Cheng, B., Ceriotti, M., &; Tribello, G. A. (2020). Classical nucleation theory predicts the shape of the nucleus in homogeneous solidification. The Journal of Chemical Physics. AIP Publishing.https://doi.org/10.1063/1.5134461 
LibreCat: https://research-explorer.ista.ac.at/record/9658
DOI: 10.1063/1.5134461
PMID: 32007057
arXiv: 1910.13481

Cheng, B., &; Frenkel, D. (2020). Computing the heat conductivity of fluids from density fluctuations. Physical Review Letters. American Physical Society.https://doi.org/10.1103/physrevlett.125.130602 
LibreCat: https://research-explorer.ista.ac.at/record/9664
DOI: 10.1103/physrevlett.125.130602
PMID: 33034481
arXiv: 2005.07562

Cheng, B., Mazzola, G., Pickard, C. J., &; Ceriotti, M. (2020). Evidence for supercritical behaviour of high-pressure liquid hydrogen. Nature. Springer Nature.https://doi.org/10.1038/s41586-020-2677-y 
LibreCat: https://research-explorer.ista.ac.at/record/9685
DOI: 10.1038/s41586-020-2677-y
PMID: 32908269
arXiv: 1906.03341

Shaw, T. E., Gascoin, S., Mendoza, P. A., Pellicciotti, F., &; McPhee, J. (2020). Snow depth patterns in a high mountain Andean catchment from satellite optical tristereoscopic remote sensing. Water Resources Research. American Geophysical Union.https://doi.org/10.1029/2019wr024880 
LibreCat: https://research-explorer.ista.ac.at/record/12598
DOI: 10.1029/2019wr024880

Shaw, T. E., Caro, A., Mendoza, P., Ayala, Á., Pellicciotti, F., Gascoin, S., &; McPhee, J. (2020). The utility of optical satellite winter snow depths for initializing a glaciohydrological model of a HighElevation, Andean catchment. Water Resources Research. American Geophysical Union.https://doi.org/10.1029/2020wr027188 
LibreCat: https://research-explorer.ista.ac.at/record/12594
DOI: 10.1029/2020wr027188

Ayala, Á., Farías-Barahona, D., Huss, M., Pellicciotti, F., McPhee, J., &; Farinotti, D. (2020). Glacier runoff variations since 1955 in the Maipo River basin, in the semiarid Andes of central Chile. The Cryosphere. Copernicus Publications.https://doi.org/10.5194/tc-14-2005-2020 
LibreCat: https://research-explorer.ista.ac.at/record/12596
DOI: 10.5194/tc-14-2005-2020

Troxler, P., Ayala, Á., Shaw, T. E., Nolan, M., Brock, B. W., &; Pellicciotti, F. (2020). Modelling spatial patterns of near-surface air temperature over a decade of melt seasons on McCall Glacier, Alaska. Journal of Glaciology. Cambridge University Press.https://doi.org/10.1017/jog.2020.12 
LibreCat: https://research-explorer.ista.ac.at/record/12597
DOI: 10.1017/jog.2020.12

Yang, W., Zhao, C., Westoby, M., Yao, T., Wang, Y., Pellicciotti, F.,https://doi.org/10.3390/rs12152389__Miles, E. (2020). Seasonal dynamics of a temperate Tibetan glacier revealed by high-resolution UAV photogrammetry and in situ measurements. Remote Sensing. MDPI.https://doi.org/10.3390/rs12152389 
LibreCat: https://research-explorer.ista.ac.at/record/12595
DOI: 10.3390/rs12152389

Immerzeel, W. W., Lutz, A. F., Andrade, M., Bahl, A., Biemans, H., Bolch, T.,https://doi.org/10.1038/s41586-019-1822-y__Baillie, J. E. M. (2020). Importance and vulnerability of the world’s water towers. Nature. Springer Nature.https://doi.org/10.1038/s41586-019-1822-y 
LibreCat: https://research-explorer.ista.ac.at/record/12599
DOI: 10.1038/s41586-019-1822-y

Herreid, S., &; Pellicciotti, F. (2020). The state of rock debris covering Earth’s glaciers. Nature Geoscience. Springer Nature.https://doi.org/10.1038/s41561-020-0615-0 
LibreCat: https://research-explorer.ista.ac.at/record/12593
DOI: 10.1038/s41561-020-0615-0

Lechner, M. (2020). Learning representations for binary-classification without backpropagation. In 8th International Conference on Learning Representations. Virtualf; Addis Ababa, Ethiopia: ICLR.
LibreCat: https://research-explorer.ista.ac.at/record/10672

Henderson, P. M., &; Lampert, C. (2020). Unsupervised object-centric video generation and decomposition in 3D. In 34th Conference on Neural Information Processing Systems (Vol. 33, pp. 3106–3117). Vancouver, Canada: Curran Associates.
LibreCat: https://research-explorer.ista.ac.at/record/8188
arXiv: 2007.06705

Bloomer, R. H., Hutchison, C. E., Bäurle, I., Walker, J., Fang, X., Perera, P.,https://doi.org/10.1073/pnas.1920621117__Dean, C. (2020). The  Arabidopsis epigenetic regulator IC as an accessory protein of polycomb repressive complex 2. Proceedings of the National Academy of Sciences. Proceedings of the National Academy of Sciences.https://doi.org/10.1073/pnas.1920621117 
LibreCat: https://research-explorer.ista.ac.at/record/12188
DOI: 10.1073/pnas.1920621117
PMID: 32601198

Christophorou, N., She, W., Long, J., Hurel, A., Beaubiat, S., Idir, Y.,https://doi.org/10.1371/journal.pgen.1008894__Mézard, C. (2020). AX affects DNA methylation independently of its role in regulating meiotic crossover localization. PLOS Genetics. Public Library of Science (PLoS).https://doi.org/10.1371/journal.pgen.1008894 
LibreCat: https://research-explorer.ista.ac.at/record/12189
DOI: 10.1371/journal.pgen.1008894
PMID: 32598340

Verzobio, M. (2020). Primitive divisors of sequences associated to elliptic curves. Journal of Number Theory. Elsevier.https://doi.org/10.1016/j.jnt.2019.09.003 
LibreCat: https://research-explorer.ista.ac.at/record/12310
DOI: 10.1016/j.jnt.2019.09.003
arXiv: 1906.00632

Monserrat, B., Brandenburg, J. G., Engel, E. A., &; Cheng, B. (n.d.). Extracting ice phases from liquid water: Why a machine-learning water model generalizes so well. arXiv.https://doi.org/10.48550/arXiv.2006.13316 
LibreCat: https://research-explorer.ista.ac.at/record/9699
DOI: 10.48550/arXiv.2006.13316
arXiv: 2006.13316

Meisenbichler, C., Kluibenschedl, F., &; Müller, T. (2020). A 3-in-1 hand-held ambient mass spectrometry interface for identification and 2D localization of chemicals on surfaces. Analytical Chemistry. American Chemical Society.https://doi.org/10.1021/acs.analchem.0c02615 
LibreCat: https://research-explorer.ista.ac.at/record/12940
DOI: 10.1021/acs.analchem.0c02615
PMID: 33063994

Karg, C. A., Wang, P., Kluibenschedl, F., Müller, T., Allmendinger, L., Vollmar, A. M., &; Moser, S. (2020). Phylloxanthobilins are abundant linear tetrapyrroles from chlorophyll breakdown with activities against cancer cells. European Journal of Organic Chemistry. Wiley.https://doi.org/10.1002/ejoc.202000692 
LibreCat: https://research-explorer.ista.ac.at/record/12939
DOI: 10.1002/ejoc.202000692

Schlögl, A., Kiss, J., &; Elefante, S. (Eds.). (2020). Austrian High-Performance-Computing meeting (AH). Presented at the AHPC: Austrian High-Performance-Computing Meeting, Klosterneuburg, Austria: IST Austria.https://doi.org/10.15479/AT:ISTA:7474 
LibreCat: https://research-explorer.ista.ac.at/record/7474
DOI: 10.15479/AT:ISTA:7474

Giacobbe, M., Henzinger, T. A., &; Lechner, M. (2020). How many bits does it take to quantize your neural network? In International Conference on Tools and Algorithms for the Construction and Analysis of Systems (Vol. 12079, pp. 79–97). Dublin, Ireland: Springer Nature.https://doi.org/10.1007/978-3-030-45237-7_5 
LibreCat: https://research-explorer.ista.ac.at/record/7808
DOI: 10.1007/978-3-030-45237-7_5