Balazs, D., &; Ibáñez, M. (2023). Widening the use of 3D printing. Science. AAAS.https://doi.org/10.1126/science.adk3070 

Baier, C., Chatterjee, K., Meggendorfer, T., &; Piribauer, J. (2023). Entropic risk for turn-based stochastic games. In 48th International Symposium on Mathematical Foundations of Computer Science (Vol. 272). Bordeaux, France: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.MFCS.2023.15 

Boissonnat, J. D., Kachanovich, S., &; Wintraecken, M. (2023). Tracing isomanifolds in Rd in time polynomial in d using Coxeter–Freudenthal–Kuhn triangulations. SIAM Journal on Computing. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/21M1412918 

comi, L., Largeteau-Skapin, G., Zrour, R., Biswas, R., &; Andres, E. (2023). Discrete analytical objects in the body-centered cubic grid. Pattern Recognition. Elsevier.https://doi.org/10.1016/j.patcog.2023.109693 

Bunting, R., Wodaczek, F., Torabi, T., &; Cheng, B. (2023). Reactivity of single-atom alloy nanoparticles: Modeling the dehydrogenation of propane. Journal of the American Chemical Society. American Chemical Society.https://doi.org/10.1021/jacs.3c04030 

Unterweger, I. A., Klepstad, J., Hannezo, E. B., Lundegaard, P. R., Trusina, A., &; Ober, E. A. (2023). Lineage tracing identifies heterogeneous hepatoblast contribution to cell lineages and postembryonic organ growth dynamics. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.3002315 

Dodis, Y., Ferguson, N., Goldin, E., Hall, P., &; Pietrzak, K. Z. (2023). Random oracle combiners: Breaking the concatenation barrier for collision-resistance. In 43rd Annual International Cryptology Conference (Vol. 14082, pp. 514–546). Santa Barbara, CA, United States: Springer Nature.https://doi.org/10.1007/978-3-031-38545-2_17 

Leithner, A. F., Merrin, J., &; Sixt, M. K. (2023). En-Face Imaging of T Cell-Dendritic Cell Immunological Synapses. In C. Baldari &; M. Dustin (Eds.), The Immune Synapse (Vol. 2654, pp. 137–147). New York, NY: Springer Nature.https://doi.org/10.1007/978-1-0716-3135-5_9 

Diao, Y. (2023). Density of the union of positive diagonal binary quadratic forms. Acta Arithmetica. Instytut Matematyczny.https://doi.org/10.4064/aa210830-24-11 

Qiu, L., Sahu, R., Hease, W. J., Arnold, G. M., &; Fink, J. M. (2023). Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action. Nature Communications. Nature Research.https://doi.org/10.1038/s41467-023-39493-3 

Barbier, J., Camilli, F., Mondelli, M., &; Sáenz, M. (2023). Fundamental limits in structured principal component analysis and how to reach them. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.2302028120 

Vardi, O., Maroudas-Sklare, N., Kolodny, Y., Volosniev, A., Saragovi, A., Galili, N.,https://doi.org/10.1073/pnas.2300828120__Paltiel, Y. (2023). Nuclear spin effects in biological processes. Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences.https://doi.org/10.1073/pnas.2300828120 

Dubach, G., &; Erdös, L. (2023). Dynamics of a rank-one perturbation of a Hermitian matrix. Electronic Communications in Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/23-ECP516 

Cipolloni, G., Erdös, L., &; Schröder, D. J. (2023). Functional central limit theorems for Wigner matrices. Annals of Applied Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/22-AAP1820 

Browning, T. D., Boudec, P. L., &; Sawin, W. (2023). The Hasse principle for random Fano hypersurfaces. Annals of Mathematics. Princeton University.https://doi.org/10.4007/annals.2023.197.3.3 

Mckerral, J. C., Kleshnina, M., Ejov, V., Bartle, L., Mitchell, J. G., &; Filar, J. A. (2023). Empirical parameterisation and dynamical analysis of the allometric Rosenzweig-MacArthur equations. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0279838 

Eguchi, K., Le Monnier, E., &; Shigemoto, R. (2023). Nanoscale phosphoinositide distribution on cell membranes of mouse cerebellar neurons. The Journal of Neuroscience. Society for Neuroscience.https://doi.org/10.1523/JNEUROSCI.1514-22.2023 

Bonolis, D., &; Browning, T. D. (2023). Uniform bounds for rational points on hyperelliptic fibrations. Annali Della Scuola Normale Superiore Di Pisa - Classe Di Scienze. Scuola Normale Superiore - Edizioni della Normale.https://doi.org/10.2422/2036-2145.202010_018 

Confavreux, B. J. (2023). Synapseek: Meta-learning synaptic plasticity rules. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14422 

Roos, B. (2023). Boundary superconductivity in BCS theory. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:14374 

Hainzl, C., Roos, B., &; Seiringer, R. (2023). Boundary superconductivity in the BCS model. Journal of Spectral Theory. EMS Press.https://doi.org/10.4171/JST/439 

Barton, N. H., Etheridge, A. M., &; Véber, A. (2023). The infinitesimal model with dominance. Genetics. Oxford Academic.https://doi.org/10.1093/genetics/iyad133 

Barton, N. H. (2023). The infinitesimal model with dominance. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12949 

Markov, I., Vladu, A., Guo, Q., &; Alistarh, D.-A. (2023). Quantized distributed training of large models with convergence guarantees. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 24020–24044). Honolulu, Hawaii, HI, United States: ML Research Press.

Fichtenberger, H., Henzinger, M. H., &; Upadhyay, J. (2023). Constant matters: Fine-grained error bound on differentially private continual observation. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10072–10092). Honolulu, Hawaii, HI, United States: ML Research Press.

Shevchenko, A., Kögler, K., Hassani, H., &; Mondelli, M. (2023). Fundamental limits of two-layer autoencoders, and achieving them with gradient methods. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 31151–31209). Honolulu, Hawaii, HI, United States: ML Research Press.

Nikdan, M., Pegolotti, T., Iofinova, E. B., Kurtic, E., &; Alistarh, D.-A. (2023). SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 26215–26227). Honolulu, Hawaii, HI, United States: ML Research Press.

Hoffmann, C., &; Simkin, M. (2023). Stronger lower bounds for leakage-resilient secret sharing. In 8th International Conference on Cryptology and Information Security in Latin America (Vol. 14168, pp. 215–228). Quito, Ecuador: Springer Nature.https://doi.org/10.1007/978-3-031-44469-2_11 

Frantar, E., &; Alistarh, D.-A. (2023). SparseGPT: Massive language models can be accurately pruned in one-shot. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 10323–10337). Honolulu, Hawaii, HI, United States: ML Research Press.

Cornalba, F., Disselkamp, C., Scassola, D., &; Helf, C. (2023). Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural Computing and Applications. Springer Nature.https://doi.org/10.1007/s00521-023-09033-7 

Rojas Vega, M. N., De Castro, P., &; Soto, R. (2023). Mixtures of self-propelled particles interacting with asymmetric obstacles. The European Physical Journal E. Springer Nature.https://doi.org/10.1140/epje/s10189-023-00354-y 

Kwan, M. A., Sah, A., Sawhney, M., &; Simkin, M. (2023). Substructures in Latin squares. Israel Journal of Mathematics. Springer Nature.https://doi.org/10.1007/s11856-023-2513-9 

Henzinger, T. A., Kueffner, K., &; Mallik, K. (2023). Monitoring algorithmic fairness under partial observations. In 23rd International Conference on Runtime Verification (Vol. 14245, pp. 291–311). Thessaloniki, Greece: Springer Nature.https://doi.org/10.1007/978-3-031-44267-4_15 

Jakubík, J., Phuong, M., Chvosteková, M., &; Krakovská, A. (2023). Against the flow of time with multi-output models. Measurement Science Review. Sciendo.https://doi.org/10.2478/msr-2023-0023 

Schumann, G., Andreassen, O. A., Banaschewski, T., Calhoun, V. D., Clinton, N., Desrivieres, S.,https://doi.org/10.1001/jamapsychiatry.2023.2996__Westlye, L. (2023). Addressing global environmental challenges to mental health using population neuroscience: A review. JAMA Psychiatry. American Medical Association.https://doi.org/10.1001/jamapsychiatry.2023.2996 

Brooks, M., &; Seiringer, R. (2023). The Fröhlich Polaron at strong coupling: Part I - The quantum correction to the classical energy. Communications in Mathematical Physics. Springer Nature.https://doi.org/10.1007/s00220-023-04841-3 

Kolmogorov, V. (2023). Solving relaxations of MAP-MRF problems: Combinatorial in-face Frank-Wolfe directions. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 2023, pp. 11980–11989). Vancouver, Canada: IEEE.https://doi.org/10.1109/CVPR52729.2023.01153 

Lyons, D. B., Briffa, A., He, S., Choi, J., Hollwey, E., Colicchio, J.,https://doi.org/10.1016/j.celrep.2023.112132__Zilberman, D. (2023). Extensive de novo activity stabilizes epigenetic inheritance of CG methylation in Arabidopsis transposons. Cell Reports. Elsevier.https://doi.org/10.1016/j.celrep.2023.112132 

Mitrouskas, D. J., Mysliwy, K., &; Seiringer, R. (2023). Optimal parabolic upper bound for the energy-momentum relation of a strongly coupled polaron. Forum of Mathematics. Cambridge University Press.https://doi.org/10.1017/fms.2023.45 

Kicheva, A., &; Briscoe, J. (2023). Control of tissue development by morphogens. Annual Review of Cell and Developmental Biology. Annual Reviews.https://doi.org/10.1146/annurev-cellbio-020823-011522 

Rao, P., Mallikarjun, B. R., Fox, G., Weyrich, T., Bickel, B., Pfister, H.,https://doi.org/10.1007/s11263-023-01899-3__Elgharib, M. (2023). A deeper analysis of volumetric relightiable faces. International Journal of Computer Vision. Springer Nature.https://doi.org/10.1007/s11263-023-01899-3 

Buri, P., Fatichi, S., Shaw, T., Miles, E. S., McCarthy, M., Fyffe, C. L.,https://doi.org/10.1029/2022WR033841__Pellicciotti, F. (2023). Land surface modeling in the Himalayas: On the importance of evaporative fluxes for the water balance of a high-elevation catchment. Water Resources Research. Wiley.https://doi.org/10.1029/2022WR033841 

Aksenov, V., Anoprenko, M., Fedorov, A., &; Spear, M. (2023). Brief announcement: BatchBoost: Universal batching for concurrent data structures. In 37th International Symposium on Distributed Computing (Vol. 281). L’Aquila, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.DISC.2023.35 

Koutentakis, G., Ghazaryan, A., &; Lemeshko, M. (2023). Rotor lattice model of ferroelectric large polarons. Physical Review Research. American Physical Society.https://doi.org/10.1103/PhysRevResearch.5.043016 

Fiedler, L., &; Friml, J. (2023). Rapid auxin signaling: Unknowns old and new. Current Opinion in Plant Biology. Elsevier.https://doi.org/10.1016/j.pbi.2023.102443 

Buri, P., Fatichi, S., Shaw, T., Miles, E., McCarthy, M., Fyffe, C. L.,https://doi.org/10.5281/ZENODO.8402426__Pellicciotti, F. (2023). Model output data to “Land surface modeling in the Himalayas: on the importance of evaporative fluxes for the water balance of a high elevation catchment.”https://doi.org/10.5281/ZENODO.8402426__Zenodo.https://doi.org/10.5281/ZENODO.8402426 

Kwan, M. A., Sah, A., Sauermann, L., &; Sawhney, M. (2023). Anticoncentration in Ramsey graphs and a proof of the Erds–McKay conjecture. Forum of Mathematics, Pi. Cambridge University Press.https://doi.org/10.1017/fmp.2023.17 

Praetorius, F. M., Leung, P. J. Y., Tessmer, M. H., Broerman, A., Demakis, C., Dishman, A. F.,https://doi.org/10.1126/science.adg7731__Baker, D. (2023). Design of stimulus-responsive two-state hinge proteins. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.adg7731 

Edman, N. I., Redler, R. L., Phal, A., Schlichthaerle, T., Srivatsan, S. R., Etemadi, A.,https://doi.org/10.1101/2023.03.14.532666__Baker, D. (n.d.). Modulation of FGF pathway signaling and vascular differentiation using designed oligomeric assemblies. bioRxiv.https://doi.org/10.1101/2023.03.14.532666 

Mistakidis, S. I., Volosniev, A., Barfknecht, R. E., Fogarty, T., Busch, T., Foerster, A.,https://doi.org/10.1016/j.physrep.2023.10.004__Zinner, N. T. (2023). Few-body Bose gases in low dimensions - A laboratory for quantum dynamics. Physics Reports. Elsevier.https://doi.org/10.1016/j.physrep.2023.10.004 

Klausen, F. R., &; Lauritsen, A. B. (2023). Research data for: A stochastic cellular automaton model of culture formation. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:12869 

Klausen, F. R., &; Lauritsen, A. B. (2023). Stochastic cellular automaton model of culture formation. Physical Review E. American Physical Society.https://doi.org/10.1103/PhysRevE.108.054307 

Beaver, D., Kelkar, M., Lewi, K., Nikolaenko, V., Sonnino, A., Chalkias, K.,https://doi.org/10.4230/LIPIcs.AFT.2023.7__Roy, A. (2023). STROBE: Streaming Threshold Random Beacons. In 5th Conference on Advances in Financial Technologies (Vol. 282). Princeton, NJ, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.AFT.2023.7 

Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., &; Fink, J. M. (2023). Compact vacuum-gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Physical Review Applied. American Physical Society.https://doi.org/10.1103/PhysRevApplied.20.044054 

Reinhardt, M., Tkadik, G., &; Ten Wolde, P. R. (2023). Path weight sampling: Exact Monte Carlo computation of the mutual information between stochastic trajectories. Physical Review X. American Physical Society.https://doi.org/10.1103/PhysRevX.13.041017 

Binysh, J., Chakraborty, I., Chubynsky, M. V., Diaz Melian, V. L., Waitukaitis, S. R., Sprittles, J. E., &; Souslov, A. (2023). Modeling Leidenfrost levitation of soft elastic solids. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.131.168201 

Binysh, J., Chakraborty, I., Chubynsky, M., Diaz Melian, V. L., Waitukaitis, S. R., Sprittles, J., &; Souslov, A. (2023). SouslovLab/PRL2023-ModellingLeidenfrostLevitationofSoftElasticSolids: .0.1. Zenodo.https://doi.org/10.5281/ZENODO.8329143 

Avni, G., Meggendorfer, T., Sadhukhan, S., Tkadlec, J., &; Zikelic, D. (2023). Reachability poorman discrete-bidding games. In Frontiers in Artificial Intelligence and Applications (Vol. 372, pp. 141–148). Krakow, Poland: IOS Press.https://doi.org/10.3233/FAIA230264 

Degen, M., Santos, J. C., Pluhackova, K., Cebrero, G., Ramos, S., Jankevicius, G.,https://doi.org/10.1038/s41586-023-05991-z__Hiller, S. (2023). Structural basis of NINJ1-mediated plasma membrane rupture in cell death. Nature. Springer Nature.https://doi.org/10.1038/s41586-023-05991-z 

Farag, N. L., Jethwa, R. B., Beardmore, A. E., Insinna, T., O’Keefe, C. A., Klusener, P. A. A.,https://doi.org/10.1002/cssc.202300128__Wright, D. S. (2023). Triarylamines as catholytes in aqueous organic redox flow batteries. ChemSusChem. Wiley.https://doi.org/10.1002/cssc.202300128 

Hernandez, J.-A., Bethkenhagen, M., Ninet, S., French, M., Benuzzi-Mounaix, A., Datchi, F.,https://doi.org/10.1038/s41567-023-02074-8__Ravasio, A. (2023). Melting curve of superionic ammonia at planetary interior conditions. Nature Physics. Springer Nature.https://doi.org/10.1038/s41567-023-02074-8 

Helson, V., Zwettler, T., Mivehvar, F., Colella, E., Roux, K. E. R., Konishi, H.,https://doi.org/10.1038/s41586-023-06018-3__Brantut, J. P. (2023). Density-wave ordering in a unitary Fermi gas with photon-mediated interactions. Nature. Springer Nature.https://doi.org/10.1038/s41586-023-06018-3 

Feliciangeli, D., Gerolin, A., &; Portinale, L. (2023). A non-commutative entropic optimal transport approach to quantum composite systems at positive temperature. Journal of Functional Analysis. Elsevier.https://doi.org/10.1016/j.jfa.2023.109963 

Hua, B., Keller, M., Schwarz, M., &; Wirth, M. (2023). Sobolev-type inequalities and eigenvalue growth on graphs with finite measure. Proceedings of the American Mathematical Society. American Mathematical Society.https://doi.org/10.1090/proc/14361 

Bhattacharya, S., Henzinger, M. H., Nanongkai, D., &; Wu, X. (2023). Deterministic near-optimal approximation algorithms for dynamic set cover. SIAM Journal on Computing. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/21M1428649 

Ansaripour, M., Chatterjee, K., Henzinger, T. A., Lechner, M., &; Zikelic, D. (2023). Learning provably stabilizing neural controllers for discrete-time stochastic systems. In 21st International Symposium on Automated Technology for Verification and Analysis (Vol. 14215, pp. 357–379). Singapore, Singapore: Springer Nature.https://doi.org/10.1007/978-3-031-45329-8_17 

Cornalba, F., &; Shardlow, T. (2023). The regularised inertial Dean’ Kawasaki equation: Discontinuous Galerkin approximation and modelling for low-density regime. ESAIM: Mathematical Modelling and Numerical Analysis. EDP Sciences.https://doi.org/10.1051/m2an/2023077 

Berdan, E. L., Barton, N. H., Butlin, R., Charlesworth, B., Faria, R., Fragata, I.,https://doi.org/10.1111/jeb.14242__Flatt, T. (2023). How chromosomal inversions reorient the evolutionary process. Journal of Evolutionary Biology. Wiley.https://doi.org/10.1111/jeb.14242 

Riedl, M., &; Sixt, M. K. (2023). The excitable nature of polymerizing actin and the Belousov-Zhabotinsky reaction. Frontiers in Cell and Developmental Biology. Frontiers.https://doi.org/10.3389/fcell.2023.1287420 

Kaiyrzhanov, R., Rad, A., Lin, S.-J., Bertoli-Avella, A., Kallemeijn, W. W., Godwin, A.,https://doi.org/10.1093/brain/awad380__Maroofian, R. (2023). Bi-allelic ACB variants lead to a neurodevelopmental syndrome with progressive and complex movement disorders. Brain. Oxford University Press.https://doi.org/10.1093/brain/awad380 

Henheik, S. J., Lauritsen, A. B., &; Roos, B. (2023). Universality in low-dimensional BCS theory. Reviews in Mathematical Physics. World Scientific Publishing.https://doi.org/10.1142/s0129055x2360005x 

Fedotova, E., Kuznetsov, N., Tiunov, E., Ulanov, A. E., &; Lvovsky, A. I. (2023). Continuous-variable quantum tomography of high-amplitude states. Physical Review A. American Physical Society.https://doi.org/10.1103/PhysRevA.108.042430 

Dikranjan, D., Giordano Bruno, A., &; Zava, N. (2023). Epimorphisms and closure operators of categories of semilattices. Quaestiones Mathematicae. Taylor &; Francis.https://doi.org/10.2989/16073606.2023.2247731 

Robinson, M. L., Hahn, P. G., Inouye, B. D., Underwood, N., Whitehead, S. R., Abbott, K. C.,https://doi.org/10.1126/science.adh8830__Wetzel, W. C. (2023). Plant size, latitude, and phylogeny explain within-population variability in herbivory. Science. AAAS.https://doi.org/10.1126/science.adh8830 

Briffa, A., Hollwey, E., Shahzad, Z., Moore, J. D., Lyons, D. B., Howard, M., &; Zilberman, D. (2023). Millennia-long epigenetic fluctuations generate intragenic DNA methylation variance in Arabidopsis populations. Cell Systems. Elsevier.https://doi.org/10.1016/j.cels.2023.10.007 

Wetzel, W. (2023). HerbVar-Network/HV-Large-Patterns-MS-public: .0.0. Zenodo.https://doi.org/10.5281/ZENODO.8133117 

Fäßler, F., Javoor, M., Datler, J., Döring, H., Hofer, F., Dimchev, G. A.,https://doi.org/10.1126/sciadv.add6495__Schur, F. K. (2023). Arp isoforms regulate Ar/3 complex–dependent protrusion through differential Ena/VASP positioning. Science Advances. American Association for the Advancement of Science.https://doi.org/10.1126/sciadv.add6495 

Schur, F. K. (2023). Research data of the publication “Arp isoforms regulate Ar/3 complex-dependent protrusion through differential Ena/VASP positioning.”https://doi.org/10.15479/AT:ISTA:14562__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:14562 

Dimchev, G. A., Amiri, B., Fäßler, F., Falcke, M., &; Schur, F. K. (2023). Computational toolbox for ultrastructural quantitative analysis of filament networks in cryo-ET data. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:14502 

Kroll, J., Hauschild, R., Kuznetcov, A., Stefanowski, K., Hermann, M. D., Merrin, J.,https://doi.org/10.15252/embj.2023114557__Renkawitz, J. (2023). Adaptive pathfinding by nucleokinesis during amoeboid migration. EMBO Journal. Embo Press.https://doi.org/10.15252/embj.2023114557 

Bussi, C., Mangiarotti, A., Vanhille-Campos, C. E., Aylan, B., Pellegrino, E., Athanasiadi, N.,https://doi.org/10.1038/s41586-023-06726-w__Gutierrez, M. G. (2023). Stress granules plug and stabilize damaged endolysosomal membranes. Nature. Springer Nature.https://doi.org/10.1038/s41586-023-06726-w 

Vanhille-Campos, C. E., &; Sari, A. (2023). Stress granules plug and stabilize damaged endolysosomal membranes. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:14472 

Cikes, D., Elsayad, K., Sezgin, E., Koitai, E., Ferenc, T., Orthofer, M.,https://doi.org/10.1038/s42255-023-00766-2__Penninger, J. M. (2023). PCY-regulated lipid biosynthesis is critical to muscle health and ageing. Nature Metabolism. Springer Nature.https://doi.org/10.1038/s42255-023-00766-2 

Ouyang, N., Zeng, Z., Wang, C., Wang, Q., &; Chen, Y. (2023). Role of high-order lattice anharmonicity in the phonon thermal transport of silver halide AgX (X=Cl,Br, I). Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.108.174302 

Das, S., Xiang, Z., Kokoris Kogias, E., &; Ren, L. (2023). Practical asynchronous high-threshold distributed key generation and distributed polynomial sampling. In 32nd USENIX Security Symposium (Vol. 8, pp. 5359–5376). Anaheim, CA, United States: Usenix.

Reinhardt, A., Chew, P. Y., &; Cheng, B. (2023). A streamlined molecular-dynamics workflow for computing solubilities of molecular and ionic crystals. Journal of Chemical Physics. AIP Publishing.https://doi.org/10.1063/5.0173341 

Toups, M. A., &; Vicoso, B. (2023). The X chromosome of insects likely predates the origin of class Insecta. Evolution. Oxford University Press.https://doi.org/10.1093/evolut/qpad169 

Toups, M. A., &; Vicoso, B. (2023). The X chromosome of insects likely predates the origin of Class Insecta. Dryad.https://doi.org/10.5061/DRYAD.HX3FFBGKT 

Toups, M. A., &; Vicoso, B. (2023). The X chromosome of insects likely predates the origin of Class Insecta. Zenodo.https://doi.org/10.5281/ZENODO.8138705 

Cheng, B. (2023). BingqingCheng/solubility: .0. Zenodo.https://doi.org/10.5281/ZENODO.8398094 

Khouider, B., GOSWAMI, B. B., Phani, R., &; Majda, A. J. (2023). A shallowdeep unified stochastic mass flux cumulus parameterization in the single column community climate model. Journal of Advances in Modeling Earth Systems. American Geophysical Union.https://doi.org/10.1029/2022ms003391 

Mujica, N., &; Waitukaitis, S. R. (2023). Accurate determination of the shapes of granular charge distributions. Physical Review E. American Physical Society.https://doi.org/10.1103/PhysRevE.107.034901 

Schmid, S., Svoboda, J., &; Yeo, M. X. (2023). Weighted packet selection for rechargeable links in cryptocurrency networks: Complexity and approximation. In SIROCCO 2023: Structural Information and Communication Complexity  (Vol. 13892, pp. 576–594). Alcala de Henares, Spain: Springer Nature.https://doi.org/10.1007/978-3-031-32733-9_26 

Yeo, M. X. (2023). Advances in efficiency and privacy in payment channel network analysis. Institute of Science and Technology Austria.https://doi.org/10.15479/14506 

Avarikioti, Z., Lizurej, T., Michalak, T., &; Yeo, M. X. (2023). Lightning creation games. In 43rd International Conference on Distributed Computing Systems (Vol. 2023, pp. 603–613). Hong Kong, China: IEEE.https://doi.org/10.1109/ICDCS57875.2023.00037 

Riedl, M. (2023). Synchronization in collectively moving active matter. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:12726 

Riedl, M. (2023). Synchronization in collectively moving active matter. Institute of Science and Technology Austria.https://doi.org/10.15479/14530 

Phan, D. T. (2023). Resonant microwave spectroscopy of Al-InAs. Institute of Science and Technology Austria.https://doi.org/10.15479/14547 

Phan, D. T., Falthansl-Scheinecker, P., Mishra, U., Strickland, W. M., Langone, D., Shabani, J., &; Higginbotham, A. P. (2023). Gate-tunable superconductor-semiconductor parametric amplifier. Physical Review Applied. American Physical Society.https://doi.org/10.1103/PhysRevApplied.19.064032 

Gnyliukh, N., Johnson, A. J., Nagel, M.-K., Monzer, A., Hlavata, A., Isono, E.,https://doi.org/10.1101/2023.10.09.561523__Friml, J. (n.d.). Role of dynamin-related proteins 2 and S in clathrin-mediated endocytosis in plants. bioRxiv.https://doi.org/10.1101/2023.10.09.561523