Preprints (*trainee)

  1. S Anand*, X Ma, S Guo, S. Martiniani, X Cheng, "Bacteria Through Obstacles: Unifying Fluxes, Entropy Production, and Extractable Work in Living Active Matter", arXiv preprint arXiv:2308.08421 (2023)
    • S. Rawat*, S. Martiniani, “Explicit Rational Function Solutions for the Power Spectral Density of Stochastic Linear Time-Invariant Systems”, arXiv preprint arXiv:2305.19890 (2023)
      • A. Shih*, M. Casiulis*, S. Martiniani, “Fast Generation of Spectrally-Shaped Disorder”, arXiv preprint arXiv:2305.15693 (2023)


      1. J. A. Vita*, E. G. Fuemmeler*, A. Gupta*, G.P. Wolfe*, A. Q. Tao*, R. S. Elliott, S. Martiniani, E. B. Tadmor, “ColabFit Exchange: open-access datasets for data-driven interatomic potentials”, J. Chem. Phys. 159, 154802 (2023)
        • A. W. Golinski*, Z. D. Schmitz*, G. H. Nielsen, B. Johnson*, D. Saha*, S. Appiah*, B. J. Hackel, S. Martiniani, “Predicting and Interpreting Protein Developability via Transfer of Convolutional Sequence Representation”, ACS Synthetic Biology 12 (9), 2600-2615
          • S. Martiniani, “Bit-propelled active matter”, Journal Club for Condensed Matter Physics, March 2023. DOI: 10.36471/JCCM_March_2023_03.
            • M. Casiulis*, S. Martiniani, “When you can’t count sample! Computable entropies beyond equilibrium from basin volumes”, Papers in Physics, 15, 150001 (2023).
              • Invited perspective in “Focus Series on Challenges in Granular Matter”, Editors: K. Daniels, L. Pugnaloni, J. Zhao.
            • C. Anzivino, M. Casiulis*, T. Zhang,* A. S. Moussa, S. Martiniani, A. Zaccone, “Estimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding”, J. Chem. Phys., 158, 044901 (2023)
              • S. Ro, B. Guo, A. Shih*, T.V. Phan, R.H. Austin, D. Levine, P.M. Chaikin, S. Martiniani, “Model-Free Measurement of Local Entropy Production and Extractable Work in Active Matter”, Phys. Rev. Lett. 129, 220601 (2022).
                • Cover article for Phys. Rev. Lett.
                • Highlighted as Editor's Suggestion in Phys. Rev. Lett.
                • Highlighted in “ Viewpoint: Measuring Entropy in Active-Matter Systems”, Physics 15, 179 (2022)
              • A. W. Golinski*, K. M. Mischler, S. Laxminarayan, N. Neurock, M. Fossing, H. Pichman, S. Martiniani, B. J. Hackel, “High-Throughput Developability Assays Enable Library-Scale Identification of Producible Protein Scaffold Variants”, Proc. Natl. Acad. Sci., 118, 23 (2021)
                • A. Cavagna, P. M. Chaikin, D. Levine, S. Martiniani, A. Puglisi, M. Viale, “Vicsek Model by Time-Interlaced Compression: a Dynamical Computable Information Density”, Phys. Rev. E 103, 062141 (2021)
                  • S. Martiniani, Y. Lemberg, P. M. Chaikin, D. Levine, “Correlation lengths in the language of computable information”, Phys. Rev. Lett., 125, 170601 (2020)
                    • S. Martiniani, P. M. Chaikin, D. Levine, “Quantifying hidden order out of equilibrium”, Phys. Rev. X, 9, 011031 (2019)
                    • S. Martiniani, K. J. Schrenk, K. Ramola, B. Chakraborty, D. Frenkel, “Numerical test of the Edwards conjecture shows that all packings become equally probable at jamming”, Nature Physics, 13, 848-851 (2017)
                    • D. Frenkel, K. J. Schrenk, S. Martiniani, “Monte Carlo sampling for stochastic weight functions”, Proc. Natl. Acad. Sci., 114, 27 (2017)
                      • A. J. Ballard, R. Das, S. Martiniani, D. Mehta, L. Sagun, J. D. Stevenson, D. J. Wales, “Energy Landscapes for Machine Learning”, Phys. Chem. Chem. Phys., 19, 12585 (2017)
                      • S. Martiniani, K. J. Schrenk, J. D. Stevenson, D. J. Wales, D. Frenkel, “Structural analysis of high dimensional basins of attraction”, Phys. Rev. E 94, 031301 (2016)
                        • S. Martiniani, K. J. Schrenk, J. D. Stevenson, D. J. Wales, D. Frenkel, “Turning intractable counting into sampling: computing the configurational entropy of three-dimensional jammed packings”, Phys. Rev. E 93, 012906 (2016)
                        • A. J. Ballard, S. Martiniani, J. D. Stevenson, S. Somani, D. J. Wales, “Exploiting the potential energy landscape to sample free energy”, WIREs Comput. Mol. Sci. 5, 273 (2015)
                          • S. Martiniani, J. D. Stevenson, D. J. Wales, D. Frenkel, “Superposition Enhanced Nested Sampling”, Phys. Rev. X 4, 031034 (2014)
                            • C. Magistris†, S. Martiniani†, N. Barbero, J. Park, C. Benzi, A. Anderson, C. H. Law, C. Barolo, B. C. O'Regan, “Near-infrared absorbing squaraine dye with extended π conjugation for dye-sensitized solar cells”, Renewable Energy 60, 672 (2013)
                              • C. E. Richards, A. Y. Anderson, S. Martiniani, C. Law, B. C. O'Regan, “The Mechanism of Iodine Reduction by TiO2 Electrons and the Kinetics of Recombination in Dye-Sensitized Solar Cells”, J. Phys. Chem. Lett. 3, 1980 (2012)
                                • S. Martiniani, A. Y. Anderson, C. Law, B. C. O'Regan and C. Barolo, “New insight into the regeneration kinetics of dye sensitised solar cells”, Chem. Commun. 48, 2406 (2012)

                                  Ph.D. Theses

                                  1. A. Golinsky*, "Data-driven approach to engineering protein evolvability and developability", University of Minnesota (2021)
                                    • S. Martiniani "On the complexity of energy landscapes: algorithms and a direct test of the Edwards conjecture", University of Cambridge (2017)