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Christopher Karpovich
Christopher Karpovich
Graduate Student, MIT
Correu electrònic verificat a mit.edu
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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
4652018
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
932019
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
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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