Andrea Jokisaari
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View article: Phase-field modeling of radiation-induced composition redistribution: An application to additively manufactured austenitic Fe-Cr-Ni
Phase-field modeling of radiation-induced composition redistribution: An application to additively manufactured austenitic Fe-Cr-Ni Open
Multicomponent alloys undergoing irradiation damage develop radiation-induced composition redistribution at point defect sinks such as grain boundaries (GBs) and dislocations. Such redistribution results in undesired changes to their mecha…
View article: Efficient spectrally-resolved electron transport for thermal property prediction
Efficient spectrally-resolved electron transport for thermal property prediction Open
Predicting thermal conductivity from the transport of electrons is a complex challenge which must be addressed for the design and production of nano- and microscale devices. In this work, we describe our progress in simulating thermal elec…
View article: Report on the Integration of Experimental and Modeling Data for Initial Equivalence Study of Microstructural Evolution in Irradiated LPBF 316SS
Report on the Integration of Experimental and Modeling Data for Initial Equivalence Study of Microstructural Evolution in Irradiated LPBF 316SS Open
Advanced materials and manufacturing technologies are poised to improve the safety and design characteristics of nuclear technologies and meet US energy, environmental, and economic needs. In particular, metal additive manufacturing (AM) p…
View article: Environmental Degradation in Advanced Reactor Environments
Environmental Degradation in Advanced Reactor Environments Open
The Advanced Materials and Manufacturing Technologies (AMMT) program operating under the Department of Energy Office of Nuclear Energy is accelerating the qualification and deployment of additively manufactured materials in advanced reacto…
View article: Defect Production and Microstructural Feature Impact for Radiation Damage in Additively Manufactured 316 Stainless Steel
Defect Production and Microstructural Feature Impact for Radiation Damage in Additively Manufactured 316 Stainless Steel Open
This milestone presents multi-scale modeling research results for additively manufactured 316 stainless steel. A combination of phase field, cluster dynamics, molecular dynamics, and density functional theory with machine learning is used,…
View article: Multiscale and Machine Learning Modeling for Process-informed Microstructure Prediction in Additively Manufactured Materials Using MALAMUTE
Multiscale and Machine Learning Modeling for Process-informed Microstructure Prediction in Additively Manufactured Materials Using MALAMUTE Open
Advanced Materials and Manufacturing Technologies (AMMT) program under the Department of Energy Office of Nuclear Energy, aims to develop and qualify additively-manufactured materials for nuclear applications. The key challenges to these e…
View article: Irradiation and corrosion testing of laser powder bed fusion-manufactured materials in the AMMT program
Irradiation and corrosion testing of laser powder bed fusion-manufactured materials in the AMMT program Open
The Advanced Materials and Manufacturing Technologies (AMMT) program operating under the Department of Energy Office of Nuclear Energy is accelerating the qualification and deployment of additively manufactured materials in advanced reacto…
View article: Neutron Irradiation Experiments
Neutron Irradiation Experiments Open
This presentation discusses the ongoing and upcoming neutron irradiation experiments within the Advanced Materials and Manufacturing Technologies (AMMT) program for the 2024 AMMT program review meeting. Ongoing and upcoming neutron irradia…
View article: Radiation testing of AM materials [Slides]
Radiation testing of AM materials [Slides] Open
This presentation discusses the combined irradiation testing methods, strategies, and high-level results of the Advanced Materials and Manufacturing Technologies program. Included are neutron irradiation, ion irradiation, and post-irradiat…
View article: Understanding the effect of crystal anisotropy on grain growth, texturing and transport via the orthorhombic ?-U system [Slides]
Understanding the effect of crystal anisotropy on grain growth, texturing and transport via the orthorhombic ?-U system [Slides] Open
The alpha phase of uranium exhibits the orthorhombic crystal structure, resulting in significant physical property anisotropy. These complex properties make the material challenging to work with in engineering settings but provide a rich a…
View article: 20A44-121: Modeling and characterization of α-U to accelerate metallic fuels development [Slides]
20A44-121: Modeling and characterization of α-U to accelerate metallic fuels development [Slides] Open
This presentation contains a high-level description of the Idaho National Laboratory Laboratory Directed Research and Development (LDRD) project, 20A44-121: Modeling and characterization of α-U to accelerate metallic fuels development. It …
View article: Physics-based modeling and data analytics [Slides]
Physics-based modeling and data analytics [Slides] Open
This presentation contains a summary of ongoing work within the physics-based modeling and data analytics work package within the Nuclear Materials Discovery and Qualification initiative (NMDQi). Topics include work on MOOSE-based crystal …
View article: Promoting the Regulatory Acceptance of Combined Ion and Neutron Irradiation for Material Degradation in Nuclear Reactors
Promoting the Regulatory Acceptance of Combined Ion and Neutron Irradiation for Material Degradation in Nuclear Reactors Open
The Advanced Materials and Manufacturing Technologies (AMMT) program within the Department of Energy Office of Nuclear Energy has developed its current recommendation for promoting the use of combined ion and neutron irradiation data for t…
View article: Hybrid physics-based and machine learning tools for materials assessment
Hybrid physics-based and machine learning tools for materials assessment Open
In this work, we develop novel physics-based and machine learning computational techniques to predict fundamental properties of metallic systems that affect radiation damage behavior in reactor structural materials. Oftentimes, atomistic p…
View article: Multiscale and Machine Learning Modeling for Additive Manufacturing
Multiscale and Machine Learning Modeling for Additive Manufacturing Open
Additive manufacturing (AM) techniques provide the opportunity to simultaneously design new materials and components with complex structures in less time, enabling faster material developments. Even though compositionally similar, the text…
View article: MDDC Multi-Length Scale Data Architecture Contribution Report – PNNL, INL, ANL, LANL and ORNL
MDDC Multi-Length Scale Data Architecture Contribution Report – PNNL, INL, ANL, LANL and ORNL Open
This report offers a comprehensive view of data streams currently generated at Pacific Northwest National Laboratory, Idaho National Laboratory, Argonne National Laboratory, Los Alamos National Laboratory, and Oak Ridge National Laboratory…
View article: Preliminary prediction of long-term aging and creep behavior of AM 316 SS
Preliminary prediction of long-term aging and creep behavior of AM 316 SS Open
This report describes the development of initial mechanism models for the long term behavior of additively manufactured (AM), laser powder-bed fusion 316H stainless steel under the conditions expected in future advanced nuclear reactors. T…
View article: Corrosion Testing Needs and Considerations for Additively Manufactured Materials in Nuclear Reactors
Corrosion Testing Needs and Considerations for Additively Manufactured Materials in Nuclear Reactors Open
The Advanced Materials and Manufacturing Technologies (AMMT) program within the Department of Energy, Office of Nuclear Energy (DOE-NE) has developed its current recommendation for its corrosion testing strategy to deploy additively manufa…
View article: Preliminary results addressing material qualification using combined ion irradiation and modeling data
Preliminary results addressing material qualification using combined ion irradiation and modeling data Open
Additively-manufactured (AM) materials have attracted increasing attention in recent years as a new method to make novel and customized components. While AM and conventionally produced materials are compositionally similar, they do possess…