Michael Hagan

Michael Hagan

Brandeis University

H-index: 48

North America-United States

About Michael Hagan

Michael Hagan, With an exceptional h-index of 48 and a recent h-index of 34 (since 2020), a distinguished researcher at Brandeis University, specializes in the field of statistical mechanics, simulations, self-assembly, virus assembly.

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

The interplay between activity and elasticity in model active composites

Limits of economy and fidelity for programmable assembly of size-controlled triply periodic polyhedra

Learning active nematohydrodynamics with SINDy-PI

Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics

Deep learning-based optical flow outperforms PIV in obtaining velocity fields from experimental videos

Exploring the Formation of Initial Disclination Loops of Active Nematics through Particle-Based Simulations

Hierarchical assembly is more robust than egalitarian assembly in synthetic capsids

Liquid-Liquid Phase Separation Enhances the Self-Assembly of Viral Capsids

Michael Hagan Information

University

Position

Department of Physics

Citations(all)

8637

Citations(since 2020)

4173

Cited By

7311

hIndex(all)

48

hIndex(since 2020)

34

i10Index(all)

89

i10Index(since 2020)

80

Email

University Profile Page

Brandeis University

Google Scholar

View Google Scholar Profile

Michael Hagan Skills & Research Interests

statistical mechanics

simulations

self-assembly

virus assembly

Top articles of Michael Hagan

Title

Journal

Author(s)

Publication Date

The interplay between activity and elasticity in model active composites

Bulletin of the American Physical Society

Layne Frechette

Aparna Baskaran

Michael Hagan

2024/3/5

Limits of economy and fidelity for programmable assembly of size-controlled triply periodic polyhedra

arXiv preprint arXiv:2309.04632

Carlos M Duque

Douglas M Hall

Botond Tyukodi

Michael F Hagan

Christian D Santangelo

...

2023/9/8

Learning active nematohydrodynamics with SINDy-PI

Bulletin of the American Physical Society

Chris Amey

Michael Hagan

Aparna Baskaran

2024/3/5

Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics

arXiv preprint arXiv:2404.15497

Phu N Tran

Sattvic Ray

Linnea Lemma

Yunrui Li

Reef Sweeney

...

2024/4/23

Deep learning-based optical flow outperforms PIV in obtaining velocity fields from experimental videos

Bulletin of the American Physical Society

Phu Tran

Michael Hagan

Zvonimir Dogic

Pengyu Hong

Aparna Baskaran

...

2024/3/5

Exploring the Formation of Initial Disclination Loops of Active Nematics through Particle-Based Simulations

Bulletin of the American Physical Society

Yingyou Ma

Michael Hagan

Aparna Baskaran

2024/3/8

Hierarchical assembly is more robust than egalitarian assembly in synthetic capsids

Proceedings of the National Academy of Sciences

Wei-Shao Wei

Anthony Trubiano

Christian Sigl

Stefan Paquay

Hendrik Dietz

...

2024/2/13

Liquid-Liquid Phase Separation Enhances the Self-Assembly of Viral Capsids

Bulletin of the American Physical Society

Naren Sundararajan

Anthony Trubiano

Michael Hagan

2024/3/7

A machine learning approach to robustly determine director fields and analyze defects in active nematics

Soft matter

Yunrui Li

Zahra Zarei

Phu N Tran

Yifei Wang

Aparna Baskaran

...

2024

" Inverting" Caspar-Klug design rules for programmable assembly of size-controlled minimal-surface assemblies

Bulletin of the American Physical Society

Christian Santangelo

Carlos Duque

Douglas Hall

Botond Tyukodi

Michael Hagan

...

2024/3/6

Active membrane deformations of a minimal synthetic cell

bioRxiv

Alfredo Sciortino

Hammad Faizi

Sarvesh Uplap

Layne Frechette

Matthew SE Peterson

...

2023

Economical routes to size-specific assembly of self-closing structures

arXiv preprint arXiv:2311.01383

Thomas E Videbæk

Daichi Hayakawa

Gregory M Grason

Michael F Hagan

Seth Fraden

...

2023/11/2

Relating the steady states of 3D dry active nematics to microscopic parameters through particle-based simulations

APS March Meeting Abstracts

Yingyou Ma

Michael Hagan

Aparna Baskaran

Chris Amey

2023

From disks to channels: dynamics of active nematics confined to an annulus

Soft matter

Chaitanya Joshi

Zahra Zarei

Michael M Norton

Seth Fraden

Aparna Baskaran

...

2023

Effect of ionic strength on the assembly of simian vacuolating virus capsid protein around poly (styrene sulfonate)

The European Physical Journal E

Roi Asor

Surendra W Singaram

Yael Levi-Kalisman

Michael F Hagan

Uri Raviv

2023/11

Data-driven model discovery using SINDy on particle based simulations of dry active nematics

Bulletin of the American Physical Society

Chris Amey

Yingyou Ma

Raymond Adkins

Paul Kreymborg

Zvonimir Dogic

...

2023/3/6

Markov State Model Optimization of Self-Assembly Protocols for Finite Subunit Pool Systems

APS March Meeting Abstracts

Anthony Trubiano

Michael Hagan

2023

Design principles for transporting vesicles with enclosed active particles (a)

Europhysics letters

Sarvesh Uplap

Michael F Hagan

Aparna Baskaran

2023/10/10

Hierarchical assembly is more efficient than egalitarian assembly in synthetic capsids

APS March Meeting Abstracts

Wei-Shao Wei

Anthony Trubiano

Christian Sigl

Stefan Paquay

Hendrik Dietz

...

2023

Self-assembly coupled to liquid-liquid phase separation

PLoS computational biology

Michael F Hagan

Farzaneh Mohajerani

2023/5/15

See List of Professors in Michael Hagan University(Brandeis University)

Co-Authors

H-index: 117
David Chandler

David Chandler

University of California, Berkeley

H-index: 52
Seth Fraden

Seth Fraden

Brandeis University

H-index: 47
Zvonimir Dogic

Zvonimir Dogic

University of California, Santa Barbara

H-index: 33
Greg Grason

Greg Grason

University of Massachusetts Amherst

H-index: 31
Aparna Baskaran

Aparna Baskaran

Brandeis University

H-index: 16
Jason D. Perlmutter

Jason D. Perlmutter

Brandeis University

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