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Ioan-Bogdan Magdău

Showing results (1-10 of 5) with videos related to

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Journal of Chemical Theory and Computation|June 5, 2025
Transferability of Data Sets between Machine-Learned Interatomic Potential AlgorithmsSamuel P Niblett, Panagiotis Kourtis, Ioan-Bogdan Magdău, et al.
The Journal of Physical Chemistry. B|September 8, 2020
Sum-Frequency Signals in 2D-Terahertz-Terahertz-Raman SpectroscopyGriffin Mead, Haw-Wei Lin, Ioan-Bogdan Magdău, et al.
Journal of Chemical Theory and Computation|March 31, 2026
Limitations of Cluster-Trained MLIPs for Liquid Density and DiffusivityViktor Svahn, Ioan-Bogdan Magdău, Samuel P Niblett, et al.
Journal of the American Chemical Society|May 19, 2025
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic MoleculesDávid Péter Kovács, J Harry Moore, Nicholas J Browning, et al.
The Journal of Chemical Physics|November 13, 2025
A foundation model for atomistic materials chemistryIlyes Batatia, Philipp Benner, Yuan Chiang, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Chemical Theory and Computation|June 5, 2025
Transferability of Data Sets between Machine-Learned Interatomic Potential AlgorithmsSamuel P Niblett, Panagiotis Kourtis, Ioan-Bogdan Magdău, et al.
The Journal of Physical Chemistry. B|September 8, 2020
Sum-Frequency Signals in 2D-Terahertz-Terahertz-Raman SpectroscopyGriffin Mead, Haw-Wei Lin, Ioan-Bogdan Magdău, et al.
Journal of Chemical Theory and Computation|March 31, 2026
Limitations of Cluster-Trained MLIPs for Liquid Density and DiffusivityViktor Svahn, Ioan-Bogdan Magdău, Samuel P Niblett, et al.
Journal of the American Chemical Society|May 19, 2025
MACE-OFF: Short-Range Transferable Machine Learning Force Fields for Organic MoleculesDávid Péter Kovács, J Harry Moore, Nicholas J Browning, et al.
The Journal of Chemical Physics|November 13, 2025
A foundation model for atomistic materials chemistryIlyes Batatia, Philipp Benner, Yuan Chiang, et al.
Pageof 1