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Christopher Karpovich
Christopher Karpovich
Graduate Student, MIT
Verified email at mit.edu
Title
Cited by
Cited by
Year
Layer‐by‐layer assembly of cross‐functional semi‐transparent MXene‐carbon nanotubes composite films for next‐generation electromagnetic interference shielding
GM Weng, J Li, M Alhabeb, C Karpovich, H Wang, J Lipton, K Maleski, ...
Advanced Functional Materials 28 (44), 1803360, 2018
4632018
A Promising Carbon/g‐C3N4 Composite Negative Electrode for a Long‐Life Sodium‐Ion Battery
GM Weng, Y Xie, H Wang, C Karpovich, J Lipton, J Zhu, J Kong, ...
Angewandte Chemie 131 (39), 13865-13871, 2019
912019
Strongly coupled phenazine–porphyrin dyads: Light-harvesting molecular assemblies with broad absorption coverage
SH Lee, AJ Matula, G Hu, JL Troiano, CJ Karpovich, RH Crabtree, ...
ACS applied materials & interfaces 11 (8), 8000-8008, 2019
392019
A highly efficient perovskite photovoltaic-aqueous Li/Na-ion battery system
GM Weng, J Kong, H Wang, C Karpovich, J Lipton, F Antonio, ZS Fishman, ...
Energy Storage Materials 24, 557-564, 2020
342020
Underwater organic solar cells via selective removal of electron acceptors near the top electrode
J Kong, D Nordlund, JS Jin, SY Kim, SM Jin, D Huang, Y Zheng, ...
ACS Energy Letters 4 (5), 1034-1041, 2019
302019
Perovskite solar cells with enhanced fill factors using polymer-capped solvent annealing
J Kong, H Wang, JA Rohr, ZS Fishman, Y Zhou, M Li, M Cotlet, G Kim, ...
ACS Applied Energy Materials 3 (8), 7231-7238, 2020
202020
Interpretable machine learning enabled inorganic reaction classification and synthesis condition prediction
C Karpovich, E Pan, Z Jensen, E Olivetti
Chemistry of Materials 35 (3), 1062-1079, 2023
92023
Cation-exchanged conductive Mn2DSBDC metal–organic frameworks: Synthesis, structure, and THz conductivity
B Pattengale, J Neu, A Tada, G Hu, CJ Karpovich, GW Brudvig
Polyhedron 203, 115182, 2021
72021
Deep reinforcement learning for inverse inorganic materials design
E Pan, C Karpovich, E Olivetti
arXiv preprint arXiv:2210.11931, 2022
62022
Inorganic synthesis reaction condition prediction with generative machine learning
C Karpovich, Z Jensen, V Venugopal, E Olivetti
arXiv preprint arXiv:2112.09612, 2021
62021
Machine-Learning Based Selection and Synthesis of Candidate Metal-Insulator Transition Metal Oxides
AB Georgescu, P Ren, C Karpovich, E Olivetti, JM Rondinelli
arXiv preprint arXiv:2404.08653, 2024
2024
Machine Learning Enabled Inorganic Synthesis Planning and Materials Design
C Karpovich
Massachusetts Institute of Technology, 2023
2023
Layer-By-Layer Assembly of Cross-Functional Semi-Transparent Mxene-Carbon Nanotubes Composite Films for Next-Generation Electromagnetic Interference Shielding
CJ Karpovich, GM Weng, J Li, M Alhabeb, H Wang, J Lipton, K Maleski, ...
2018 AIChE Annual Meeting, 2018
2018
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Articles 1–13