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Sigbjørn Løland Bore
Sigbjørn Løland Bore
Verified email at kjemi.uio.no - Homepage
Title
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Cited by
Year
DeePMD-kit v2: A software package for deep potential models
J Zeng, D Zhang, D Lu, P Mo, Z Li, Y Chen, M Rynik, L Huang, Z Li, S Shi, ...
The Journal of Chemical Physics 159 (5), 2023
642023
Supramolecular packing drives morphological transitions of charged surfactant micelles
K Schäfer, HB Kolli, M Killingmoe Christensen, SL Bore, G Diezemann, ...
Angewandte Chemie 132 (42), 18750-18757, 2020
572020
Dispersion state phase diagram of citrate-coated metallic nanoparticles in saline solutions
S Franco-Ulloa, G Tatulli, SL Bore, M Moglianetti, PP Pompa, M Cascella, ...
Nature Communications 11 (1), 5422, 2020
522020
A “short blanket” dilemma for a state-of-the-art neural network potential for water: Reproducing experimental properties or the physics of the underlying many-body interactions?
Y Zhai, A Caruso, SL Bore, Z Luo, F Paesani
The Journal of Chemical Physics 158 (8), 2023
352023
Realistic phase diagram of water from “first principles” data-driven quantum simulations
SL Bore, F Paesani
Nature communications 14 (1), 3349, 2023
28*2023
Hybrid particle-field model for conformational dynamics of peptide chains
SL Bore, G Milano, M Cascella
Journal of Chemical Theory and Computation 14 (2), 1120-1130, 2018
282018
Hybrid particle-field molecular dynamics simulations of charged amphiphiles in an aqueous environment
HB Kolli, A De Nicola, SL Bore, K Schäfer, G Diezemann, J Gauss, ...
Journal of Chemical Theory and Computation 14 (9), 4928-4937, 2018
272018
Mesoscale electrostatics driving particle dynamics in nonhomogeneous dielectrics
SL Bore, HB Kolli, T Kawakatsu, G Milano, M Cascella
Journal of Chemical Theory and Computation 15 (3), 2033-2041, 2019
212019
Aggregation of lipid A variants: A hybrid particle-field model
A De Nicola, TA Soares, DES Santos, SL Bore, GJA Sevink, M Cascella, ...
Biochimica et Biophysica Acta (BBA)-General Subjects 1865 (4), 129570, 2021
172021
Data-driven many-body potential energy functions for generic molecules: Linear alkanes as a proof-of-concept application
EF Bull-Vulpe, M Riera, SL Bore, F Paesani
Journal of Chemical Theory and Computation 19 (14), 4494-4509, 2022
162022
Hybrid particle-field molecular dynamics under constant pressure
SL Bore, HB Kolli, A De Nicola, M Byshkin, T Kawakatsu, G Milano, ...
The Journal of chemical physics 152 (18), 2020
162020
Phase diagram of the TIP4P/Ice water model by enhanced sampling simulations
SL Bore, PM Piaggi, R Car, F Paesani
The Journal of Chemical Physics 157 (5), 2022
142022
Can polarity-inverted surfactants self-assemble in nonpolar solvents?
M Carrer, T Škrbić, SL Bore, G Milano, M Cascella, A Giacometti
The Journal of Physical Chemistry B 124 (29), 6448-6458, 2020
132020
Coupling spin to velocity: collective motion of Hamiltonian polar particles
SL Bore, M Schindler, KDNT Lam, E Bertin, O Dauchot
Journal of Statistical Mechanics: Theory and Experiment 2016 (3), 033305, 2016
122016
Automated determination of hybrid particle-field parameters by machine learning
M Ledum, S Løland Bore, M Cascella
Molecular Physics 118 (19-20), e1785571, 2020
102020
Hamiltonian and alias-free hybrid particle–field molecular dynamics
SL Bore, M Cascella
The Journal of Chemical Physics 153 (9), 2020
102020
HylleraasMD: A Domain Decomposition-Based Hybrid Particle-Field Software for Multiscale Simulations of Soft Matter
M Ledum, S Sen, X Li, M Carrer, Y Feng, M Cascella, SL Bore
Journal of Chemical Theory and Computation 19 (10), 2939-2952, 2023
72023
HylleraasMD: Massively parallel hybrid particle-field molecular dynamics in Python
M Ledum, M Carrer, S Sen, X Li, M Cascella, SL Bore
Journal of Open Source Software 8 (84), 4149, 2023
42023
Soft matter under pressure: Pushing particle–field molecular dynamics to the isobaric ensemble
S Sen, M Ledum, SL Bore, M Cascella
Journal of Chemical Information and Modeling 63 (7), 2207-2217, 2023
42023
Many-body potential for simulating the self-assembly of polymer-grafted nanoparticles in a polymer matrix
Y Zhou, SL Bore, AR Tao, F Paesani, G Arya
npj Computational Materials 9 (1), 224, 2023
32023
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