activity
20192024
most citedScheil-Gulliver simulations for the design of functionally graded alloys by additive manufacturing using pycalphad

88 citations · 249 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2024

Additively manufactured Ni-20Cr to V functionally graded material: computational predictions and experimental verification of phase formations

Beril Tonyali, Hui Sun, Brandon Bocklund +5

A database for the Cr-Ni-V system was constructed by modeling the binary Cr-V and ternary Cr-Ni-V systems using the CALPHAD approach aided by density functional theory (DFT)-based…

cs.LG2022

Material Prediction for Design Automation Using Graph Representation Learning

Shijie Bian, Daniele Grandi, Kaveh Hassani +8

Successful material selection is critical in designing and manufacturing products for design automation. Designers leverage their knowledge and experience to create high-quality de…

physics.comp-ph2022

Thermodynamic modeling with uncertainty quantification using the modified quasichemical model in quadruplet approximation: Implementation into PyCalphad and ESPEI

Jorge Paz Soldan Palma, Rushi Gong, Brandon J. Bocklund +9

The modified quasichemical model in the quadruplet approximation (MQMQA) considers the first- and the second-nearest-neighbor coordination and interactions, particularly useful in…

cond-mat.mtrl-sci2020★ 15 cited

Sensitivity estimation for calculated phase equilibria

Richard Otis, Brandon Bocklund, Zi-Kui Liu

The development of a consistent framework for Calphad model sensitivity is necessary for the rational reduction of uncertainty via new models and experiments. In the present work,…

cond-mat.mtrl-sci2020★ 88 cited

Scheil-Gulliver simulations for the design of functionally graded alloys by additive manufacturing using pycalphad

Brandon Bocklund, Lourdes D. Bobbio, Richard A. Otis +2

Additive manufacturing (AM), through directed energy deposition, supports planned composition changes between locations within a single component, allowing for functionally graded…

cond-mat.mtrl-sci2019★ 87 cited

ESPEI for efficient thermodynamic database development, modification, and uncertainty quantification: application to Cu-Mg

Brandon Bocklund, Richard Otis, Aleksei Egorov +3

The software package ESPEI has been developed for efficient evaluation of thermodynamic model parameters within the CALPHAD method. ESPEI uses a linear fitting strategy to paramete…

cond-mat.mtrl-sci2019★ 59 cited

Quantified Uncertainty in Thermodynamic Modeling for Materials Design

Noah H Paulson, Brandon J Bocklund, Richard A Otis +2

Phase fractions, compositions and energies of the stable phases as a function of macroscopic composition, temperature, and pressure (X-T-P) are the principle correlations needed fo…