Pak, M. A., Markhieva, K. A., Novikova, M. S., Petrov, D. S., Vorobyev, I. S., Maksimova, E.,https://doi.org/10.1371/journal.pone.0282689__Ivankov, D. N. (2023). Using AlphaFold to predict the impact of single mutations on protein stability and function. PLoS ONE. Public Library of Science.https://doi.org/10.1371/journal.pone.0282689 

Sazanov, L. A. (2023). From the ack box”https://doi.org/10.1042/BCJ20210285__to mino effect”https://doi.org/10.1042/BCJ20210285__mechanism: What have we learned from the structures of respiratory complex I. The Biochemical Journal. Portland Press.https://doi.org/10.1042/BCJ20210285 

Svoboda, J., Tkadlec, J., Kaveh, K., &; Chatterjee, K. (2023). Coexistence times in the Moran process with environmental heterogeneity. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. The Royal Society.https://doi.org/10.1098/rspa.2022.0685 

Karle, V., Ghazaryan, A., &; Lemeshko, M. (2023). Topological charges of periodically kicked molecules. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.130.103202 

Ghazaryan, A., Holder, T., Berg, E., &; Serbyn, M. (2023). Multilayer graphenes as a platform for interaction-driven physics and topological superconductivity. Physical Review B. American Physical Society.https://doi.org/10.1103/PhysRevB.107.104502 

Clark Di Leoni, P., Agasthya, L. N., Buzzicotti, M., &; Biferale, L. (2023). Reconstructing Rayleigh–Bénard flows out of temperature-only measurements using Physics-Informed Neural Networks. The European Physical Journal E. Springer Nature.https://doi.org/10.1140/epje/s10189-023-00276-9 

Huljev, K., Shamipour, S., Nunes Pinheiro, D. C., Preusser, F., Steccari, I., Sommer, C. M.,https://doi.org/10.1016/j.devcel.2023.02.016__Heisenberg, C.-P. J. (2023). A hydraulic feedback loop between mesendoderm cell migration and interstitial fluid relocalization promotes embryonic axis formation in zebrafish. Developmental Cell. Elsevier.https://doi.org/10.1016/j.devcel.2023.02.016 

Zeng, Z., Yakaboylu, E., Lemeshko, M., Shi, T., &; Schmidt, R. (2023). Variational theory of angulons and their rotational spectroscopy. The Journal of Chemical Physics. American Institute of Physics.https://doi.org/10.1063/5.0135893 

Ljubotina, M., Desaules, J. Y., Serbyn, M., &; Papi, Z. (2023). Superdiffusive energy transport in kinetically constrained models. Physical Review X. American Physical Society.https://doi.org/10.1103/PhysRevX.13.011033 

He, R., Yang, L., Zhang, Y., Wang, X., Lee, S., Zhang, T.,https://doi.org/10.1016/j.ensm.2023.03.022__Cabot, A. (2023). A CrMnFeCoNi high entropy alloy boosting oxygen evolution/reduction reactions and zinc-air battery performance. Energy Storage Materials. Elsevier.https://doi.org/10.1016/j.ensm.2023.03.022 

Martinet, Q., Aubret, A., &; Palacci, J. A. (2023). Rotation control, interlocking, and selfpositioning of active cogwheels. Advanced Intelligent Systems. Wiley.https://doi.org/10.1002/aisy.202200129 

Brandstätter, T., Brückner, D., Han, Y. L., Alert, R., Guo, M., &; Broedersz, C. P. (2023). Curvature induces active velocity waves in rotating spherical tissues. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-37054-2 

Sokolova, A., Kalacheva, D. A., Fedorov, G. P., &; Astafiev, O. V. (2023). Overcoming photon blockade in a circuit-QED single-atom maser with engineered metastability and strong coupling. Physical Review A. American Physical Society.https://doi.org/10.1103/PhysRevA.107.L031701 

Schmid, L., Ekbatani, F., Hilbe, C., &; Chatterjee, K. (2023). Quantitative assessment can stabilize indirect reciprocity under imperfect information. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-023-37817-x 

Safavi, S., Panagiotaropoulos, T. I., Kapoor, V., Ramirez Villegas, J. F., Logothetis, N. K., &; Besserve, M. (2023). Uncovering the organization of neural circuits with Generalized Phase Locking Analysis. PLoS Computational Biology. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1010983 

Chen, K., Kunkel, C., Cheng, B., Reuter, K., &; Margraf, J. T. (2023). Physics-inspired machine learning of localized intensive properties. Chemical Science. Royal Society of Chemistry.https://doi.org/10.1039/d3sc00841j 

Jiang, L., Yao, B., Zhang, X., Wu, L., Fu, Q., Zhao, Y.,https://doi.org/10.1111/tpj.16218__Du, Y. (2023). Salicylic acid inhibits rice endocytic protein trafficking mediated by OsPIN3t and clathrin to affect root growth. Plant Journal. Wiley.https://doi.org/10.1111/tpj.16218 

Benes, N., Brim, L., Huvar, O., Pastva, S., &; Safránek, D. (2023). Boolean network sketches: A unifying framework for logical model inference. Bioinformatics. Oxford Academic.https://doi.org/10.1093/bioinformatics/btad158 

Kaneshiro, J. M., Capitanio, J. S., &; Hetzer, M. (2023). Laminhttps://doi.org/10.1080/19491034.2023.2202548__overexpression alters chromatin organization and gene expression. Nucleus. Taylor &; Francis.https://doi.org/10.1080/19491034.2023.2202548 

Suzuki, F., &; Unruh, W. G. (2023). Numerical quantum clock simulations for measuring tunneling times. Physical Review A. American Physical Society.https://doi.org/10.1103/PhysRevA.107.042216