Perttu Lantto

University of Oulu — Finland

Chemistry · Physical Sciences

26h-index1.9kcitations94works0.52yr avg
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Research Topics

Advanced NMR Techniques and Applications(51), Atomic and Subatomic Physics Research(20), Advanced Chemical Physics Studies(18), Quantum, superfluid, helium dynamics(16), Crystallization and Solubility Studies(15)

Publications94 total

Modeling 129Xe NMR chemical shift sensitivity in carbon nanotube systems
Microporous and Mesoporous Materials·2026Open Access
Machine Learning Accelerated Path Integral Molecular Dynamics and 13C NMR Simulations Unlock New Insights Into Quantum Effects in C60 Fullerene
2025Open Access
Equivariant Neural Networks Reveal How Host–Guest Interactions Shape <sup>129</sup> Xe NMR in Porous Liquids
The Journal of Physical Chemistry Letters·2025Open Access
Machine Learning-Accelerated Path Integral Molecular Dynamics and 13C NMR Simulations Unlock New Insights Into Quantum Effects in C60 Fullerene
2025Open Access
Equivariant Neural Networks Reveal How Host–Guest Interactions Shape 129Xe NMR in Porous Liquids
2025Open Access
Equivariant Neural Networks Reveal How Host–Guest Interactions Shape 129Xe NMR in Porous Liquids
2025Open Access
Quantum-mechanical treatment of thermal effects on the structure and <sup>13</sup>C NMR shielding of buckminsterfullerene C<sub>60</sub>
Physical Chemistry Chemical Physics·2025Open Access
Equivariant Neural Networks Reveal How Host–Guest Interactions Shape Xenon NMR Chemical Shift in Porous Organic Cages
SPIRE - Sciences Po Institutional REpository·2025Open Access
Gas Uptake and Thermodynamics in Porous Liquids Elucidated by <sup>129</sup>Xe NMR
The Journal of Physical Chemistry Letters·2024· 6 citedOpen Access
Efficient and Accurate Local Equivariant Deep Neural Network Interatomic Potential for Large-Scale Porous Liquids Simulations
SPIRE - Sciences Po Institutional REpository·2024Open Access
Modeling Porous Liquids with Machine-Learning-Assisted Molecular Dynamics
SPIRE - Sciences Po Institutional REpository·2024Open Access
Scalable, Accurate and Data-Efficient Machine Learning Potential Models for Realistic Simulations of Porous Materials
SPIRE - Sciences Po Institutional REpository·2024Open Access
Encapsulation of xenon by bridged resorcinarene cages with high 129Xe NMR chemical shift and efficient exchange dynamics
Cell Reports Physical Science·2023· 5 citedOpen Access
129Xe NMR analysis of pore structures and adsorption phenomena in rare-earth element phosphates
Microporous and Mesoporous Materials·2022· 5 citedOpen Access
CSD 2175870: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
CSD 2175867: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
CSD 2175864: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
CSD 2175872: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
CSD 2175865: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
CSD 2175868: Experimental Crystal Structure Determination
The Cambridge Structural Database·2022Open Access
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Frequent Co-authors

Juha Vaara(40), Ville‐Veikko Telkki(8), Jukka Jokisaari(8), Pekka Manninen(6), Suvi Ikäläinen(6), Matti Hanni(6), Jiří Mareš(5), Jarkko Vähäkangas(5), Kenneth Ruud(4), Juho Roukala(4), Michal Straka(4), Jaakko Kaski(3), Teemu S. Pennanen(3), Sanna Komulainen(3), Risto S. Laitinen(3), Vasantha Gowda(3), Anna‐Carin Larsson(3), Oleg N. Antzutkin(3), Jouni Karjalainen(3), Jianfeng Zhu(2)