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Personal profile

Education/Academic qualification

Materials Engineering, PhD, Rensselaer Polytechnic Institute

… → 1982

Physics, BS, Rensselaer Polytechnic Institute

… → 1977

Fingerprint Dive into the research topics where Peter W Voorhees is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 6 Similar Profiles
Coarsening Engineering & Materials Science
Ostwald ripening Engineering & Materials Science
Microstructure Engineering & Materials Science
Liquids Engineering & Materials Science
Volume fraction Engineering & Materials Science
nanowires Physics & Astronomy
liquids Physics & Astronomy
Precipitates Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2000 2023

Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
Industrial applications
Artificial intelligence
Learning systems
Costs
Genes
solidification
manufacturing
grain size
baskets
microstructure

Research Output 1982 2020

semantics
Tomography
tomography
Semantics
Neural networks

Simulation of coarsening in two-phase systems with dissimilar mobilities

Andrews, W. B., Voorhees, P. W. & Thornton, K., Feb 15 2020, In : Computational Materials Science. 173, 109418.

Research output: Contribution to journalArticle

binary systems (materials)
Coarsening
Simulation
simulation
Rate constants
1 Citation (Scopus)

Building towards a universal neural network to segment large materials science imaging datasets

Stan, T., Thompson, Z. T. & Voorhees, P. W., Jan 1 2019, Developments in X-Ray Tomography XII. Muller, B. & Wang, G. (eds.). SPIE, 111131G. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11113).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Materials Science
Materials science
materials science
Imaging
Neural Networks
2 Citations (Scopus)

Capillary-driven elastic attraction between quantum dots

Liu, K., Berbezier, I., Favre, L., Ronda, A., Abbarchi, M., Donnadieu, P., Voorhees, P. W. & Aqua, J. N., Apr 28 2019, In : Nanoscale. 11, 16, p. 7798-7804 7 p.

Research output: Contribution to journalArticle

Semiconductor quantum dots
Nucleation
Interfacial energy
Energy barriers
Self assembly

Conditions for stable operation of solid oxide electrolysis cells: Oxygen electrode effects

Park, B. K., Zhang, Q., Voorhees, P. W. & Barnett, S. A., Oct 2019, In : Energy and Environmental Science. 12, 10, p. 3053-3062 10 p.

Research output: Contribution to journalArticle

Regenerative fuel cells
electrokinesis
electrode
Cerium compounds
oxide