Faculty

Institution

Unit

Venue

Enrico Bellotti

Professor

Boston University

Affiliations

College of Engineering

Biomedical Engineering

Electrical and Computer Engineering

Materials Science and Engineering

Enrico Bellotti is currently serving as a Biomedical Engineering Professor at Boston University.

Honors

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Experiences

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Education

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Enrico Bellotti

Boston University

Professor

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materials science applied physics optoelectronics electrical engineering condensed matter physics electronic materials semiconductors solid-state electronics electronics physics photonics microelectronics thin films aluminum gallium nitride particle physics optical engineering semiconductor technology semiconductor devices infrared optic atomic physics numerical simulations semiconductor nanostructures infrared spectroscopy infrared sensors condensed matter gan power device printed electronics device modeling wide-bandgap semiconductors power electronics numerical study impact ionization laser science monte carlo simulation first-principles study electronic structure experimental analysis composite science compound semiconductors semiconductor materials charge transport wurtzite gan electron transport numerical modeling carrier transport radiation detection charge carrier transport organic electronics migration mechanisms monte carlo study luminescence thermal engineering light science applied geophysics quantum technologies surface reactivity ab-initio methods oxide electronics beam optics hole transport hgcdte pixel arrays modulation transfer function material chemistry material research nanoparticle research terahertz photonics quantum devices categoryiii-v semiconductor solid-state lighting optical trapping bulk zincblende diffusion barriers carbon-related energy levels metals microwave technology carbon scientific computing computer engineering parallel computing computational electronics modeling and simulation unconventional computing computational materials science

Notable Scholarly Works

Notable Federal Grants

Collaborators

First-Principles Study of the Electronic Properties of Strained Hg1-Xcdxte Alloys. (2024)

Fatimah AlowaMasahiko MatsubaraChris SchaakeEnrico Bellotti

materials sciencefirst-principles studycondensed matter physicselectronic properties

Ab Initio Model of Carrier Transport in Diamond. Physical Review Applied (2024)

M. G. C. AlasioM. ZhuM. MatsubaraM. GoanoE. Bellotti

physicsmaterials sciencecarrier transportatomic physicscondensed matter physicsab-initio methodsapplied physics

Machine-Learning-Assisted Optimization of Ga-Free Type-II Superlattices for Enhanced Vertical Hole Mobility. Journal of Applied Physics (2024)

John GlennonEnrico Bellotti

machine-learning-assisted optimizationapplied physicsga-free type-ii superlattices

Modeling the Impact of Fabrication Variabilities on the Performance of Silicon Avalanche Photodetectors. IEEE photonics journal (2024)

David LiuLuca F. ErricoMatteo G. C. AlasioMike ZhuEnrico Bellotti

materials sciencesemiconductor device fabricationsilicon avalanche photodetectorssemiconductorselectrical engineeringfabrication variabilitiesapplied physicsoptoelectronicsphotonics

Quantum Mechanical Model of Crossing and Anti-Crossing Points in 3D Full-Band Monte Carlo Simulations. Journal of Applied Physics (2024)

Mike ZhuFrancesco BertazziMasahiko MatsubaraEnrico Bellotti

applied physicsparticle physicsanti-crossing pointsapplied mathematics

A Machine-Learning-Accelerated Quantum Transport Study on the Effects of Superlattice Disorder and Strain in a Mid-Wave Infrared Curved Sensor. arXiv (Cornell University) (2023)

Glennon, JohnKyrtsos, AlexandrosO'Masta, MarkNyguyen, Binh-MinhBellotti, Enrico

infrared sensorssuperlattice disorderquantum mechanicsapplied physicsoptoelectronics

Carrier Transport in Cubic Boron Nitride: First-Principles and Semiempirical Models. Physical Review Applied (2023)

M. ZhuM. MatsubaraE. Bellotti

physicsmaterials sciencecarrier transportparticle physicscondensed matter physicscubic boron nitridesemiempirical modelsapplied physics

Extraction of Mobility From Quantum Transport Calculations of Type-II Superlattices. Physical Review Applied (2023)

John GlennonFrancesco BertazziAlberto TibaldiEnrico Bellotti

applied physicstype-ii superlatticesquantum transport calculationscondensed matter physics

Impact of Fabrication Variabilities on Performance of Avalanche Photodetectors. 2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) (2023)

Mike ZhuMatteo G. C. AlasioEnrico Bellotti

materials scienceavalanche photodetectorsoptoelectronicsfabrication variabilities

Machine-Learning-Assisted Optimization of Type-II Superlattices for Enhanced Vertical Hole Mobility. (2023)

John GlennonEnrico Bellotti

machine-learning-assisted optimizationtype-ii superlatticesmachine learningmechanical engineering

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Enrico Bellotti

Professor

Boston University

Affiliations

College of Engineering

Biomedical Engineering

Electrical and Computer Engineering

Materials Science and Engineering

Enrico Bellotti is currently serving as a Biomedical Engineering Professor at Boston University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Enrico Bellotti

Boston University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

First-Principles Study of the Electronic Properties of Strained Hg1-Xcdxte Alloys. (2024)

Fatimah AlowaMasahiko MatsubaraChris SchaakeEnrico Bellotti

materials sciencefirst-principles studycondensed matter physicselectronic properties

Ab Initio Model of Carrier Transport in Diamond. Physical Review Applied (2024)

M. G. C. AlasioM. ZhuM. MatsubaraM. GoanoE. Bellotti

physicsmaterials sciencecarrier transportatomic physicscondensed matter physicsab-initio methodsapplied physics

Machine-Learning-Assisted Optimization of Ga-Free Type-II Superlattices for Enhanced Vertical Hole Mobility. Journal of Applied Physics (2024)

John GlennonEnrico Bellotti

machine-learning-assisted optimizationapplied physicsga-free type-ii superlattices

Modeling the Impact of Fabrication Variabilities on the Performance of Silicon Avalanche Photodetectors. IEEE photonics journal (2024)

David LiuLuca F. ErricoMatteo G. C. AlasioMike ZhuEnrico Bellotti

materials sciencesemiconductor device fabricationsilicon avalanche photodetectorssemiconductorselectrical engineeringfabrication variabilitiesapplied physicsoptoelectronicsphotonics

Quantum Mechanical Model of Crossing and Anti-Crossing Points in 3D Full-Band Monte Carlo Simulations. Journal of Applied Physics (2024)

Mike ZhuFrancesco BertazziMasahiko MatsubaraEnrico Bellotti

applied physicsparticle physicsanti-crossing pointsapplied mathematics

A Machine-Learning-Accelerated Quantum Transport Study on the Effects of Superlattice Disorder and Strain in a Mid-Wave Infrared Curved Sensor. arXiv (Cornell University) (2023)

Glennon, JohnKyrtsos, AlexandrosO'Masta, MarkNyguyen, Binh-MinhBellotti, Enrico

infrared sensorssuperlattice disorderquantum mechanicsapplied physicsoptoelectronics

Carrier Transport in Cubic Boron Nitride: First-Principles and Semiempirical Models. Physical Review Applied (2023)

M. ZhuM. MatsubaraE. Bellotti

physicsmaterials sciencecarrier transportparticle physicscondensed matter physicscubic boron nitridesemiempirical modelsapplied physics

Extraction of Mobility From Quantum Transport Calculations of Type-II Superlattices. Physical Review Applied (2023)

John GlennonFrancesco BertazziAlberto TibaldiEnrico Bellotti

applied physicstype-ii superlatticesquantum transport calculationscondensed matter physics

Impact of Fabrication Variabilities on Performance of Avalanche Photodetectors. 2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) (2023)

Mike ZhuMatteo G. C. AlasioEnrico Bellotti

materials scienceavalanche photodetectorsoptoelectronicsfabrication variabilities

Machine-Learning-Assisted Optimization of Type-II Superlattices for Enhanced Vertical Hole Mobility. (2023)

John GlennonEnrico Bellotti

machine-learning-assisted optimizationtype-ii superlatticesmachine learningmechanical engineering

1
2
3
4
5
25
10 / page

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