P. Pearce

activity

20172022

most citedSolcore: A multi-scale, python-based library for modelling solar cells and semiconductor materials

90 citations · 98 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2022

Compositional dependence of direct transition energies in Si $_{x}$ Ge $_{1 - x - y}$ Sn $_{y}$ alloys lattice-matched to Ge/GaAs

Phoebe M. Pearce, Sheau Wei Ong, Andrew D. Johnson +2

Si $_{x}$ Ge $_{1 - x - y}$ Sn $_{y}$ ternary alloys are a candidate material system for use in solar cells and other optoelectronic devices. We report on the direct transition energies and str…

cond-mat.mtrl-sci2021★ 8 cited

Electronic and optical properties of Si $_{x}$ Ge $_{1 - x - y}$ Sn $_{y}$ alloys lattice-matched to Ge

Phoebe M. Pearce, Christopher A. Broderick, Michael P. Nielsen +2

We present a combined experimental and theoretical analysis of the evolution of the near-band gap electronic and optical properties of Si $_{x}$ Ge $_{1 - x - y}$ Sn $_{y}$ alloys lattice-m…

physics.app-ph2017★ 90 cited

Solcore: A multi-scale, python-based library for modelling solar cells and semiconductor materials

D. Alonso-Álvarez, T. Wilson, P. Pearce +3

Computational models can provide significant insight into the operation mechanisms and deficiencies of photovoltaic solar cells. Solcore is a modular set of computational tools, wr…

Compositional dependence of direct transition energies in Six​Ge1−x−y​Sny​ alloys lattice-matched to Ge/GaAs

Electronic and optical properties of Six​Ge1−x−y​Sny​ alloys lattice-matched to Ge

Solcore: A multi-scale, python-based library for modelling solar cells and semiconductor materials

Compositional dependence of direct transition energies in Si $_{x}$ Ge $_{1 - x - y}$ Sn $_{y}$ alloys lattice-matched to Ge/GaAs

Electronic and optical properties of Si $_{x}$ Ge $_{1 - x - y}$ Sn $_{y}$ alloys lattice-matched to Ge