Diego Vaca

Diego Vaca

Georgia Institute of Technology

H-index: 9

North America-United States

About Diego Vaca

Diego Vaca, With an exceptional h-index of 9 and a recent h-index of 7 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Nanotechnolgy, Renewable Energy, Machine Learning Applied to Engineering.

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

MAX Phase Ti2AlN for HfO2 Memristors with Ultra‐Low Reset Current Density and Large On/Off Ratio

Temperature Dependent Thermal Properties of Thin Film Hafnium Oxide

Measurements and numerical calculations of thermal conductivity to evaluate the quality of β-gallium oxide thin films grown on sapphire and silicon carbide by molecular beam …

CYTOP for bonding highly oriented pyrolytic graphite to be used as heat spreader in mobile devices

Reconsidering uncertainty from frequency domain thermoreflectance measurement and novel data analysis by deep learning

Thermal Conductivity of β-Ga2O3 Thin Films Grown by Molecular Beam Epitaxy

Thin dielectric-layer-enabled low-voltage operation of fully printed flexible carbon nanotube thin-film transistors

Ultrafast Thermoreflectance Imaging and Electrothermal Modeling of β-Ga2O3 MESFETs

Diego Vaca Information

University

Position

___

Citations(all)

306

Citations(since 2020)

225

Cited By

137

hIndex(all)

9

hIndex(since 2020)

7

i10Index(all)

8

i10Index(since 2020)

5

Email

University Profile Page

Georgia Institute of Technology

Google Scholar

View Google Scholar Profile

Diego Vaca Skills & Research Interests

Nanotechnolgy

Renewable Energy

Machine Learning Applied to Engineering

Top articles of Diego Vaca

Title

Journal

Author(s)

Publication Date

MAX Phase Ti2AlN for HfO2 Memristors with Ultra‐Low Reset Current Density and Large On/Off Ratio

Advanced Functional Materials

Fabia F Athena

Moses Nnaji

Diego Vaca

Mengkun Tian

Wolfgang Buchmaier

...

2024/2/8

Temperature Dependent Thermal Properties of Thin Film Hafnium Oxide

Wenqing Shen

Diego Vaca

Gary Gibson

Satish Kumar

2023/5/30

Measurements and numerical calculations of thermal conductivity to evaluate the quality of β-gallium oxide thin films grown on sapphire and silicon carbide by molecular beam …

Applied Physics Letters

Diego Vaca

Matthew Barry

Luke Yates

Neeraj Nepal

D Scott Katzer

...

2022/7/25

CYTOP for bonding highly oriented pyrolytic graphite to be used as heat spreader in mobile devices

Diego Vaca

Vanessa Smet

Yogendra Joshi

Satish Kumar

2022/5/31

Reconsidering uncertainty from frequency domain thermoreflectance measurement and novel data analysis by deep learning

Nanoscale and Microscale Thermophysical Engineering

Wenqing Shen

Diego Vaca

Satish Kumar

2020/10/1

Thermal Conductivity of β-Ga2O3 Thin Films Grown by Molecular Beam Epitaxy

Diego Vaca

Luke Yates

Neeraj Nepal

D Scott Katzer

Brian P Downey

...

2020/7/21

Thin dielectric-layer-enabled low-voltage operation of fully printed flexible carbon nanotube thin-film transistors

Nanotechnology

Jialuo Chen

Saswat Mishra

Diego Vaca

Nitish Kumar

Woon-Hong Yeo

...

2020/3/19

Ultrafast Thermoreflectance Imaging and Electrothermal Modeling of β-Ga2O3 MESFETs

IEEE Electron Device Letters

Nitish Kumar

Diego Vaca

Chandan Joishi

Zhanbo Xia

Sidhharth Rajan

...

2020/2/19

Heteroepitaxial growth of β-Ga2O3 films on SiC via molecular beam epitaxy

Journal of Vacuum Science & Technology A

Neeraj Nepal

D Scott Katzer

Brian P Downey

Virginia D Wheeler

Luke O Nyakiti

...

2020/12/1

See List of Professors in Diego Vaca University(Georgia Institute of Technology)

Co-Authors

H-index: 18
Diego Francisco Carrión Galarza (ORCID: 0000-0002-0704-700X)

Diego Francisco Carrión Galarza (ORCID: 0000-0002-0704-700X)

Universidad Politécnica Salesiana

H-index: 8
Andres MONTERO-IZQUIERDO (ORCID: 0000-0001-5366-8029)

Andres MONTERO-IZQUIERDO (ORCID: 0000-0001-5366-8029)

Universidad de Cuenca

H-index: 7
Nitish Kumar

Nitish Kumar

Georgia Institute of Technology

academic-engine