Christopher J. Bartel
Christopher J. Bartel
Chemical Engineering and Materials Science, University of Minnesota
Verified email at - Homepage
Cited by
Cited by
New tolerance factor to predict the stability of perovskite oxides and halides
CJ Bartel, C Sutton, BR Goldsmith, R Ouyang, CB Musgrave, ...
Science advances 5 (2), eaav0693, 2019
A map of the inorganic ternary metal nitrides
W Sun, CJ Bartel, E Arca, SR Bauers, B Matthews, B Orvañanos, ...
Nature materials 18 (7), 732-739, 2019
Machine learning for heterogeneous catalyst design and discovery
BR Goldsmith, J Esterhuizen, JX Liu, CJ Bartel, C Sutton
AIChE Journal, 2018
Physical descriptor for the Gibbs energy of inorganic crystalline solids and temperature-dependent materials chemistry
CJ Bartel, SL Millican, AM Deml, JR Rumptz, W Tumas, AW Weimer, ...
Nature communications 9 (1), 4168, 2018
A critical examination of compound stability predictions from machine-learned formation energies
CJ Bartel, A Trewartha, Q Wang, A Dunn, A Jain, G Ceder
npj computational materials 6 (1), 97, 2020
Toward autonomous design and synthesis of novel inorganic materials
NJ Szymanski, Y Zeng, H Huo, CJ Bartel, H Kim, G Ceder
Materials Horizons 8 (8), 2169-2198, 2021
The role of decomposition reactions in assessing first-principles predictions of solid stability
CJ Bartel, AW Weimer, S Lany, CB Musgrave, AM Holder
npj Computational Materials 5 (1), 4, 2019
Inorganic halide double perovskites with optoelectronic properties modulated by sublattice mixing
CJ Bartel, JM Clary, C Sutton, D Vigil-Fowler, BR Goldsmith, AM Holder, ...
Journal of the American Chemical Society 142 (11), 5135-5145, 2020
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
B Deng, P Zhong, KJ Jun, J Riebesell, K Han, CJ Bartel, G Ceder
Nature Machine Intelligence 5 (9), 1031-1041, 2023
Synthetic accessibility and stability rules of NASICONs
B Ouyang, J Wang, T He, CJ Bartel, H Huo, Y Wang, V Lacivita, H Kim, ...
Nature communications 12 (1), 5752, 2021
Redox-mediated stabilization in zinc molybdenum nitrides
E Arca, S Lany, JD Perkins, C Bartel, J Mangum, W Sun, A Holder, ...
Journal of the American Chemical Society 140 (12), 4293-4301, 2018
Observing and Modeling the Sequential Pairwise Reactions that Drive Solid‐State Ceramic Synthesis
A Miura, CJ Bartel, Y Goto, Y Mizuguchi, C Moriyoshi, Y Kuroiwa, Y Wang, ...
Advanced Materials 33 (24), 2100312, 2021
An autonomous laboratory for the accelerated synthesis of novel materials
NJ Szymanski, B Rendy, Y Fei, RE Kumar, T He, D Milsted, MJ McDermott, ...
Nature 624 (7990), 86-91, 2023
Review of computational approaches to predict the thermodynamic stability of inorganic solids
CJ Bartel
Journal of Materials Science 57 (23), 10475-10498, 2022
Probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra
NJ Szymanski, CJ Bartel, Y Zeng, Q Tu, G Ceder
Chemistry of Materials 33 (11), 4204-4215, 2021
Performance comparison of and SCAN metaGGA density functionals for solid materials via an automated, high-throughput computational workflow
R Kingsbury, AS Gupta, CJ Bartel, JM Munro, S Dwaraknath, M Horton, ...
Physical Review Materials 6 (1), 013801, 2022
Selective metathesis synthesis of MgCr 2 S 4 by control of thermodynamic driving forces
A Miura, H Ito, CJ Bartel, W Sun, NC Rosero-Navarro, K Tadanaga, ...
Materials horizons 7 (5), 1310-1316, 2020
Machine-learning rationalization and prediction of solid-state synthesis conditions
H Huo, CJ Bartel, T He, A Trewartha, A Dunn, B Ouyang, A Jain, G Ceder
Chemistry of Materials 34 (16), 7323-7336, 2022
Kinetically Controlled Low-Temperature Solid-State Metathesis of Manganese Nitride Mn3N2
EG Rognerud, CL Rom, PK Todd, NR Singstock, CJ Bartel, AM Holder, ...
Chemistry of Materials 31 (18), 7248-7254, 2019
Aluminum nitride hydrolysis enabled by hydroxyl-mediated surface proton hopping
CJ Bartel, CL Muhich, AW Weimer, CB Musgrave
ACS Applied Materials & Interfaces 8 (28), 18550-18559, 2016
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