Chiwoo Park
Chiwoo Park
Professor of Industrial and Systems Engineering, University of Washington
Verified email at - Homepage
Cited by
Cited by
Observation and Quantification of Nanoscale Processes in Lithium Batteries by Operando Electrochemical (S) TEM
BL Mehdi, J Qian, E Nasybulin, C Park, DA Welch, R Faller, H Mehta, ...
Nano Letters 15 (3), 2168-2173, 2015
Colloidal Covalent Organic Frameworks
BJ Smith, LR Parent, AC Overholts, PA Beaucage, RP Bisbey, AD Chavez, ...
ACS Central Science 3 (1), 58, 2017
Observing the Growth of Metal–Organic Frameworks by in Situ Liquid Cell Transmission Electron Microscopy
JP Patterson, P Abellan, MS Denny Jr, C Park, ND Browning, SM Cohen, ...
Journal of the American Chemical Society 137 (23), 7322-7328, 2015
Direct observation of aggregative nanoparticle growth: Kinetic modeling of the size distribution and growth rate
TJ Woehl, C Park, JE Evans, I Arslan, WD Ristenpart, ND Browning
Nano Letters 14 (1), 373–378, 2014
Segmentation, Inference and Classification of Partially Overlapping Nanoparticles
C Park, J Huang, J Ji, Y Ding
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (3), 669-681, 2013
Autonomous experimentation systems for materials development: A community perspective
E Stach, B DeCost, AG Kusne, J Hattrick-Simpers, KA Brown, KG Reyes, ...
Matter 4 (9), 2702-2726, 2021
Probing the degradation mechanisms in electrolyte solutions for Li-ion batteries by in situ TEM
P Abellán, BL Mehdi, LR Parent, M Gu, C Park, W Xu, Y Zhang, I Arslan, ...
Nano Letters 14 (3), 1293–1299, 2014
Directly observing micelle fusion and growth in solution by liquid-cell transmission electron microscopy
LR Parent, E Bakalis, A Ramírez-Hernández, JK Kammeyer, C Park, ...
Journal of the American Chemical Society 139 (47), 17140-17151, 2017
Domain decomposition approach for fast Gaussian process regression of large spatial data sets
C Park, JZ Huang, Y Ding
Journal of Machine Learning Research 12 (May), 1697-1728, 2011
Polymerization-Induced Self-Assembly of Micelles Observed by Liquid Cell Transmission Electron Microscopy
MA Touve, CA Figg, DB Wright, C Park, J Cantlon, BS Sumerlin, ...
ACS Central Science 4 (5), 543-547, 2018
Patchwork Kriging for Large-scale Gaussian Process Regression
C Park, D Apley
Journal of Machine Learning Research 19 (7), 1-43, 2018
Tackling the challenges of dynamic experiments using liquid-cell transmission electron microscopy
LR Parent, E Bakalis, M Proetto, Y Li, C Park, F Zerbetto, NC Gianneschi
Accounts of Chemical Research 51 (1), 3-11, 2018
The impact of Li grain size on coulombic efficiency in Li batteries
BL Mehdi, A Stevens, J Qian, C Park, W Xu, WA Henderson, JG Zhang, ...
Scientific Reports 6 (1), 1-8, 2016
Minimum Cost Multi-way Data Association for Optimizing Multitarget Tracking of Interacting Objects
C Park, TJ Woehl, JE Evans, ND Browning
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (3), 611-624, 2015
Quantifying the Nucleation and Growth Kinetics of Electron Beam Nanochemistry with Liquid Cell Scanning Transmission Electron Microscopy
M Wang, C Park, TJ Woehl
Chemistry of Materials 30 (21), 7727-7736, 2018
Understanding the Role of Solvation Forces on the Preferential Attachment of Nanoparticles in Liquid
DA Welch, TJ Woehl, C Park, R Faller, JE Evans, ND Browning
ACS Nano 10 (1), 181-187, 2015
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes
C Park, JZ Huang
Journal of Machine Learning Research 17 (174), 1-29, 2016
The role of electron irradiation history in liquid cell transmission electron microscopy
TH Moser, H Mehta, C Park, RT Kelly, T Shokuhfar, JE Evans
Science Advances 4 (4), 2018
A computable plug-in estimator of minimum volume sets for novelty detection
C Park, JZ Huang, Y Ding
Operations Research 58 (5), 1469-1480, 2010
A Multi-stage, Semi-automated Procedure for Analyzing the Morphology of Nanoparticles
C Park, JZ Huang, D Huitink, S Kundu, BK Mallick, H Liang, Y Ding
IIE Transactions 44 (7), 507-522, 2012
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