TY  - JOUR
T1  - Toward stable, general machine-learned models of the atmospheric chemical system.
Y1  - 2020/12/16
N1  - R835873
N1  - R840014
N1  - R840012
VL  - 125
IS  - 23
SP  - e2020JD032759
ER  - 


TY  - SER
T1  - Learned 1-D passive scalar advection to accelerate chemical transport modeling:a case study with GEOS-FP horizontal wind fields.
N1  - R840012
ER  - 


TY  - CONF
A1  - Guo, L 
A1  - Yang, X 
A1  - Zheng, Z 
A1  - Riemer, N 
A1  - Tessum, C W
T1  - Chemical surrogate modeling with uncertainty quantification using a Bayesian Neural ODE
N1  - R840012
ER  - 


TY  - CONF
A1  - Park, M 
A1  - Zheng, Z 
A1  - Riemer, N 
A1  - Tessum, C W
T1  - Learned 1-D advection solver to accelerate air quality modeling
N1  - R840012
ER  - 


TY  - CONF
A1  - Park, M 
A1  - Zheng, Z 
A1  - Riemer, N 
A1  - Tessum, C W
T1  - Toward machine-learned acceleration of passive scalar advection: Model description and verification
N1  - R840012
ER  - 


TY  - CONF
A1  - Tessum, C W
T1  - Interpretable machine learning for atmospheric model reduction
N1  - R840012
ER  - 


TY  - CONF
A1  - Tessum, C W
T1  - Machine-learned atmospheric chemical mechanisms
N1  - R840012
ER  - 


TY  - CONF
A1  - Yang, X 
A1  - Guo, L 
A1  - Zheng, Z 
A1  - Riemer, N 
A1  - Tessum, C W
T1  - Multi-phase chemistry surrogate modeling with a recurrent neural network
N1  - R840012
ER  - 


TY  - CONF
T1  - , N.
N1  - R840012
ER  - 


TY  - CONF
T1  - W.
N1  - R840012
ER  - 


TY  - CONF
T1  - W.
N1  - R840012
ER  - 


TY  - CONF
T1  - W.
N1  - R840012
ER  -