Matthew Maschmann

Matthew Maschmann

University of Missouri

H-index: 27

North America-United States

About Matthew Maschmann

Matthew Maschmann, With an exceptional h-index of 27 and a recent h-index of 18 (since 2020), a distinguished researcher at University of Missouri, specializes in the field of Nanoscale Materials, Energy Transport, Sensing.

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

Measurements of CNT Forest Self-Assembly from In-situ ESEM Synthesis

Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers

Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN

Characterizing the Field Emission Properties of Vertically Aligned Carbon Nanotube Cathodes for RF Sources

Towards Automated Nanoenergetic Reaction Characterization with Computational Vision

Area selective nanoscale-thin layer deposition via precise functional group lithography

Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests

CNT-NeRF: Carbon nanotube forest depth layer decomposition in SEM imagery using generative adversarial networks

Matthew Maschmann Information

University

Position

___

Citations(all)

1951

Citations(since 2020)

819

Cited By

1478

hIndex(all)

27

hIndex(since 2020)

18

i10Index(all)

47

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Matthew Maschmann Skills & Research Interests

Nanoscale Materials

Energy Transport

Sensing

Top articles of Matthew Maschmann

Title

Journal

Author(s)

Publication Date

Measurements of CNT Forest Self-Assembly from In-situ ESEM Synthesis

arXiv preprint arXiv:2402.19336

Ramakrishna Surya

Gordon L Koerner

Taher Hajilounezhad

Kaveh Safavigerdin

Prasad Calyam

...

2024/2/29

Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers

Sensors

Elizabeth Bellott

Yushan Li

Connor Gunter

Scott Kovaleski

Matthew R Maschmann

2023/5/30

Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN

Kaveh Safavigerdini

Ramakrishna Surya

Andrew Reinhard

Zach Quinlan

Filiz Bunyak

...

2023/9/27

Characterizing the Field Emission Properties of Vertically Aligned Carbon Nanotube Cathodes for RF Sources

C Gunter

SD Kovaleski

E Bellott

M Maschmann

B Weatherford

2023/5/21

Towards Automated Nanoenergetic Reaction Characterization with Computational Vision

Timothy B Gaines

J Alex Hurt

James M Keller

Grant J Scott

Camden I Boyle

...

2023/9/27

Area selective nanoscale-thin layer deposition via precise functional group lithography

2023/4/27

Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests

Prashanth Reddy Kotha

Minasadat Attari

Matthew Maschmann

Filiz Bunyak

2023/9/27

CNT-NeRF: Carbon nanotube forest depth layer decomposition in SEM imagery using generative adversarial networks

Nguyen P Nguyen

Ramakrishna Surya

Prasad Calyam

Kannappan Palaniappan

Matthew Maschmann

...

2023

Observation of Spallation in an Isolated Aluminum Nanoparticles and 2D Molybdenum Oxide System by Rapid Plasmonic Heating

Naadaa Zakiyyan

Camden Boyle

Cherian J Mathai

Keshab Gangopadhyay

Jacob McFarland

...

2023/7/2

Using Electrical Resistance As a Diagnostic During Process-Structure-Property Investigation of CNT Forests

Ramakrishna Surya

Matthew R Maschmann

2023/10/29

Towards automatic characterization of nano-energetic material response to directed energy

Timothy Gaines

Camden Boyle

J Alex Hurt

Matthew R Maschmann

James M Keller

...

2023/6/15

Predicting mechanical properties of carbon nanotube (cnt) images using multi-layer synthetic finite element model simulations

Construction and Building Materials

Kaveh Safavigerdini

Koundinya Nouduri

Ramakrishna Surya

Andrew Reinhard

Zach Quinlan

...

2023/10/8

Remote Instrumentation Science Environment for Intelligent Image Analytics

Mauro Lemus Alarcon

Songjie Wang

Nguyen Nguyen

Ashish Pandey

Filiz Bunyak

...

2022/10/11

Area‐selective atomic layer deposition on HOPG enabled by writable electron beam functionalization

Nano Select

Gordon Koerner

Quinton K Wyatt

Brady Bateman

Camden Boyle

Matthias J Young

...

2022/10

Test Stand Design and Initial Results of Carbon Nanotube Cathodes for RF Sources

C Gunter

E Yang

J Williams

S Kovaleski

E Bellott

...

2022/5/22

Spallation of isolated aluminum nanoparticles by rapid photothermal heating

ACS Applied Materials & Interfaces

Naadaa Zakiyyan

Cherian Mathai

Jacob McFarland

Shubhra Gangopadhyay

Matthew R Maschmann

2022/11/29

Self-supervised orientation-guided deep network for segmentation of carbon nanotubes in sem imagery

Computer Vision–ECCV 2022 Workshops. ECCV 2022

Ramakrishna Surya

Matthew Maschmann Maschmann

Prasad Calyam

Kannappan Palaniappan

Filiz Bunyak

2023/2

Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning

npj Computational Materials

Taher Hajilounezhad

Rina Bao

Kannappan Palaniappan

Filiz Bunyak

Prasad Calyam

...

2021/8/19

Surface plasmon enhanced fluorescence temperature mapping of aluminum nanoparticle heated by laser

Sensors

Naadaa Zakiyyan

Charles M Darr

Biyan Chen

Cherian Mathai

Keshab Gangopadhyay

...

2021/2/24

In-situ scanning electron microscope chemical vapor deposition as a platform for nanomanufacturing insights

Gordon Koerner

Ramakrishna Surya

Kannappan Palaniappan

Prasad Calyam

Filiz Bunyak

...

2021/11/1

See List of Professors in Matthew Maschmann University(University of Missouri)

Co-Authors

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