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researcher

B. Uberuaga

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedMachine learning in nuclear materials research

129 citations · 129 across the 2 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2022★ 129 cited

Machine learning in nuclear materials research

Dane Morgan, Ghanshyam Pilania, Adrien Couet +3

Nuclear materials are often demanded to function for extended time in extreme environments, including high radiation fluxes and transmutation, high temperature and temperature grad…

cond-mat.mtrl-sci2020

Light-driven permanent transition from insulator to conductor in Ga2O3

F. A. Selim, D. Rana, S. Agarwal +9

The transition from insulator to conductor can be achieved in some materials but requires modification of both the arrangement of atoms and their electronic configurations. This is…

cond-mat.mtrl-sci2019

Chemical manipulation of hydrogen induced high p-type and n-type conductivity in Ga2O3

Md Minhazul Islam, Maciej Oskar Liedke, David Winarski +6

Advancement of optoelectronic and high-power devices is tied to the development of wide band gap materials with excellent transport properties. However, bipolar doping (n-type and…

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