TY - JOUR
T1 - Machine-Learned Force Field for Molecular Dynamics Simulations of Nonequilibrium Ammonia Synthesis on Iron Catalysts
AU - Lele, Aditya Dilip
AU - Shi, Zhiyu
AU - Khetan, Shrey
AU - Carter, Emily A.
AU - Martirez, John Mark P.
AU - Ju, Yiguang
N1 - Publisher Copyright:
© 2025 American Chemical Society.
PY - 2025/3/13
Y1 - 2025/3/13
N2 - Ammonia (NH3) is one of the most important industrial chemicals. The conventional NH3 synthesis method─the Haber-Bosch process─converts atmospheric nitrogen (N2) into NH3 using H2 with an iron (Fe) catalyst. However, this process requires high pressures (100-200 atm) and temperatures (700-800 K) near thermal equilibrium. Recently, Fe-based nanocatalysts have been reported to produce promising NH3 yields under atmospheric pressures and temperature-modulated nonequilibrium conditions. Understanding the mechanism of nonequilibrium catalysis with programmed temperature variation could help to optimize this fully electrified and less energy-intensive process. Although reactive molecular dynamics (RMD) simulations can be a useful tool to model nonequilibrium catalytic processes, they require the development of accurate force fields (i.e., interatomic potentials). Here, we present a machine-learned (ML) force field within the Deep Potential MD (DPMD) framework, trained using periodic density functional theory (DFT) calculations, to model NH3 synthesis on Fe catalysts with various surface adsorbates such as *N, *H, *N2, *H2, *NH, *NH2, and *NH3. We generated the DFT data from static models of elementary reactions on the most stable (110) surface of body-centered cubic Fe, which then were augmented by data from constant number of particles-volume-temperature (NVT) DFT-MD trajectories at various temperatures. Finally, we utilized the fully optimized ML force field to investigate reaction dynamics at an Fe(110) surface at linearly increasing temperatures using NVT-DPMD simulations. Our simulations indicate that pulsed temperature ramping could prove favorable for NH3 synthesis. For example, we conducted ramping under multiple sets of conditions: (i) from 900 to 1200 K over periods of 0.1-0.3 ns for Fe surfaces precovered with N or NH along with H; and (ii) from 300 to 600 K over 0.1-0.3 ns for Fe surfaces precovered with NH3. While our simulations so far are limited to short time scales (very rapid heating), these observations shed light on the mechanism of the high NH3 synthesis rate achieved in a novel temperature-modulated nonequilibrium catalytic reactor using pulsed heating and cooling.
AB - Ammonia (NH3) is one of the most important industrial chemicals. The conventional NH3 synthesis method─the Haber-Bosch process─converts atmospheric nitrogen (N2) into NH3 using H2 with an iron (Fe) catalyst. However, this process requires high pressures (100-200 atm) and temperatures (700-800 K) near thermal equilibrium. Recently, Fe-based nanocatalysts have been reported to produce promising NH3 yields under atmospheric pressures and temperature-modulated nonequilibrium conditions. Understanding the mechanism of nonequilibrium catalysis with programmed temperature variation could help to optimize this fully electrified and less energy-intensive process. Although reactive molecular dynamics (RMD) simulations can be a useful tool to model nonequilibrium catalytic processes, they require the development of accurate force fields (i.e., interatomic potentials). Here, we present a machine-learned (ML) force field within the Deep Potential MD (DPMD) framework, trained using periodic density functional theory (DFT) calculations, to model NH3 synthesis on Fe catalysts with various surface adsorbates such as *N, *H, *N2, *H2, *NH, *NH2, and *NH3. We generated the DFT data from static models of elementary reactions on the most stable (110) surface of body-centered cubic Fe, which then were augmented by data from constant number of particles-volume-temperature (NVT) DFT-MD trajectories at various temperatures. Finally, we utilized the fully optimized ML force field to investigate reaction dynamics at an Fe(110) surface at linearly increasing temperatures using NVT-DPMD simulations. Our simulations indicate that pulsed temperature ramping could prove favorable for NH3 synthesis. For example, we conducted ramping under multiple sets of conditions: (i) from 900 to 1200 K over periods of 0.1-0.3 ns for Fe surfaces precovered with N or NH along with H; and (ii) from 300 to 600 K over 0.1-0.3 ns for Fe surfaces precovered with NH3. While our simulations so far are limited to short time scales (very rapid heating), these observations shed light on the mechanism of the high NH3 synthesis rate achieved in a novel temperature-modulated nonequilibrium catalytic reactor using pulsed heating and cooling.
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U2 - 10.1021/acs.jpcc.4c07596
DO - 10.1021/acs.jpcc.4c07596
M3 - Article
AN - SCOPUS:86000434329
SN - 1932-7447
VL - 129
SP - 4937
EP - 4949
JO - Journal of Physical Chemistry C
JF - Journal of Physical Chemistry C
IS - 10
ER -