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Welcome to

Basic Theoretical Research in the Mathematical & Natural Sciences 

THE REUVENI GROUP

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June 6, 2024

New Paper: Environmental memory facilitates search with home returns

We study the motion of a self-propelled bristle robot that moves randomly within an arena filled with obstacles. We show that trails created by the robot give rise to a form of environmental memory that facilitates search with home returns by increasing the effective diffusion coefficient of the robot. Numerical simulations and theoretical estimates designed to capture the essential physics of the experiment support our conclusions and indicate that these are not limited to the particular system studied herein.

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April 26, 2024

New Paper: Short-time infrequent metadynamics for improved kinetics inference

Infrequent Metadynamics is a popular method to obtain the rates of long time-scale processes from accelerated molecular dynamics simulations. We propose to improve kinetics inference in this method by focusing on short time scales. We demonstrate the new inference scheme for a model system and two molecular systems. We show an improved trade-off between speedup and accuracy at no additional computational cost, especially when employing suboptimal collective variables.

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February 16, 2024

New Paper: Enzymatic Activity Profiling Using an Ultrasensitive Array of Chemiluminescent Probes 

We present a robust and general approach to bacterial identification based on their unique enzymatic activity profiles. This method delivers results within 90 minutes, utilizing an array of highly sensitive and enzyme-selective chemiluminescent probes.  The method opens new avenues for characterizing and identifying pathogens in research, clinical, and industrial applications.

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June 2,  2024

Congratulations to Bara Levit! 

Congratulations to Bara Levit for winning the prestigious Colton Ph.D. Scholarship. 

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April 11, 2024

Congratulations to Itamar Shitrit! 

Congratulations to Itamar Shitrit for winning the first place in the poster competition of the annual meeting of the Israel Physics Society 2024. The prize was awarded for his research – Sokoban percolation on the Bethe lattice – which was carried out in collaboration with Ofek Lauber. 

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January 25, 2024

Preface: stochastic resetting —theory and applications

Read our preface for this special issue of the Journal of Physics A. Stochastic Resetting — Theory and Applications. In Celebration of the 10th Anniversary of 'Diffusion with Stochastic Resetting'.

 

   

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May 8, 2024

New Paper: Escape from textured adsorbing surfaces

The escape dynamics of sticky particles from textured surfaces is poorly understood despite its importance to various scientific and technological domains. We address this challenge by providing first analytical expressions for the escape time of adsorbates from prevalent surface topographies, including holes/pits, pillars, and grooves. 

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February 21, 2024

New Paper: Doubly stochastic continuous time random walk

The Montroll-Weiss continuous time random walk has found numerous applications due its ease of use and ability to describe both regular and anomalous diffusion. Yet, despite its broad applicability and generality, the model cannot account for effects coming from random diffusivity fluctuations, which have been observed in the motion of asset prices and molecules. To bridge this gap, we introduce a doubly stochastic version of the model in which waiting times between jumps are replaced with a fluctuating jump rate. 

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January 4, 2024

New Paper: Combining stochastic resetting with Metadynamics to speed-up molecular dynamics simulations

We combine stochastic resetting with Metadynamics and show that this can accelerate molecular dynamics simulations beyond either method separately. We also show that applying stochastic resetting can be an alternative to the challenging task of finding optimal collective variables for Metadynamics, at almost no additional computational cost. Finally, we propose a method to extract unbiased mean first-passage times from Metadynamics simulations with resetting, resulting in an improved tradeoff between speedup and accuracy. 

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