09:30 to 09:40 
Abhishek Dhar (ICTSTIFR, India) 
Welcome Remarks 


09:40 to 09:50 
Ambarish Kunwar (IIT Bombay, India) 
Study of Transport by Motor Proteins using Optical Tweezers In this talk I will talk about some of the recent work from my lab in the area of intracellular transport where we have used optical trapping extensively.



09:50 to 10:00 
Rupak Bag (RRI, India) 
Transport of photons in structure waveguide QED systems I will discuss special features of quantum lightmatter interactions inside structured waveguides due to their finite bandwidth, band edges, and nontrivial topological properties. For linear waveguides with infinite bandwidth, the transmission and reflection coefficients of a sidecoupled twolevel emitter (2LE) are the same as the reflection and transmission coefficients of a directcoupled 2LE. I'll show how this transport analogy breaks down for structured waveguides due to the appearance of Lamb shift only for the directcoupled 2LE.
Ref: Quantum lightmatter interactions in structured waveguides, Rupak Bag and Dibyendu Roy, Phys. Rev. A 108, 053717



10:00 to 10:10 
Saikat Santra (ICTS, India) 
Tracer Dynamics in Active Random Average Process We investigate the dynamics of tracer particles in the random average process (RAP), a singlefile system in one dimension. In addition to the position, every particle possesses an internal spin variable $\sigma (t)$ that can alternate between two values, $\pm 1$, at a constant rate $\gamma$. Physically, the value of $\sigma (t)$ dictates the direction of motion of the corresponding particle and for finite $\gamma$, every particle performs a nonMarkovian active dynamics. Herein, we study the effect of this nonMarkovianity in the fluctuations and correlations of the positions of tracer particles. We analytically show that the variance of the position of a tagged particle grows subdiffusively as $\sim \zeta_{\text{q}} \sqrt{t}$ at large times for the quenched uniform initial condition. While this subdiffusive growth is identical to that of the Markovian/nonpersistent RAP, the coefficient $\zeta_{\text{q}} $ is rather different and bears the signature of the persistent motion of active particles through higher point correlations (unlike in the Markovian case). Similarly, for the annealed (steady state) initial condition, we find that the variance scales as $\sim \zeta_{\text{a}} \sqrt{t}$ at large times with coefficient $\zeta_{\text{a}} $ once again different from the nonpersistent case. Although $\zeta_{\text{q}}$ and $\zeta_{\text{a}} $ both individually depart from their Markov counterparts, their ratio $\zeta_{\text{a}} / \zeta_{\text{q}}$ is still equal to $\sqrt{2}$, a condition observed for other diffusive singlefile systems. This condition turns out to be true even in the strongly active regimes as corroborated by extensive simulations and calculations.



10:10 to 10:20 
Dipankar Roy (ICTS, India) 
Universality in coupled stochastic Burgers systems with degenerate flux Jacobian We study 1D stochastic models with two conservation laws. One of the models is the coupled continuum stochastic Burgers equation, for which each current is a sum of quadratic nonlinearities, linear diffusion, and spacetime white noise. The second model is a twolane stochastic lattice gas. As distinct from previous studies, the two conserved densities are tuned such that the flux Jacobian, a 2 × 2 matrix, has coinciding eigenvalues. In the steady state, we investigate spacetime correlations of the conserved fields and the timeintegrated currents at the origin. For a particular choice of couplings the dynamical exponent 3/2 is confirmed. Furthermore, at these couplings, continuum stochastic Burgers equation and lattice gas are demonstrated to be in the same universality class. (This is based on the work reported in arXiv:2401.06399.)



10:20 to 10:30 
Sahil Kumar Singh (ICTS, India) 
Thermalization and hydrodynamics in an interacting integrable system: the case of hard rods A classical Hamiltonian manybody system will generally thermalize to Gibbs Ensemble(GE) if left alone for a long time. However, there may exist systems that do not thermalize to GE, because of the existence of extra conservation laws which restrict their motion in the phase space. Thus, dynamical manybody systems can be thought of as constituting a spectrum, with systems having only Hamiltonian as the conserved quantity at one end of the spectrum, and systems having infinitely many conservation laws at the other end. The latter end consists of integrable manybody systems, which are believed to thermalize to the Generalized Gibbs Ensemble (GGE). They have a number of conservation laws equal to the number of degrees of freedom, and thus an infinity of them in the thermodynamic limit. Their nonequilibrium states close to local GGE is described by generalised hydrodynamics (GHD). In this poster, we will study thermalization to GGE of an interacting integrable system, which is that of hard rods, starting from an initial nonequilibrium state. We will also solve the GHD equations at the Euler level exactly by mapping it to a free particle Euler equation. We will also include the NavierStokes corrections to the GHD equations and solve it exactly for certain nonequilibrium initial conditions. We will compare our analytical results with those of molecular dynamics simulations, thus providing a verification of GHD. This talk will be based on [1]
[1] S. K. Singh, A. Dhar, H. Spohn, and A. Kundu, arXiv:2310.18684.



10:30 to 10:40 
Anurag Upadhyaya (IISc, India) 
Protein Sequencing Through Nanopore: A Molecular Dynamics Simulation Study "Over the past several decades, nanopore technology has risen as a highly promising approach for biomolecule sequencing. Solidstate nanopores have emerged as one of the most versatile tools for single biomolecule detection and characterization [1]. Nanopore sensing is based on the measurement of variations in ionic current as biomolecules translocate through nanometersized channels, in response to an external voltage applied across the membrane. The passage of a biomolecule through a pore yields information about its structure and chemical properties[2].
In our investigation, we employed comprehensive allatom Molecular Dynamics (MD) simulations to explore the electric fielddriven translocation of a homopeptide sequence through doublelayer graphene nanopores. Application of an external electric field facilitated the observation of ionic current (blockade current) generated by ion passage through the graphene nanopore, alongside the assessment of residence time (dwell time) for individual amino acids during the peptide translocation process.
Our findings suggest that dwell time may offer a more nuanced perspective compared to blockade current. Our analytical approach revealed a discernible influence of amino acid charges on the translocation of homopeptides. Furthermore, our study successfully identified posttranslational modifications at the singlemolecule level within homopeptide sequences as they traversed the sensing region of the nanopore.
This capability allowed us to discriminate between distinct peptide sequences based on the specific charges present within the peptides.
Reference:
1. Wang, Y., Zhao, Y., Bollas, A. et al. Nanopore sequencing technology, bioinformatics and applications. Nat Biotechnol 39, 1348–1365 (2021)
2. Aksimentiev A, Schulten K. Imaging alphahemolysin with molecular dynamics: ionic conductance, osmotic permeability, and the electrostatic potential map. Biophys J. Jun; 88(6), 374561 (2005)"



10:40 to 10:50 
Amit Amal Ghosal (IISER Kolkata, India) 
Statics and dynamics of twodimensional melting in a disordered environment We will present the results from our study of melting in a twodimensional system of classical particles with Gaussiancore interactions in disordered environments. The clean system validates the conventional twostep melting with a hexatic phase intervening between the solid and the liquid. This picture gets significantly modified in disordered environments. Disorder, in the form of a random distribution of pinning centers, forces a hexaticlike lowtemperature phase that transits into a liquid at a single melting temperature T_RP. In contrast, pinning centers located at randomly chosen sites of a perfect crystal anchor a solid at low temperatures which undergoes a direct transition to the liquid at T_CP. Thus, the twostep melting is lost in either case of disorder. We will discuss the characteristics of melting depending on the nature of the impurities. The intriguing dynamical signatures of the system across melting, both in the presence and absence of impurities will also be discussed.



10:50 to 11:00 
Auditya Sharma (IISER Bhopal, India) 
Evidence that the AT transition disappears below six dimensions One of the key predictions of Parisi’s broken replica symmetry theory of spin glasses is the existence of a phase transition in an applied field to a state with broken replica symmetry. This transition takes place at the de AlmeidaThouless (AT) line in the h − T plane. We have studied this line in the powerlaw diluted Heisenberg spin glass in which the probability that two spins separated by a distance r interact with each other falls as a powerlaw. Tuning the exponent σ is equivalent to changing the dimension d of the shortrange system, with the relation being d = 2/(2σ − 1) for σ < 2/3. We have found by numerical simulations that the AT line does not exist for σ > 2/3 (i.e below 6 dimensions). Therefore, the Parisi scheme is not appropriate for spin glasses in three dimensions.



11:00 to 11:10 
Subhra Sen Gupta (SNIoE, India) 
Nonuniform Multifractality in Disordered Spin Chains and Some Special Random Matrix Models 


11:30 to 13:00 
 
Posters 


14:00 to 14:10 
Suravi Pal (SNBNCBS, India) 
Equilibrium and transient behaviour of modulated binary colloid We explore the phase and dynamical behaviour of a 2D binary mixture of big and small mutually repulsive particles with diameter ratio 2:1. We perform Monte Carlo (MC) simulations to obtain phase separated system in absence of any external modulation. The particles undergo mixing when being applied to a spatially periodic external modulation whose wavelength matches with the diameter of the bigger particles. The demixing to mixing phenomena is accompanied by a first order phase transition. We then study the transient behaviour of the same binary modulated colloidal system going from modulated mixed state to a demixed one using Brownian Dynamics simulation. We characterise the transient structure and its growth as the system gradually reaches equilibrium by means of average cluster size, radius of gyration vs. time. We observe that the cluster size follows a power law dependence with time before the system reaches steady state. We also observe that the ratio of the radii of gyration along the direction of modulation and in the transverse direction gradually reaches unity reflecting compact circular like shape of the clusters. We observe gradual increase of average demixing order parameter as the system reaches the steady state. We explore the dynamical behaviour of both the types of particles by looking into mean square displacement (MSD) with time. We observe that the smaller particles form slowly diffusing clusters in a background of faster diffusing bigger ones.



14:10 to 14:20 
Jaya Kumar Alageshan (IISc, India) 
Neural network assisted electrostatic global gyrokinetic toroidal code using cylindrical coordinates Several simulation codes, including GTC, GYRO, ORB5, GENE, etc., have been created to investigate microturbulence within the linear and nonlinear domains of tokamak and stellarator cores. These codes employ flux coordinates to simplify computations affected by anisotropy from confinement magnetic fields. However, flux coordinates encounter mathematical singularities at the magnetic separatrix surface. To address this challenge, we developed the Global Gyrokinetic Code using Cylindrical Coordinates (G2C3), assisted by neural networks, for studying electrostatic microturbulence in realistic tokamak geometries. G2C3 utilizes a cylindrical coordinate system for particle dynamics, enabling motion within arbitrarily shaped flux surfaces, including the tokamak's magnetic separatrix. The code employs an efficient particle locating hybrid scheme, utilizing a neural network and iterative local search algorithm for charge deposition and field scattering. G2C3 uses numerically integrated field lines to train the neural network as a universal function approximator, accelerating subroutines related to gathering and scattering operations in selfconsistent gyrokinetic simulation. Notably, G2C3 is the sole code integrating a multilayer neural network with field line geometry for selfconsistent simulation in the world fusion program. To demonstrate the new code's capabilities, we present results from selfconsistent simulations of ion temperature gradient modes in the tokamak's core region.



14:20 to 14:30 
Gopal R (SASTRA University, India) 
Data driven exploration of swarmalators with higherorder harmonics We explore the dynamics of swarmalator population comprising higherorder harmonics in phase interaction. A key observation in our study is the emergence of the active asynchronous state in swarmalators with higherorder harmonics, mirroring findings in the onedimensional analogue of the model, accompanied by the formation of clustered states. Particularly, we observe a transition from the static asynchronous state to the active phase wave state via the active asynchronous state. We have successfully delineated and quantified the stability boundary of the active asynchronous state through a completely datadriven method. This was achieved by utilizing the enhanced image processing capabilities of convolutional neural networks, specifically the UNet architecture. Complementing this datadriven analysis, our study also incorporates an analytical stability of the clustered states, providing a multifaceted perspective on the system’s behavior. Our investigation not only sheds light on the nuanced behavior of swarmalators under higherorder harmonics but also demonstrates the efficacy of convolutional neural networks in analyzing complex dynamical systems.
1. K. P. O’Keeffe, J. H. Evers, and T. Kolokolnikov, Physical Review E 98, 022203 (2018).
2. R. Senthamizhan, R. Gopal, and V. K. Chandrasekar, Physical Review E (Submitted , 2024).



14:30 to 14:40 
Tapan Chandra Adhyapak (NISER Bhubaneswar, India) 
Physics of active particles: how important is fully resolved hydrodynamics We present our recent works on model microswimmers under confinements, shear flow, and complex environments. We incorporate detailed hydrodynamic interactions and elastic properties of the flexible parts of the swimmers. Through two different models, suitable, respectively, for resolving the swimmers with remarkable details and at intermediate resolutions, we investigate the role of hydrodynamic flows. We show that fully resolved hydrodynamics and elastic properties are not just details but are crucial to understanding some of the open questions, such as those related to the hydrodynamic trapping of bacterial on a substrate and flagellar polymorphic dynamics of E. coli during its tumbling motion.



14:40 to 14:50 
Prasenjit Das (IISER Mohali, India) 
Domain Kinetics in Active Binary Mixtures We study motilityinduced phase separation (MIPS) in active AB binary mixtures in $d=2$. We begin with the master equation for the runandtumble bacterial model and coarsegrain that to obtain the evolution equations for the density fields $\rho_i(\vec r, t)$. We numerically solve the evolution equations using the Euler discretization technique for a critical (50\%A50\%B) binary mixture that shows spatiotemporal pattern formation. Next, we characterize the patterns by calculating the equaltime correlation function $C(r, t)$ and the structure factor $S(k, t)$. For $k\rightarrow\infty$, $S(k, t)$ follows Porod's law: $S(k, t)\sim k^{(d+1)}$. The average domain size $L(t)$ follows the LifshitzSlyozov~(LS) law $L(t)\sim t^{1/3}$.



14:50 to 15:00 
Sivasurender Chandran (IIT Kanpur, India) 
Harnessing Activity to Control the Microscopic Dynamics underlying Bacterial Turbulence. Dense bacterial suspensions display collective motion exhibiting coherent flow structures reminiscent of turbulent flows. However, understanding the microscopic dynamics of bacterial fluid elements undergoing such turbulent motion is in its incipient stages. In this talk, I will discuss our experiments revealing correlations between microscopic dynamics and the emergence of collective motion in bacterial suspensions. Our detailed analysis of the trajectories of the passive tracers and the velocity field of the bacterial suspensions allowed us to systematically correlate the Lagrangian and the Eulerian perspectives. Bacteria within the collective dynamics followed initial ballistic dynamics followed by intermittent Lévy walk before the eventual decay to random Gaussian fluctuations. Intriguingly, the fluid correlation time decreased linearly with an increase in the effective activity, while the flow correlation length did not vary. The fluid correlation time defined the transition from Lévy to Gaussian fluctuations demonstrating the microscopic reason underlying the observation. Our results reveal transitions in microscopic dynamics underlying the bacterial turbulence and provide a lever to control the transitions between the microscopic regimes.



15:00 to 15:10 
Jitendra Kethepalli (ICTS, India) 
Full Counting statistics for the shortrange Riesz gas We investigate the Full counting statistics (FCS) of a harmonically confined 1d Riesz gas consisting of $N$ particles in equilibrium at finite temperature. The particles interact with each other through a repulsive powerlaw interaction with an exponent $k$. We examine the probability distribution of the number of particles in the semiinfinite domain $(\infty, W]$, called "index" represented by $\mathcal{I}(W, N)$. Statistical properties of the Index were known only for some values of $k<1$, in particular Dyson's log gas ($k\to 0$) and onedimensional 1dOCP ($k=1$). This study aims to fill the gap in our understanding of the FCS of $\mathcal{I}(W, N)$ for the shortrange Riesz gas, i.e., $k>1$. We analyze the probability distributions of $\mathcal{I}(W, N)$ and show that it exhibits large deviation forms for large $N$ characterised by a speed $N^{\frac{3k+2}{k+2}}$ and by a function of the fraction $c$ of the particles inside the domain and $W$. We derive analytical expressions for the large deviation functions. The saddle point densities that create the large deviations display interesting shape transitions which are manifested by a thirdorder phase transition exhibited by the large deviation functions through discontinuous third derivatives. Our MonteCarlo (MC) simulations show good agreement with the expression for saddle point density profiles. Typical fluctuations of $\mathcal{I}(W, N)$ around their mean are Gaussian distributed with a variance that scales as $N^{\nu_k}$, with $\nu_k = (2k)/(2+k)$. We furthermore compute the thermodynamic pressure and bulk modulus using the LDF for index distribution. Our approach is shown to be adaptable beyond harmonic confinement.



15:10 to 15:20 
Indranil Mukherjee (IISER Kolkata, India) 
Hidden superuniversality in systems with continuous variation of critical exponents Renormalization group theory allows continuous variation of critical exponents along a marginal direction (when there is one), keeping the scaling relations invariant. We propose a superuniversality hypothesis (SUH) suggesting that, up to constant scale factors, the scaling functions along the critical line must be identical to that of the base universality class even when all the critical exponents vary continuously. We demonstrate this in the AshkinTeller (AT) model on a twodimensional square lattice where two different phase transitions occur across the selfdual critical line: while magnetic transition obeys the weakuniversality hypothesis where exponent ratios remain fixed, the polarization exhibits a continuous variation of all critical exponents. The SUH not only explains both kinds of variations observed in the AT model, it also provides a unified picture of continuous variation of critical exponents observed in several other contexts.



15:20 to 15:30 
Jasna C K (CUSAT, India) 
Percolation of aligned and overlapping shape anisotropic objects on lattices In this work, we investigate the percolation properties of a system of aligned, overlapping and shape anisotropic objects on lattices. We study a system of overlapping and aligned rectangles on 2D square lattices using Monte Carlo simulation as well as lattice version of excluded volume theory. Recently proposed lattice version of excluded volume theory enables us to evaluate percolation threshold for various objects on lattices to higher accuracy. Quantity of interest in our problem is the percolation threshold. We compare variation of percolation threshold with length of the percolating units. Theory predicts a monotonic dependence of threshold on length of the rectangles chosen. We kept width of the rectangle a constant and increased its length alone. Variation of the percolation threshold with length of the rectangle is studied for various widths. Specifically, we obtain a monotonic decrease of threshold with stick length for rectangles of width unity(sticks) and monotonic increase of threshold with length for rectangles of width greater than two. For width two, threshold is found to be independent of length for rectangles on 2D square lattices. Length independence of threshold is an interesting result which can be extended to higher dimensions as well. Results from excluded volume theory adapted to a lattice setting is found to be in good agreement with results from simulations especially for larger rectangles. Finiteness of limiting threshold value is also evident from the theory. Shape anisotropy influences the percolation threshold to a greater extent. We evaluate percolation thresholds of system for two directions, specifically, check for a spanning cluster in the orthogonal direction to alignment and in the direction of alignment. Both yield same threshold in the infinite system size limit. This peculiar behaviour is observed only for percolation of shape anisotropic objects.



16:00 to 16:10 
Daniya Davis (VIT, India) 
Phase Separation of Fluids in Confined Geometry : Partial and Complete Wetting Exploring the intricate dynamics of phase separation in a confined cylindrical pore with wetting influence, this work delves into the fascinating phenomenon of binary fluid phase separation and its implications for various industrial and scientific applications. Unlike existing studies that suggested complete phase separation is unattainable within cylindrical porous media, our realistic model incorporates fluidwall particle interactions. By implementing our model, we successfully achieved complete phase separation, presenting a significant advancement in understanding this phenomenon. Our numerical analysis explores the phase separation process under varying wetting strengths, pinpointing the critical threshold where partial wetting transitions to complete wetting. Predominantly we investigate the growth of the domain length scale and determine the growth exponent for all the cases, shedding light on the underlying dynamics of this intriguing phenomenon, which shows different behavior with different strength of interactions. Distinct growth exponents are exhibited by various particle types once transitioned to complete wetting regime. To provide further justification and explanation for these findings, we employ the structure factor, leveraging the Porod law and Superuniversality principle.
Ref: D. Davis and B.S. Gupta, Phys. Rev. E, 108, 064607 (2023)



16:10 to 16:20 
Arvind Ayyer (IISc, India) 
The inhomogeneous multispecies PushTASEP We introduce and study a natural multispecies variant of the inhomogeneous PushTASEP with sitedependent rates on the finite ring. We derive the stationary distribution explicitly by constructing a multiline process which projects to the multispecies PushTASEP, and identifying its stationary distribution using timereversal arguments. We also study symmetry properties of the process under interchange of the rates associated to the sites. These results hold not just for events depending on the configuration at a single time in equilibrium, but also for systems out of equilibrium and for events depending on the path of the process over time. Lastly, we give explicit formulas for nearestneighbour twopoint correlations in terms of Schur functions. This is joint work with James Martin (Oxford).



16:20 to 16:30 
Hitesh Garg (IMSc, India) 
Bridging induced coiltoglobule transitions in polymers Macromolecules or polymers are generally found in crowded environments. The interior of a cell has a high concentration of macromolecules, typically constituting 2030% of the total volume of a cell. Crowders play an important role in what is known as the coiltoglobule (CG) transition of macromolecules, which is crucial for the functioning of biomacromolecules such as RNA, DNA, and proteins. The CG transition can occur due to various reasons and phenomena, including solvent quality, cononsolvency, temperaturemediated changes, depletion effect, etc. In this work, we studied the CG transition occurring due to bridging interactions, where crowders act as bridges or glues between monomers to induce collapse. We performed extensive coarsegrained molecular dynamics simulations to investigate the phase diagram of both neutral and charged polymers in the presence of attractive crowders. We also shed light on the effects of crowdercrowder interactions, density, valency of counterions, and the size of crowders on such transitions.



16:30 to 16:40 
Akshit Goyal (ICTS, India) 
Linear response theory of ecosystems to environmental perturbations 


16:40 to 16:50 
Pinaki Chaudhuri (IMSc, India) 
Creep response of amorphous solids We study the response of model amorphous solids to applied shear stress, and analyse the role of thermal fluctuations in determining the observed macro behaviour.



16:50 to 17:00 
Rajiv G Pereira (TIFR Hyderabad, India) 
Distribution of spins in random field XY models In this talk we shall consider XY models with quenched disorder and explore the nature of the ordered state. The focus will be on the patterns of spin distribution in typical configurations of quenched disorder, which are not visible in methods of study where we average over different configurations of disorder. The patterns remain robust for large system sizes.
In particular, we shall investigate the zero and lowtemperature arrangements of spins in:
1) Infiniterange XY model with random field (RFXY)
2) Infiniterange XY model with random crystal field (RCXY).
At 0temperature, for the RFXY model, there is a first order phase transition as the strength of the random field is varied across the critical value. The spins are distributed within a cone in the ordered phase and over a circle in the disordered phase. Whereas in the case of the RCXY, where there is no phase transition, the spins are distributed within a cone which widens with the strength of the crystal field.
Study of low temperature dynamics in both models show that randomly distributed spins first form a cone in a short timescale. In a longer timescale the cone rotates and eventually orient in the right direction, corresponding to the equilibrium.



17:00 to 17:10 
Suman Dutta (NCBS, India) 
Entropic Timescales of Dynamic Heterogeneity in Supercooled Liquid NonGaussian displacement distributions are universal predictors of dynamic heterogeneity in slowly varying environments. Here, we explore heterogeneous dynamics in supercooled liquid using molecular dynamics simulations and show the efficiency of the informationtheoretic measure in quantifying dynamic heterogeneity over the widely used momentbased quantifications of nonGaussianity. Our analysis shows that the heterogeneity quantified by the negentropy is significantly different from the one obtained using the conventional approach that considers deviation from Gaussianity up to lowerorder moments. Further, we extract the timescales of dynamic heterogeneity using the two methods and show that the differential changes diverge as the system experiences strong intermittency near the glass transition.



17:10 to 17:20 
Shovan Dutta (RRI, India) 
Global heating from local cooling (and vice versa) I will discuss a generic setup where an interacting quantum system (spin chain) coupled to a zerotemperature bath at the boundary can heat up to a highly excited state provided it conserves a U(1) charge (total Sz) that is broken by the coupling. This counterintuitive result highlights the importance of symmetry and the nature of systembath coupling in thermalization (or lack thereof).



17:20 to 17:30 
Sankaran Nampoothiri (GITAM, India) 
Brownian nonGaussian diffusion The familiar image of the diffusion process can be characterized by the mean square displacement (MSD) growing linearly in time and a Gaussian probability distribution function (PDF) for the position. However, the fascinating aspect is that nature often springs surprises, and the same holds true for diffusion. There are situations in which the simple, familiar diffusion picture does not hold. For example, have you ever wondered about the diffusion of particles in a liquid with enormous density fluctuations? Or have you envisioned the diffusive dynamics of a polymer chain's center of mass (CM) with the number of monomers in the chain fluctuating? This talk shows some familiar images of diffusion breaks in the scenarios described. Instead, new insights and ideas emerge. Specifically, diffusive processes can be characterized in these situations by the MSD growing linearly in time, like in the standard Brownian diffusion, but with a nonGaussian probability distribution function (PDF) for the position. In the end, the talk briefly delves into the implications of this novel nonGaussian feature in diffusive processes on the firstpassage statistics.


