Arvind Murugan

Arvind Murugan

University of Chicago

H-index: 25

North America-United States

About Arvind Murugan

Arvind Murugan, With an exceptional h-index of 25 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Chicago, specializes in the field of Statistical physics, biology, materials, neural networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly

Dynamic coexistence driven by physiological transitions in microbial communities

Learning without neurons in physical systems

Learning to self-fold at a bifurcation

Contrastive learning through non-equilibrium memory

Closed ecosystems extract energy through self-organized nutrient cycles

Epithelial tissue confinement inhibits cell growth and leads to volume-reducing divisions

Learning to learn by using nonequilibrium training protocols for adaptable materials

Arvind Murugan Information

University

Position

___

Citations(all)

2269

Citations(since 2020)

1262

Cited By

1430

hIndex(all)

25

hIndex(since 2020)

23

i10Index(all)

34

i10Index(since 2020)

30

Email

University Profile Page

University of Chicago

Google Scholar

View Google Scholar Profile

Arvind Murugan Skills & Research Interests

Statistical physics

biology

materials

neural networks

Top articles of Arvind Murugan

Title

Journal

Author(s)

Publication Date

Pattern recognition in the nucleation kinetics of non-equilibrium self-assembly

Nature

Constantine Glen Evans

Jackson O’Brien

Erik Winfree

Arvind Murugan

2024/1

Dynamic coexistence driven by physiological transitions in microbial communities

bioRxiv

Avaneesh V Narla

Terence Hwa

Arvind Murugan

2024/1/12

Learning without neurons in physical systems

Menachem Stern

Arvind Murugan

2023/3/10

Learning to self-fold at a bifurcation

Physical Review E

Chukwunonso Arinze

Menachem Stern

Sidney R Nagel

Arvind Murugan

2023/2/7

Contrastive learning through non-equilibrium memory

arXiv preprint arXiv:2312.17723

Martin Falk

Adam Strupp

Benjamin Scellier

Arvind Murugan

2023/12/29

Closed ecosystems extract energy through self-organized nutrient cycles

Proceedings of the National Academy of Sciences

Akshit Goyal

Avi I Flamholz

Alexander P Petroff

Arvind Murugan

2023/12/26

Epithelial tissue confinement inhibits cell growth and leads to volume-reducing divisions

Developmental cell

John Devany

Martin J Falk

Liam J Holt

Arvind Murugan

Margaret L Gardel

2023/8/21

Learning to learn by using nonequilibrium training protocols for adaptable materials

Proceedings of the National Academy of Sciences

Martin J Falk

Jiayi Wu

Ayanna Matthews

Vedant Sachdeva

Nidhi Pashine

...

2023/7/4

Ligand-receptor promiscuity enables cellular addressing

Cell systems

Christina J Su

Arvind Murugan

James M Linton

Akshay Yeluri

Justin Bois

...

2022/5/18

Curiosity-driven search for novel non-equilibrium behaviors

arXiv preprint arXiv:2211.02589

Martin J Falk

Finnegan D Roach

William Gilpin

Arvind Murugan

2022/11/4

Standardized excitable elements for scalable engineering of far-from-equilibrium chemical networks

Nature Chemistry

Samuel W Schaffter

Kuan-Lin Chen

Jackson O’Brien

Madeline Noble

Arvind Murugan

...

2022/11

Non-Convex Optimization by Hamiltonian Alternation

arXiv preprint arXiv:2206.14072

Anuj Apte

Kunal Marwaha

Arvind Murugan

2022/6/28

Learning to control active matter

Phys. Rev. Research

Martin J Falk

Vahid Alizadehyazdi

Heinrich Jaeger

Arvind Murugan

2021/9/30

Roadmap on biology in time varying environments

Arvind Murugan

Kabir Husain

Michael J Rust

Chelsea Hepler

Joseph Bass

...

2021/5/17

NF-κB responds to absolute differences in cytokine concentrations

Science signaling

Minjun Son

Andrew G Wang

Hsiung-Lin Tu

Marie Oliver Metzig

Parthiv Patel

...

2021/1/19

Physical constraints on epistasis

Molecular Biology and Evolution

Kabir Husain

Arvind Murugan

2020/10

Continual learning of multiple memories in mechanical networks

Physical Review X

Menachem Stern

Matthew B Pinson

Arvind Murugan

2020/8/25

Supervised learning through physical changes in a mechanical system

Proceedings of the National Academy of Sciences

Menachem Stern

Chukwunonso Arinze

Leron Perez

Stephanie E Palmer

Arvind Murugan

2020/6/30

Tuning environmental timescales to evolve and maintain generalists

Proceedings of the National Academy of Sciences

Vedant Sachdeva

Kabir Husain

Jiming Sheng

Shenshen Wang

Arvind Murugan

2020/6/9

Nonequilibrium statistical mechanics of continuous attractors

Neural computation

Weishun Zhong

Zhiyue Lu

David J Schwab

Arvind Murugan

2020/6/1

See List of Professors in Arvind Murugan University(University of Chicago)