Impact of strain-insensitive low-frequency phonon modes on lattice thermal transport in AxX-type perovskites
R. Cheng, Z. Zeng, C. Wang, N. Ouyang, Y. Chen, Physical Review B 109 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/15052
DOI: 10.1103/physrevb.109.054305

Pushing thermal conductivity to its lower limit in crystals with simple structures
Z. Zeng, X. Shen, R. Cheng, O. Perez, N. Ouyang, Z. Fan, P. Lemoine, B. Raveau, E. Guilmeau, Y. Chen, Nature Communications 15 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/15311
DOI: 10.1038/s41467-024-46799-3
arXiv: 2310.01838

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials
H. Dong, Y. Shi, P. Ying, K. Xu, T. Liang, Y. Wang, Z. Zeng, X. Wu, W. Zhou, S. Xiong, S. Chen, Z. Fan, Journal of Applied Physics 135 (2024).
LibreCat: https://research-explorer.ista.ac.at/record/15359
DOI: 10.1063/5.0200833
arXiv: 2401.16249

Thermodynamics of diamond formation from hydrocarbon mixtures in planets
B. Cheng, S. Hamel, M. Bethkenhagen, Nature Communications 14 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/12702
DOI: 10.1038/s41467-023-36841-1
WoS: 000939678300002
PMID: 36843123

Physics-inspired machine learning of localized intensive properties
K. Chen, C. Kunkel, B. Cheng, K. Reuter, J.T. Margraf, Chemical Science (2023).
LibreCat: https://research-explorer.ista.ac.at/record/12879
DOI: 10.1039/d3sc00841j
WoS: 000971508100001

Computing chemical potentials of adsorbed or confined fluids
R. Schmid, B. Cheng, The Journal of Chemical Physics 158 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/12912
DOI: 10.1063/5.0146711
WoS: 001010676000010
PMID: 37093149
arXiv: 2302.01297

Ab initio calculation of the reflectivity of molecular fluids under shock compression
M. French, M. Bethkenhagen, A. Ravasio, J.A. Hernandez, Physical Review B 107 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/13039
DOI: 10.1103/PhysRevB.107.134109
WoS: 000974672600001

X-ray Thomson scattering spectra from density functional theory molecular dynamics simulations based on a modified Chihara formula
M. Schörner, M. Bethkenhagen, T. Döppner, D. Kraus, L.B. Fletcher, S.H. Glenzer, R. Redmer, Physical Review E 107 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/13231
DOI: 10.1103/PhysRevE.107.065207
WoS: 001020265000002
arXiv: 2301.01545

Reactivity of single-atom alloy nanoparticles: Modeling the dehydrogenation of propane
R. Bunting, F. Wodaczek, T. Torabi, B. Cheng, Journal of the American Chemical Society 145 (2023) 14894–14902.
LibreCat: https://research-explorer.ista.ac.at/record/13216
DOI: 10.1021/jacs.3c04030
WoS: 001020623900001
PMID: 37390457

Melting curve of superionic ammonia at planetary interior conditions
J.-A. Hernandez, M. Bethkenhagen, S. Ninet, M. French, A. Benuzzi-Mounaix, F. Datchi, M. Guarguaglini, F. Lefevre, F. Occelli, R. Redmer, T. Vinci, A. Ravasio, Nature Physics 19 (2023) 1280–1285.
LibreCat: https://research-explorer.ista.ac.at/record/13118
DOI: 10.1038/s41567-023-02074-8
WoS: 000996921200001

Role of high-order lattice anharmonicity in the phonon thermal transport of silver halide AgX (X=Cl,Br, I)
N. Ouyang, Z. Zeng, C. Wang, Q. Wang, Y. Chen, Physical Review B 108 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14605
DOI: 10.1103/PhysRevB.108.174302

A streamlined molecular-dynamics workflow for computing solubilities of molecular and ionic crystals
A. Reinhardt, P.Y. Chew, B. Cheng, Journal of Chemical Physics 159 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14603
DOI: 10.1063/5.0173341
arXiv: 2308.10886

BingqingCheng/solubility: .0
B. Cheng, (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14619
DOI: 10.5281/ZENODO.8398094

Mechanistic insight on water dissociation on pristine low-index TiO2 surfaces from machine learning molecular dynamics simulations
Z. Zeng, F. Wodaczek, K. Liu, F. Stein, J. Hutter, J. Chen, B. Cheng, Nature Communications 14 (2023).
LibreCat: https://research-explorer.ista.ac.at/record/14425
DOI: 10.1038/s41467-023-41865-8
WoS: 001084354900008
PMID: 37783698
arXiv: 2303.07433

High-pressure phase behaviors of titanium dioxide revealed by a -learning potential
J.G. Lee, C.J. Pickard, B. Cheng, The Journal of Chemical Physics 156 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/10827
DOI: 10.1063/5.0079844
WoS: 000796704500014
arXiv: 2111.12968

Thermodynamics of high-pressure ice phases explored with atomistic simulations
A. Reinhardt, M. Bethkenhagen, F. Coppari, M. Millot, S. Hamel, B. Cheng, Nature Communications 13 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/11937
DOI: 10.1038/s41467-022-32374-1
WoS: 000838655300022
PMID: 35948550

BenchML: An extensible pipelining framework for benchmarking representations of materials and molecules at scale
C. Poelking, F.A. Faber, B. Cheng, Machine Learning: Science and Technology 3 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/12128
DOI: 10.1088/2632-2153/ac4d11
WoS: 000886534000001

Computing chemical potentials of solutions from structure factors
B. Cheng, The Journal of Chemical Physics 157 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/12249
DOI: 10.1063/5.0107059
WoS: 000862856000003

Ranking the information content of distance measures
A. Glielmo, C. Zeni, B. Cheng, G. Csanyi, A. Laio, PNAS Nexus 1 (2022).
LibreCat: https://research-explorer.ista.ac.at/record/9695
DOI: 10.1093/pnasnexus/pgac039
arXiv: 2104.15079