ReaxFF Reactive Force Field Development and Applications for Molecular Dynamics Simulations of Ammonia Borane Dehydrogenation and Combustion | The Journal of Physical Chemistry A
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Reactive force-field molecular dynamics simulation for the surface reaction of SiHx (x = 2–4) species on Si(1 0 0)-(2 × 1):H surfaces in chemical vapor deposition processes - ScienceDirect
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Development of a Reactive Force Field for Simulations on the Catalytic Conversion of C/H/O Molecules on Cu-Metal and Cu-Oxide Surfaces and Application to Cu/CuO-Based Chemical Looping | The Journal of Physical Chemistry
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Recent Advances for Improving the Accuracy, Transferability, and Efficiency of Reactive Force Fields | Journal of Chemical Theory and Computation
![ReaxFF webinar by Adri van Duin: 26 April 2022, 3pm CEST - Software for Chemistry & Materials Software for Chemistry & Materials ReaxFF webinar by Adri van Duin: 26 April 2022, 3pm CEST - Software for Chemistry & Materials Software for Chemistry & Materials](https://www.scm.com/wp-content/uploads/ReaxFF_Collage-1024x475.png)
ReaxFF webinar by Adri van Duin: 26 April 2022, 3pm CEST - Software for Chemistry & Materials Software for Chemistry & Materials
Molecular dynamics simulations of stability of metal–organic frameworks against H2O using the ReaxFF reactive force field - Chemical Communications (RSC Publishing)
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ReaxFF-MPNN machine learning potential: a combination of reactive force field and message passing neural networks - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D1CP01656C
![Simulation Protocol for Prediction of a Solid-Elecrolyte Interphase on the Silicon-Based Anodes of a Lithium-Ion Battery: ReaxFF Reactive Force Field Simulation Protocol for Prediction of a Solid-Elecrolyte Interphase on the Silicon-Based Anodes of a Lithium-Ion Battery: ReaxFF Reactive Force Field](http://csrc.kist.re.kr/data/file/m04_01/1890265010_vRUdcgD0_ae6b4c04618e454f1cfeccf20b39b7cbcec6fbef.gif)
Simulation Protocol for Prediction of a Solid-Elecrolyte Interphase on the Silicon-Based Anodes of a Lithium-Ion Battery: ReaxFF Reactive Force Field
![Training a reactive (ReaxFF) force field for the simulation of zeolite nucleation in a hydrated silicate ionic liquid | Center for Molecular Modeling Training a reactive (ReaxFF) force field for the simulation of zeolite nucleation in a hydrated silicate ionic liquid | Center for Molecular Modeling](https://plato.ea.ugent.be/masterproef/figuren/ldebock/MODEV18.png)
Training a reactive (ReaxFF) force field for the simulation of zeolite nucleation in a hydrated silicate ionic liquid | Center for Molecular Modeling
![Multiparameter and Parallel Optimization of ReaxFF Reactive Force Field for Modeling the Atomic Layer Deposition of Copper,The Journal of Physical Chemistry C - X-MOL Multiparameter and Parallel Optimization of ReaxFF Reactive Force Field for Modeling the Atomic Layer Deposition of Copper,The Journal of Physical Chemistry C - X-MOL](https://xpic.x-mol.com/20171213%2F10.1021_acs.jpcc.7b09948.jpg)
Multiparameter and Parallel Optimization of ReaxFF Reactive Force Field for Modeling the Atomic Layer Deposition of Copper,The Journal of Physical Chemistry C - X-MOL
![PDF] JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields | Semantic Scholar PDF] JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/f5346f68c2443a33ec4d203ec8948db20ff8cbbc/5-Figure1-1.png)
PDF] JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields | Semantic Scholar
![Molecular dynamics simulations of the interactions between TiO2 nanoparticles and water with Na+ and Cl−, methanol, and formic acid using a reactive force field | Journal of Materials Research | Cambridge Core Molecular dynamics simulations of the interactions between TiO2 nanoparticles and water with Na+ and Cl−, methanol, and formic acid using a reactive force field | Journal of Materials Research | Cambridge Core](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Aarticle%3AS0884291412003676/resource/name/S0884291412003676_figAb.jpeg?pub-status=live)
Molecular dynamics simulations of the interactions between TiO2 nanoparticles and water with Na+ and Cl−, methanol, and formic acid using a reactive force field | Journal of Materials Research | Cambridge Core
![Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt | Nature Communications Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt | Nature Communications](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41467-022-32294-0/MediaObjects/41467_2022_32294_Fig1_HTML.png)
Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt | Nature Communications
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The ReaxFF reactive force-field: development, applications and future directions | npj Computational Materials
A transferable active-learning strategy for reactive molecular force fields - Chemical Science (RSC Publishing)
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