Faculty

Institution

Unit

Venue

Imre Pázsit

University of Michigan

Affiliations

Nuclear Engineering and Radiological Sciences

NoneImre Pázsit is currently serving as a Nuclear Engineering And Radiological Sciences faculty at University of Michigan.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Imre Pázsit

University of Michigan

You can click a keyword to filter the displayed items

nuclear physics nuclear science nuclear engineering applied physics nuclear energy physics particle physics engineering radiation oncology atomic physics instrumentation accelerator technology accelerator physics radiation detection neutron noise fusion engineering nuclear safety machine learning experimental analysis neutron fluctuations neural networks vibrations thermal engineering particle accelerators instrument science neutron scattering delayed neutrons artificial intelligence energy research neutron source two-group theory multiple emission sources neutron noise diagnostics artificial neural networks gamma multiplicities fission chamber signals noise power system analysis condition monitoring nuclear decays experimental verification molten salt reactors moderator temperature coefficient reactor diagnostics multiplicity moments particle beam theoretical analysis health monitoring perturbation methods surface characterization short-term variability power system control branching processes solid-state electronics condensed matter laboratory investigation fusion science atomic spectroscopy spectral theory scientometrics monte carlo methods monte carlo nuclear power wave propagation thermal analysis surface reactivity physical acoustics failure detection elasticity (physics) electron diffraction electron physic solid-state physics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Reconstructing Patterns of Missing Fuel Pins in Pwr Spent Nuclear Fuel Assemblies via Cnns. Annals of Nuclear Energy (2026)

Search for Scaling Laws in Nuclear and Radiological Events. Nuclear Science and Engineering (2026)

The Role of Diffusion Theory to Describe Multiplicity Moments. SSRN Electronic Journal (2026)

A Simple Model of Prompt Neutron Leakage Self-Multiplication for Use in Nuclear Materials Assay. Progress in Nuclear Energy (2025)

Stephen CroftAndrea FavalliMalcolm JoyceImre PázsitMelissa Styth

materials sciencesimple modelnuclear physics

Sweden. Routledge eBooks (2025)

David Davies

Calculation of the Multiplicity Moments in Nuclear Safeguards With Forward Transport Theory. Annals of Nuclear Energy (2024)

Liliane Basso BarichelloImre Pázsit

nuclear engineeringmultiplicity momentsnuclear safetynuclear scienceforward transport theorynuclear energynuclear safeguards

Kinetics, Dynamics, and Neutron Noise in Stationary Molten Salt Reactors. Elsevier eBooks (2024)

Imre PázsitVictor Dykin

nuclear physicsnuclear engineeringengineering

On the Use of Neutron Flux Gradient With Anns for the Detection of Diverted Spent Nuclear Fuel. Annals of Nuclear Energy (2024)

Moad Al-dbissiImre PázsitRiccardo RossaAlessandro BorellaPaolo Vinai

radiation oncologyneutron flux gradientnuclear physicsnuclear energy

Theory of Neutron Multiplicity Counting in an Energy-Dependent Transport Model. (2024)

Victor DykinSenada AvdicImre PázsitPaolo Vinai

nuclear physicsneutron multiplicity countingtheoretical modelingenergy-dependent transport modeltransport phenomenaelectrical engineering

Identification of Diversions in Spent Pwr Fuel Assemblies by Pdet Signatures Using Artificial Neural Networks (Anns). Annals of Nuclear Energy (2023)

Moad Al-dbissiRiccardo RossaAlessandro BorellaImre PázsitPaolo Vinai

pattern recognitionnuclear physicsnuclear engineeringengineeringradiation oncologynuclear sciencenuclear energymachine learningmaterials scienceartificial neural networkspdet signatures

1
2
3
4
5
26
10 / page

Imre Pázsit

University of Michigan

Affiliations

Nuclear Engineering and Radiological Sciences

NoneImre Pázsit is currently serving as a Nuclear Engineering And Radiological Sciences faculty at University of Michigan.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Imre Pázsit

University of Michigan

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Reconstructing Patterns of Missing Fuel Pins in Pwr Spent Nuclear Fuel Assemblies via Cnns. Annals of Nuclear Energy (2026)

Search for Scaling Laws in Nuclear and Radiological Events. Nuclear Science and Engineering (2026)

The Role of Diffusion Theory to Describe Multiplicity Moments. SSRN Electronic Journal (2026)

A Simple Model of Prompt Neutron Leakage Self-Multiplication for Use in Nuclear Materials Assay. Progress in Nuclear Energy (2025)

Stephen CroftAndrea FavalliMalcolm JoyceImre PázsitMelissa Styth

materials sciencesimple modelnuclear physics

Sweden. Routledge eBooks (2025)

David Davies

Calculation of the Multiplicity Moments in Nuclear Safeguards With Forward Transport Theory. Annals of Nuclear Energy (2024)

Liliane Basso BarichelloImre Pázsit

nuclear engineeringmultiplicity momentsnuclear safetynuclear scienceforward transport theorynuclear energynuclear safeguards

Kinetics, Dynamics, and Neutron Noise in Stationary Molten Salt Reactors. Elsevier eBooks (2024)

Imre PázsitVictor Dykin

nuclear physicsnuclear engineeringengineering

On the Use of Neutron Flux Gradient With Anns for the Detection of Diverted Spent Nuclear Fuel. Annals of Nuclear Energy (2024)

Moad Al-dbissiImre PázsitRiccardo RossaAlessandro BorellaPaolo Vinai

radiation oncologyneutron flux gradientnuclear physicsnuclear energy

Theory of Neutron Multiplicity Counting in an Energy-Dependent Transport Model. (2024)

Victor DykinSenada AvdicImre PázsitPaolo Vinai

nuclear physicsneutron multiplicity countingtheoretical modelingenergy-dependent transport modeltransport phenomenaelectrical engineering

Identification of Diversions in Spent Pwr Fuel Assemblies by Pdet Signatures Using Artificial Neural Networks (Anns). Annals of Nuclear Energy (2023)

Moad Al-dbissiRiccardo RossaAlessandro BorellaImre PázsitPaolo Vinai

pattern recognitionnuclear physicsnuclear engineeringengineeringradiation oncologynuclear sciencenuclear energymachine learningmaterials scienceartificial neural networkspdet signatures

1
2
3
4
5
26
10 / page

Similar Faculty Members

Igor Jovanovic

Institution

University of Michigan

radiation

science studies

Lefteri Tsoukalas

Institution

Purdue University

neuro-fuzzy system

intelligent instrumentation systems

Eric D. Lukosi

Institution

University of Tennessee

accelerator mass spectrometry

nuclear science

Rusi Taleyarkhan

Institution

Purdue University

sensor

nuclear reactor thermal-hydraulics

Ge Yang

Institution

North Carolina State University

characterization (materials science)

nuclear science

Lei Cao

Institution

Ohio State University

applied physics

materials science

Raymond Cao

Institution

Ohio State University

nuclear science

electrical engineering

Yassin A. Hassan

Institution

Texas A&M University

engineering

nuclear engineering

Kai Vetter

Institution

University of California, Berkeley

nuclear physics

particle physics

Thomas Blue

Institution

Ohio State University

semiconductor power devices

nuclear science

Similar Faculty Members

Igor Jovanovic

Institution

University of Michigan

radiation

science studies

Lefteri Tsoukalas

Institution

Purdue University

neuro-fuzzy system

intelligent instrumentation systems

Eric D. Lukosi

Institution

University of Tennessee

accelerator mass spectrometry

nuclear science

Rusi Taleyarkhan

Institution

Purdue University

sensor

nuclear reactor thermal-hydraulics

Ge Yang

Institution

North Carolina State University

characterization (materials science)

nuclear science

Lei Cao

Institution

Ohio State University

applied physics

materials science

Raymond Cao

Institution

Ohio State University

nuclear science

electrical engineering

Yassin A. Hassan

Institution

Texas A&M University

engineering

nuclear engineering

Kai Vetter

Institution

University of California, Berkeley

nuclear physics

particle physics

Thomas Blue

Institution

Ohio State University

semiconductor power devices

nuclear science