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J. Tranchida

5 papers hereh-index 7154 citations16 works total

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

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3
  • cond-mat.mes-hall1
  • physics.comp-ph1
same name
  • J. Tranchida — 10 papers, h 7
  • J. Tranchida — 2 papers, h 3
  • J. Tranchida — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedQuantum-accurate magneto-elastic predictions with classical spin-lattice dynamics

56 citations · 130 across the 5 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

3 papers · 1 filter

cond-mat.mtrl-sci2022★ 24 cited

Machine Learned Interatomic Potential for Dispersion Strengthened Plasma Facing Components

E. L. Sikorski, M. A. Cusentino, M. J. McCarthy +3

Tungsten (W) is a material of choice for the divertor material due to its high melting temperature, thermal conductivity, and sputtering threshold. However, W has a very high britt…

cond-mat.mtrl-sci2022★ 7 cited

A feasibility analysis towards the simulation of hysteresis with spin-lattice dynamics

G. dos Santos, F. Romá, J. Tranchida +3

We use spin-lattice dynamics simulations to study the possibility of modeling the magnetic hysteresis behavior of a ferromagnetic material. The temporal evolution of the magnetic a…

cond-mat.mtrl-sci2021★ 56 cited

Quantum-accurate magneto-elastic predictions with classical spin-lattice dynamics

Svetoslav Nikolov, Mitchell A. Wood, Attila Cangi +5

A data-driven framework is presented for building magneto-elastic machine-learning interatomic potentials (ML-IAPs) for large-scale spin-lattice dynamics simulations. The magneto-e…

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