6]Hongbo Zhao, Haitao Dean Deng, Alexander E. Cohen, Jongwoo Lim, Yiyang Li, Dimitrios Fraggedakis, Benben Jiang, Brian D. Storey, William C. Chueh, Richard D. Braatz, Martin Z. Bazant:
Learning heterogeneous reaction kinetics from X-ray videos pixel by pixel. Nat. 621(7978): 289-294 (2023) - [i3]Wei Li, Martin Z. Bazant, Juner Zhu:
Phase-Field DeepONet: Physics-informed deep operator neural network for fast simulations of pattern formation governed by gradient flows of free-energy functionals. CoRR abs/2302.13368 (2023) - [i2]Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz:
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data. CoRR abs/2309.00564 (2023) - 2022
- [c1]Marc D. Berliner, Benben Jiang, Daniel A. Cogswell, Martin Z. Bazant, Richard D. Braatz:
Fast Charging of Lithium-ion Batteries by Mathematical Reformulation as Mixed Continuous-Discrete Simulation. ACC 2022: 5265-5270 - 2021
- [j5]Hongbo Zhao, Richard D. Braatz, Martin Z. Bazant:
Image inversion and uncertainty quantification for constitutive laws of pattern formation. J. Comput. Phys. 436: 110279 (2021) - 2020
- [i1]Wei Li, Martin Z. Bazant, Juner Zhu:
A Physics-Guided Neural Network Framework for Elastic Plates: Comparison of Governing Equations-Based and Energy-Based Approaches. CoRR abs/2010.06050 (2020)
2010 – 2019
- 2015
- [j4]Markus Schmuck, Martin Z. Bazant:
Homogenization of the Poisson-Nernst-Planck equations for Ion Transport in Charged Porous Media. SIAM J. Appl. Math. 75(3): 1369-1401 (2015) - 2014
- [j3]Yi Zeng, Martin Z. Bazant:
Phase Separation Dynamics in Isotropic Ion-Intercalation Particles. SIAM J. Appl. Math. 74(4): 980-1004 (2014)
2000 – 2009
- 2005
- [j2]Martin Z. Bazant, Kevin T. Chu, B. J. Bayly:
Current-Voltage Relations for Electrochemical Thin Films. SIAM J. Appl. Math. 65(5): 1463-1484 (2005) - [j1]Kevin T. Chu, Martin Z. Bazant:
Electrochemical Thin Films at and above the Classical Limiting Current. SIAM J. Appl. Math. 65(5): 1485-1505 (2005)
Coauthor Index
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