Many-body contributions to polymorphism and polyhexaticity in a water monolayer Oriol Vilanova, Giancarlo Franzese Journal of Chemical Physics, 2026 Nanoconfined water plays a crucial role in nanofluidics, biology, and cutting-edge technologies. The process of melting water monolayers and quasi-two-dimensional confined water involves, as an intermediate stage, the hexatic phase—a state that lies between solid and liquid and is characterized by quasi-long-range orientational order and short-range translational order. However, the influence of hydrogen bond (HB) cooperativity in this process has not been thoroughly investigated. This gap hampers our understanding of the phase behavior of confined water and limits the accuracy of our models. To address this, we extend the water model developed by Franzese and Stanley, which explicitly includes many-body interactions (MBIs) of HBs. We distinguish the contributions of three-body and five-body HB-MBIs. Our Monte Carlo calculations in the isobaric–isothermal ensemble produce a detailed pressure–temperature phase diagram, revealing polymorphism and polyhexaticity: low-density square ice and high-density triangular ice are separated from the liquid phase by distinct hexatic phases. Three-body interactions notably promote crystallization and can destabilize the low-density hexatic phase, while cooperative five-body interactions help restore it, thus modifying the thermodynamic landscape. These findings demonstrate that HB-MBIs are key to determining the phase behavior of confined water, influencing phenomena such as non-monotonic specific heat, maximum-density lines, and the accessibility of the liquid–liquid critical point. Beyond advancing theoretical understanding, these results have wide-ranging implications for nanofluidics, interfacial science, and applications in biology, food technology, and pharmaceutics, where controlling water under confinement is essential.
Unveiling the entropic role of hydration water in SOD1 partitioning within FUS condensate Luis Enrique Coronas, Stepan Timr, Fabio Sterpone, Giancarlo Franzese Journal of Chemical Physics, 2026 Biological processes such as the sequestration of superoxide dismutase 1 (SOD1) into biomolecular condensates, including fused in sarcoma and stress granules, are vital for understanding disease mechanisms, including amyotrophic lateral sclerosis. Moreover, protein–crowder interactions within these condensates are recognized as fundamental to cellular phase separation and disease-related processes. However, the specific role of the hydration environment in governing SOD1’s behavior and transition dynamics within these condensates remains poorly understood, limiting our ability to accurately model these critical biological systems. Therefore, we incorporate explicit water into an implicit solvent model (OPEP) to investigate how water influences SOD1’s behavior, residence times, and transition rates among associative states. We employ the advanced CVF (Coronas, Vilanova, Franzese) water model, which accurately captures hydrogen-bond networks at the molecular level. While the OPEP model indicates that bovine serum albumin (BSA) crowders reduce SOD1’s partition coefficient (PC) primarily through non-specific interactions, our explicit-water approach points to hydration entropy in BSA as a key contributor to the observed PC reduction. This result offers a new perspective on the system’s free-energy landscape, complementing those obtained from OPEP alone. Our research supports the notion that explicitly modeling water can enhance our understanding of protein–crowder interactions and their biological implications, further emphasizing the potential role of water in cellular phase separation and disease-related processes.
Adsorption of wastewater pollutants on amorphous TiO2: an atomistic simulation study Maria von Einem, Filippo Balzaretti, Manuela Romero, Wilke Dononelli, Lucio Colombi Ciacchi, Giancarlo Franzese, Susan Köppen-Hannemann Materials Advances, 2026 The increasing presence of polluting chemicals in man-made wastewater poses significant environmental and health risks. In this work, the potential for removal of selected pollutants is discussed with results of molecular dynamics simulations.
A machine learning tool to analyze spectroscopic changes in high-dimensional data Alberto Martinez-Serra, Gionni Marchetti, Francesco D’Amico, Ivana Fenoglio, Barbara Rossi, Marco P. Monopoli, Giancarlo Franzese International Journal of Biological Macromolecules, 2025 When nanoparticles (NPs) are introduced into a biological solution, layers of biomolecules form on their surface, creating a corona. Understanding how the protein's structure evolves into the corona is essential for evaluating the safety and toxicity of nanotechnology. However, the influence of NP properties on protein conformation is not well understood. In this study, we propose a new method that addresses this issue by analyzing multi-component spectral data (UV Resonance Raman, Circular Dichroism, and UV absorbance) using machine learning (ML). We apply the method to fibrinogen, a crucial protein in human blood plasma, at physiological concentrations while interacting with hydrophobic carbon or hydrophilic silicon dioxide NPs, revealing striking differences in the temperature dependence of the protein structure between the two cases. Our unsupervised ML method (a) does not suffer from the challenges associated with the curse of dimensionality, and (b) simultaneously handles spectral data from various sources. The method offers a quantitative analysis of protein structural changes upon adsorption. It enhances the understanding of the correlation between protein structure and NP interactions, which could support the development of nanomedical tools to treat various conditions.
Confinement-driven emergence of hyperuniform fluids Fabio Leoni, Giancarlo Franzese, Erdal C. Oğuz, Fausto Martelli Physical Review Research, 2025 Controlling emergent structural order in spatially constrained systems is a fundamental challenge. Using large-scale simulations of a model fluid at equilibrium conditions, we show that geometric confinement alone can stabilize fluid and hyperuniform labyrinthine phases. Moreover, confinement can induce self-assembly into distinct regimes—ranging from nonhyperuniform to antihyperuniform configurations—providing a robust mechanism for tuning spatial order. Our results identify confinement as a minimal design principle for engineering systems with target structural properties, including (anti)hyperuniformity, without relying on genetic or chemical specificity, and with broad applications in multiple disciplines and technologies.
A transferable molecular model for accurate thermodynamic studies of water in large-scale systems Luis Enrique Coronas, Oriol Vilanova, Giancarlo Franzese Journal of Molecular Liquids, 2025 Water is essential for life, and its unique properties present significant scientific challenges because of our limited understanding of its thermodynamic behavior. This knowledge gap hinders the accurate theoretical replication of water's properties across various temperatures and pressures, mainly due to the complex quantum nature of its many-body interactions. To address this challenge, we developed a novel molecular model for bulk liquid water that focuses on the hydrogen bond network and its cooperativity. We show that these factors are crucial to controlling water's thermodynamics. Our study introduces an innovative strategy to derive many-body parameters from quantum calculations, validated by advanced polarizable models and calibrated with experimental data under ambient conditions. Our results demonstrate that this model accurately predicts water's equation of state and response functions over a temperature range of approximately 60 degrees at atmospheric pressure and around 40 degrees up to 50 MPa. This quantitative validation underscores the model's reliability and transferability, providing new insights into water's cooperative fluctuations across a broader range of thermodynamic conditions than previously achieved. Moreover, our model's computational efficiency allows for scalability in simulating water droplets nearing micrometer sizes without extensive computational resources or long simulation times. This breakthrough holds significant theoretical and technological implications, opening avenues for advanced research across various scientific fields and applications. • The CVF water model includes cooperativity with ab initio-based parametrization. • Reliable: thermodynamically accurate for liquid water up to 50 MPa. • Efficient: for parallel Monte Carlo algorithms. • Scalable: up to 10 million water molecules on a GPU. • Transferable: even in the supercooled region.
Efficient parallel algorithms for Monte Carlo simulations of millions of water molecules in the fluid phase Luis Enrique Coronas, Oriol Vilanova, Giancarlo Franzese Frontiers in Nanotechnology, 2025 Simulating water droplets made up of millions of molecules and on timescales as needed in biological and technological applications is challenging due to the difficulty of balancing accuracy with computational capabilities. Most detailed descriptions, such as ab initio, polarizable, or rigid models, are typically constrained to a few hundred (for ab initio) or thousands of molecules (for rigid models). Recent machine learning approaches allow for the simulation of up to 4 million molecules with ab initio accuracy but only for tens of nanoseconds, even if parallelized across hundreds of GPUs. In contrast, coarse-grained models permit simulations on a larger scale but at the expense of accuracy or transferability. Here, we consider the CVF molecular model of fluid water, which bridges the gap between accuracy and efficiency for free-energy and thermodynamic quantities due to i) a detailed calculation of the hydrogen bond contributions at the molecular level, including cooperative effects, and ii) coarse-graining of the translational and rotational degrees of freedom of the molecules. The CVF model can reproduce the experimental equation of state and fluctuations of fluid water across a temperature range of 60° around ambient temperature and from 0 to 50 MPa. In this work, we describe efficient parallel Monte Carlo algorithms executed on GPUs using CUDA, tailored explicitly for the CVF model. We benchmark accessible sizes of 17 million molecules with the Metropolis and 2 million with the Swendsen-Wang Monte Carlo algorithm.
Editorial: Emerging leaders in nanotechnology Marcos H. D. Guimaraes, Simona Badilescu, Satyabrata Mohapatra, Giancarlo Franzese Frontiers in Nanotechnology, 2025 The study by Z. Dan et al., led by Antonija Grubisic-Cabo, explores the scalable production of highquality two-dimensional transition metal dichalcogenide (TMD) monolayers, namely WS₂ and WSe₂, using the kinetic in situ single-layer synthesis (KISS) method. The authors show the influence of different substrates (Au, Ag) and TMD chalcogen elements (S, Se) on the film quality and dimensions, with WSe₂ consistently yielding larger monolayers than WS₂, independent of substrate. Structural and chemical analyses confirmed high crystallinity and non-destructive exfoliation, without any covalent bonding to substrates. This work particularly highlights the use of the KISS method to obtain large high quality TMD monolayers which can be used in fundamental and applied research using these promising nanomaterials.The collection presents two papers examining the formation of a biomolecular corona on nanoparticles (NPs) upon exposure to the bloodstream or biological fluids. This phenomenon is crucial for understanding the potential applications of NPs in therapies and evaluating their safety. It involves the rapid adsorption of proteins, lipids, and sugars onto the particle surface, and studying its evolution over time is the focus of extensive experimental research. Theoretical work on adsorption kinetics and corona evolution is limited and often tied to simulation outcomes. The first paper on NP-corona formation presented here offers a theoretical perspective based on a simplified model, aiming to bridge this knowledge gap. Åberg Christoffer and Jansen Alwin explore the kinetics of corona formation, the variability of corona composition across different particles, and the spatial distribution of various biomolecules within the corona. Their assumptions include irreversibility of adsorption and the lack of biomolecule-biomolecule interactions. They suggest this approach as a valuable reference for experiments and future theoretical investigations.The second paper on NP-corona formation -by E. Clemente et al. and led by Marco P. Monopoli -is an original experimental study that aims to control the process for enhancing NP biocompatibility and extend circulation time by minimizing protein adsorption. To achieve this goal, surface modifications using polyethylene glycol (PEG) polymers are typically employed due to their steric hindrance and repulsion effects. However, continuous exposure to PEGylated NPs can trigger both acute and chronic immune responses, which limits their use in treating various conditions. The authors of this contribution suggest an alternative strategy using monosaccharide (glycans) coatings Glycans are biocompatible, interact with biological receptors in the body, and can be conjugated to control their orientation, which enhances NP stability in solution due to their hydrophilic nature. Specifically, they developed a series of gold NPs (AuNPs) that are coated with PEG linkers of varying lengths and conjugated with mannose (Man) or sialic acid (Sia) glycans, meticulously characterizing them before and after exposure to biological fluids. The results suggest that coating impacts the formation of the protein corona, but it does not affect the interaction with glycan receptors, even within a complex protein environment. Thus, glycan modification of PEGylated NPs minimizes nonspecific interactions while maintaining active targeting properties, highlighting their potential for therapeutic applications.The paper authored by A. Czajkowski, et al., and led by Ellen M. Adams, focuses on a unique aspect of protein organization in cells: the formation of biomolecular condensates. These condensates can form spontaneously in vivo in response to external stresses or to fulfill essential biological functions. They consist of solvated RNA-binding proteins, often incorporating nucleic acids. In this study, the authors examine how post-translational modifications (PTMs) and salt concentration influence the protein Fused in Sarcoma (FUS) in terms of its tendency to form biomolecular condensates. They utilize two expression systems-bacterial and insect cells-that differ in their ability to incorporate PTMs into the protein, and they analyze the solvation of FUS condensates, both with and without PTMs, at 100 mM and 2.5 M KCl using attenuated total reflection Terahertz spectroscopy. The findings indicate that PTMs significantly affect the phaseseparation propensity, whereas protein solvation within the condensate remains unaffected. Conversely, variations in salt concentration modify the stiffness of the water hydrogen bond network, causing perturbations in the molecular organization of the condensate due to changes in solvent properties.The study by Sakinala et al., headed by Mallesham Baithy , explores the development of Cusupported doped-CeO2 catalysts and their application in the oxidation of benzylamine, both in the absence and presence of 1,2-diaminobenzene. The authors show that the prepared CuO/CeO2 -ZrO2 catalyst offers a highly efficient, robust, and recyclable system for the selective oxidative coupling of benzylamines to imine (99.5%), benzimidazole (99.2%) and its derivatives under solvent-free conditions. The catalytic activity is influenced by the presence of oxygen vacancy sites, strong metal support interaction, enhanced redox behavior and a high density of acidic sites, which collectively contribute to its superior performance. This study highlights the importance and necessity for further studies on ceria-based catalysts in oxidative processes.Together, these contributions illustrate the multifaceted nature of nanotechnology research, highlighting the work led by emerging scientists in the field. From innovative synthesis methods and theoretical insights to biocompatible nanomaterials and ethical considerations in education, this special issue highlights the creativity and interdisciplinary spirit driving the next generation of discoveries in nanoscience and nanotechnology.
Phase behavior of metastable water from large-scale simulations of a quantitatively accurate model near ambient conditions: The liquid–liquid critical point Luis Enrique Coronas, Giancarlo Franzese Journal of Chemical Physics, 2024 The molecular mechanisms of water’s unique anomalies are still debated upon. Experimental challenges have led to simulations suggesting a liquid–liquid (LL) phase transition, culminating in the supercooled region’s LL critical point (LLCP). Computational expense, small system sizes, and the reliability of water models often limit these simulations. We adopt the CVF model, which is reliable, transferable, scalable, and efficient across a wide range of temperatures and pressures around ambient conditions. By leveraging the timescale separation between fast hydrogen bonds and slow molecular coordinates, the model allows a thorough exploration of the metastable phase diagram of liquid water. Using advanced numerical techniques to bypass dynamical slowing down, we perform finite-size scaling on larger systems than those used in previous analyses. Our study extrapolates thermodynamic behavior in the infinite-system limit, demonstrating the existence of the LLCP in the 3D Ising universality class in the low-temperature, low-pressure side of the line of temperatures of maximum density, specifically at TC = 186 ± 4 K and PC = 174 ± 14 MPa, at the end of a liquid–liquid phase separation stretching up to ∼200 MPa. These predictions align with recent experimental data and sophisticated models, highlighting that hydrogen bond cooperativity governs the LLCP and the origin of water anomalies. We also observe substantial cooperative fluctuations in the hydrogen bond network at scales larger than 10 nm, even at temperatures relevant to biopreservation. These findings have significant implications for nanotechnology and biophysics, providing new insights into water’s behavior under varied conditions.
Small-angle X-ray scattering unveils the internal structure of lipid nanoparticles Francesco Spinozzi, Paolo Moretti, Diego Romano Perinelli, Giacomo Corucci, Paolo Piergiovanni, Heinz Amenitsch, Giulio Alfredo Sancini, Giancarlo Franzese, Paolo Blasi Journal of Colloid and Interface Science, 2024 Lipid nanoparticles own a remarkable potential in nanomedicine, only partially disclosed. While the clinical use of liposomes and cationic lipid-nucleic acid complexes is well-established, liquid lipid nanoparticles (nanoemulsions), solid lipid nanoparticles, and nanostructured lipid carriers have even greater possibilities. However, they face obstacles in being used in clinics due to a lack of understanding about the molecular mechanisms controlling their drug loading and release, interactions with the biological environment (such as the protein corona), and shelf-life stability. To create effective drug delivery carriers and successfully translate bench research to clinical settings, it is crucial to have a thorough understanding of the internal structure of lipid nanoparticles. Through synchrotron small-angle X-ray scattering experiments, we determined the spatial distribution and internal structure of the nanoparticles' lipid, surfactant, and the bound water in them. The nanoparticles themselves have a barrel-like shape that consists of coplanar lipid platelets (specifically cetyl palmitate) that are covered by loosely spaced polysorbate 80 surfactant molecules, whose polar heads retain a large amount of bound water. To reduce the interface cost of bound water with unbound water without stacking, the platelets collapse onto each other. This internal structure challenges the classical core-shell model typically used to describe solid lipid nanoparticles and could play a significant role in drug loading and release, biological fluid interaction, and nanoparticle stability, making our findings valuable for the rational design of lipid-based nanoparticles.
Structure and dynamics of nanoconfined water and aqueous solutions Horacio R. Corti, Gustavo A. Appignanesi, Marcia C. Barbosa, J. Rafael Bordin, Carles Calero, Gaia Camisasca, M. Dolores Elola, Giancarlo Franzese, Paola Gallo, Ali Hassanali, Kai Huang, Daniel Laria, Cintia A. Menéndez, Joan M. Montes de Oca, M. Paula Longinotti, Javier Rodriguez, Mauro Rovere, Damián Scherlis, Igal Szleifer European Physical Journal E, 2021
Advances in the study of supercooled water Paola Gallo, Johannes Bachler, Livia E. Bove, Roland Böhmer, Gaia Camisasca, Luis E. Coronas, Horacio R. Corti, Ingrid de Almeida Ribeiro, Maurice de Koning, Giancarlo Franzese, Violeta Fuentes-Landete, Catalin Gainaru, Thomas Loerting, Joan Manuel Montes de Oca, Peter H. Poole, Mauro Rovere, Francesco Sciortino, Christina M. Tonauer, Gustavo A. Appignanesi European Physical Journal E, 2021
More than one dynamic crossover in protein hydration water Marco G. Mazza, Kevin Stokely, Sara E. Pagnotta, Fabio Bruni, H. Eugene Stanley, Giancarlo Franzese Proceedings of the National Academy of Sciences of the United States of America, 2011
Correlated randomness and switching phenomena H.E. Stanley, S.V. Buldyrev, G. Franzese, S. Havlin, F. Mallamace, P. Kumar, V. Plerou, T. Preis Physica A Statistical Mechanics and Its Applications, 2010
Metastable water under pressure Kevin Stokely, Marco G. Mazza, H. Eugene Stanley, Giancarlo Franzese NATO Science for Peace and Security Series A Chemistry and Biology, 2010
Dynamic response limits of an elastic magnet G. Ausanio, L. De Arcangelis, G. Franzese, V. Iannotti, C. Luponio Jr., L. Lanotte Journal of Magnetism and Magnetic Materials, 2005
Static and dynamic heterogeneities in water H. Eugene Stanley, Sergey V. Buldyrev, Giancarlo Franzese, Nicolas Giovambattista, Francis W. Starr Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2005
Models for a liquid-liquid phase transition S.V. Buldyrev, G. Franzese, N. Giovambattista, G. Malescio, M.R. Sadr-Lahijany, A. Scala, A. Skibinsky, H.E. Stanley Physica A Statistical Mechanics and Its Applications, 2002
Precursor phenomena in frustrated systems Giancarlo Franzese, Antonio Coniglio Physical Review E Statistical Physics Plasmas Fluids and Related Interdisciplinary Topics, 1999
The Potts frustrated model: Relations with glasses Giancarlo Franzese, Antonio Coniglio Philosophical Magazine B Physics of Condensed Matter Statistical Mechanics Electronic Optical and Magnetic Properties, 1999
Invaded cluster dynamics for frustrated models Giancarlo Franzese, Vittorio Cataudella, Antonio Coniglio Physical Review E Statistical Physics Plasmas Fluids and Related Interdisciplinary Topics, 1998
Characterizing the hard and soft G Franzese Thought Leaders in Nanotechnology Research, 27 , 2026 2026
Unveiling the entropic role of hydration water in SOD1 partitioning within FUS condensate LE Coronas, S Timr, F Sterpone, G Franzese The Journal of Chemical Physics 164 (9) , 2026 2026
Many-body contributions to polymorphism and polyhexaticity in a water monolayer O Vilanova, G Franzese arXiv preprint arXiv:2602.00320 , 2026 2026
Adsorption of wastewater pollutants on amorphous TiO 2: an atomistic simulation study M von Einem, F Balzaretti, M Romero, W Dononelli, LC Ciacchi, ... Materials Advances , 2026 2026
Confinement-driven emergence of hyperuniform fluids F Leoni, G Franzese, EC Oğuz, F Martelli Physical Review Research 7 (4), 043305 , 2025 2025
A machine learning tool to analyse spectroscopic changes in high-dimensional data A Martinez-Serra, G Marchetti, F D’Amico, I Fenoglio, B Rossi, ... International Journal of Biological Macromolecules, 148095 , 2025 2025 Citations: 2
A transferable molecular model for accurate thermodynamic studies of water in large-scale systems LE Coronas, O Vilanova, G Franzese Journal of Molecular Liquids 434, 128032 , 2025 2025 Citations: 8
A computational analysis of the glycoprotein LRP1 structure and the role of glycans as quaternary glue GM Tuveri, M Basile, SA Gutiérrez, M Kausas, S Pujals, X Tian, ... bioRxiv, 2025.06. 10.658798 , 2025 2025
Emerging leaders in nanotechnology MHD Guimaraes, S Badilescu, S Mohapatra, G Franzese Frontiers in Nanotechnology 7, 1637617 , 2025 2025
Efficient parallel algorithms for free-energy calculation of millions of water molecules in the fluid phases LE Coronas, O Vilanova, G Franzese arXiv preprint arXiv:2505.05919 , 2025 2025 Citations: 4
Characterizing the hard and soft nanoparticle-protein corona with multilayer adsorption O Vilanova, A Martinez-Serra, MP Monopoli, G Franzese Frontiers in Nanotechnology 6, 1531039 , 2025 2025 Citations: 22
Agua, medioambiente y agroalimentación J Fraxedas, MJ Esplandiú, S Mitchell, P Aranda, J Bastos-Arrieta, ... Aranzadi (Editorial) , 2025 2025
Emergence of disordered hyperuniformity in confined fluids and soft matter F Leoni, EC Oğuz, G Franzese arXiv preprint arXiv:2411.12393 , 2024 2024 Citations: 1
Phase behavior of metastable water from large-scale simulations of a quantitatively accurate model near ambient conditions: The liquid–liquid critical point LE Coronas, G Franzese The Journal of Chemical Physics 161 (16) , 2024 2024 Citations: 31
Large-scale simulations data near the supercooled liquid-liquid critical point of the transferable molecular CVF model for water G Franzese 2024
Replication Data for:'A transferable molecular model for accurate thermodynamic studies of water in large-scale systems' G Franzese 2024
Small-angle X-ray scattering unveils the internal structure of lipid nanoparticles F Spinozzi, P Moretti, DR Perinelli, G Corucci, P Piergiovanni, ... Journal of Colloid and Interface Science 662, 446-459 , 2024 2024 Citations: 29
Editorial of virtual special issue EMLG/JMLG 2022: Molecular liquids at interfaces G Franzese, T Tassaing, L Vega Elsevier BV , 2024 2024
Computational reconstruction of the LDL-receptor-related protein 1 (LRP1) atomistic structure evolution from super-tertiary to quaternary GM Tuveri, SA Gutierrez, G Franzese, LR Perez, G Battaglia Biophysical Journal 123 (3), 210a , 2024 2024
Interfacial phenomena in nanotechnological applications for water remediation MJ Esplandiu, N Bastus, J Fraxedas, I Ihmaz, V Puntes, J Radjenovic, ... Elsevier , 2024 2024 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Generic mechanism for generating a liquid-liquid phase transition G Franzese, G Malescio, A Skibinsky, SV Buldyrev, HE Stanley Nature 409, 692 , 2001 2001 Citations: 490
Effect of hydrogen bond cooperativity on the behavior of water K Stokely, MG Mazza, HE Stanley, G Franzese Proceedings of the National Academy of Sciences 107 (4), 1301-1306 , 2010 2010 Citations: 404
Understanding the Kinetics of Protein–Nanoparticle Corona Formation O Vilanova, JJ Mittag, PM Kelly, S Milani, KA Dawson, JO Rädler, ... ACS nano 10, 10842 , 2016 2016 Citations: 343
The Widom line of supercooled water G Franzese, HE Stanley Journal of Physics: Condensed Matter 19 (20), 205126 , 2007 2007 Citations: 257
Waterlike hierarchy of anomalies in a continuous spherical shouldered potential AB De Oliveira, G Franzese, PA Netz, MC Barbosa The Journal of Chemical Physics 128, 064901 , 2008 2008 Citations: 188
Intramolecular coupling as a mechanism for a liquid-liquid phase transition G Franzese, MI Marqués, HE Stanley Physical Review E 67 (1), 011103 , 2003 2003 Citations: 168
Liquid-liquid phase transitions for soft-core attractive potentials A Skibinsky, SV Buldyrev, G Franzese, G Malescio, HE Stanley Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 69 (6 … , 2004 2004 Citations: 157
Models for a liquid–liquid phase transition SV Buldyrev, G Franzese, N Giovambattista, G Malescio, ... Physica A: Statistical Mechanics and its Applications 304 (1-2), 23-42 , 2002 2002 Citations: 148
Nanoscale dynamics of phase flipping in water near its hypothesized liquid-liquid critical point T Kesselring, G Franzese, S Buldyrev, H Herrmann, HE Stanley SCIENTIFIC REPORTS 2 (474) , 2012 2012 Citations: 141
Metastable liquid-liquid phase transition in a single-component system with only one crystal phase and no density anomaly G Franzese, G Malescio, A Skibinsky, SV Buldyrev, HE Stanley Physical Review-Section E-Statistical Nonlinear and Soft Matter Physics 66 … , 2002 2002 Citations: 139
Differences between discontinuous and continuous soft-core attractive potentials: The appearance of density anomaly G Franzese Journal of Molecular Liquids 136 (3), 267-273 , 2007 2007 Citations: 138
Liquid-liquid critical point in a Hamiltonian model for water: analytic solution G Franzese, HE Stanley Journal of Physics: Condensed Matter 14 (9), 2201-2209 , 2002 2002 Citations: 136
Predictions of dynamic behavior under pressure for two scenarios to explain water anomalies P Kumar, G Franzese, HE Stanley Physical Review Letters 100 (10), 105701 , 2008 2008 Citations: 131
Understanding and modulating the competitive surface-adsorption of proteins through coarse-grained molecular dynamics simulations P Vilaseca, KA Dawson, G Franzese Soft Matter 9 (29), 6978-6985 , 2013 2013 Citations: 130
Isotropic soft-core potentials with two characteristic length scales and anomalous behaviour P Vilaseca, G Franzese Journal of non-crystalline solids 357 (2), 419-426 , 2011 2011 Citations: 128
More than one dynamic crossover in protein hydration water MG Mazza, K Stokely, SE Pagnotta, F Bruni, HE Stanley, G Franzese Proceedings of the National Academy of Sciences 108 (50), 19873- 19878 , 2011 2011 Citations: 125
Molecular dynamics study of orientational cooperativity in water P Kumar, G Franzese, SV Buldyrev, HE Stanley Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 73 (4 … , 2006 2006 Citations: 113
Structure and dynamics of nanoconfined water and aqueous solutions HR Corti, GA Appignanesi, MC Barbosa, JR Bordin, C Calero, ... The European Physical Journal E 44 (11), 136 , 2021 2021 Citations: 110
Liquid-liquid phase transition for an attractive isotropic potential with wide repulsive range G Malescio, G Franzese, A Skibinsky, SV Buldyrev, HE Stanley Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 71 (6 … , 2005 2005 Citations: 109
Advances in the study of supercooled water P Gallo, J Bachler, LE Bove, R Böhmer, G Camisasca, LE Coronas, ... The European Physical Journal E 44 (11), 143 , 2021 2021 Citations: 104