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Lisanne Knijff

Showing results (1-10 of 4) with videos related to

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Journal of Chemical Theory and Computation|July 21, 2023
PiNNwall: Heterogeneous Electrode Models from Integrating Machine Learning and Atomistic SimulationThomas Dufils, Lisanne Knijff, Yunqi Shao, et al.
Journal of Chemical Information and Modeling|January 15, 2020
PiNN: A Python Library for Building Atomic Neural Networks of Molecules and MaterialsYunqi Shao, Matti Hellström, Pavlin D Mitev, et al.
Journal of Chemical Theory and Computation|January 30, 2025
PiNN: Equivariant Neural Network Suite for Modeling Electrochemical SystemsJichen Li, Lisanne Knijff, Zhan-Yun Zhang, et al.
ACS Nano|July 25, 2024
Modeling of Nanomaterials for Supercapacitors: Beyond Carbon ElectrodesSheng Bi, Lisanne Knijff, Xiliang Lian, et al.
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Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|July 21, 2023
PiNNwall: Heterogeneous Electrode Models from Integrating Machine Learning and Atomistic SimulationThomas Dufils, Lisanne Knijff, Yunqi Shao, et al.
Journal of Chemical Information and Modeling|January 15, 2020
PiNN: A Python Library for Building Atomic Neural Networks of Molecules and MaterialsYunqi Shao, Matti Hellström, Pavlin D Mitev, et al.
Journal of Chemical Theory and Computation|January 30, 2025
PiNN: Equivariant Neural Network Suite for Modeling Electrochemical SystemsJichen Li, Lisanne Knijff, Zhan-Yun Zhang, et al.
ACS Nano|July 25, 2024
Modeling of Nanomaterials for Supercapacitors: Beyond Carbon ElectrodesSheng Bi, Lisanne Knijff, Xiliang Lian, et al.
Pageof 1