scispace - formally typeset
D

Daniel Hägele

Researcher at Ruhr University Bochum

Publications -  65
Citations -  2262

Daniel Hägele is an academic researcher from Ruhr University Bochum. The author has contributed to research in topics: Spin polarization & Exciton. The author has an hindex of 20, co-authored 64 publications receiving 2131 citations. Previous affiliations of Daniel Hägele include University of California, Berkeley & University of Marburg.

Papers
More filters
Journal ArticleDOI

Ultrafast terahertz probes of transient conducting and insulating phases in an electron–hole gas

TL;DR: An ultrafast terahertz probe is employed to investigate directly the dynamical interplay of optically-generated excitons and unbound electron–hole pairs in GaAs quantum wells, revealing an unexpected quasi-instantaneous excitonic enhancement, the formation of insulating excitONS on a 100-ps timescale, and the conditions under which excitonics populations prevail.
Journal ArticleDOI

Spin injection into semiconductors

TL;DR: In this article, the authors proposed and demonstrated a most efficient spin injection using diluted magnetic semiconductors as spin aligners, which proved the feasibility of the spin-alignment mechanism.
Journal ArticleDOI

Spin transport in GaAs

TL;DR: In this paper, an almost complete conservation of the orientation of the electron spin during transport in GaAs over a distance as long as 4 μm and fields up to 6 kV/cm was demonstrated.
Journal ArticleDOI

Laser threshold reduction in a spintronic device

TL;DR: In this article, the authors demonstrate a reduction of the threshold of a semiconductor laser by optically pumping spin-polarized electrons in the gain medium, and theoretically show that their concept can be generalized to an electrically pumped laser.
Journal ArticleDOI

Spin noise spectroscopy in GaAs.

TL;DR: The electron-spin relaxation time and the electron Landé g factor in -doped GaAs at low temperatures is measured and good agreement of the measured noise spectrum with a theory based on Poisson distribution probability is found.