Results 71 to 80 of about 23,116,968 (338)
Scaling law for excitons in 2D perovskite quantum wells
Nature Communications, 2018 Ruddlesden–Popper halide perovskites are 2D solution-processed quantum wells with a general formula A2A’n-1MnX3n+1, where optoelectronic properties can be tuned by varying the perovskite layer thickness (n-value), and have recently emerged as efficient ...
J. Blancon +19 more
semanticscholar +1 more source
A quantum algorithm for evolving open quantum dynamics on quantum computing devices [PDF]
Scientific Reports, 2019 Designing quantum algorithms for simulating quantum systems has seen enormous progress, yet few studies have been done to develop quantum algorithms for open quantum dynamics despite its importance in modeling the system-environment interaction found in ...
Zixuan Hu, Rongxin Xia, S. Kais
semanticscholar +1 more source
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Scientific ReportsSequence-dependent mechanical properties of DNA could play essential roles in nuclear processes by affecting histone-DNA interactions. Previously, we found that the DNA entry site of the first nucleosomes from the transcription start site (+ 1 nucleosome)
Tomoko Sunami +7 more
doaj +1 more source
Ground-state energy estimation of the water molecule on a trapped-ion quantum computer
npj Quantum Information, 2020 Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers.
Y. Nam +26 more
semanticscholar +1 more source
Training of quantum circuits on a hybrid quantum computer [PDF]
Science Advances, 2018 We train generative modeling circuits on a quantum hybrid computer showing an optimization strategy and a resource trade-off. Generative modeling is a flavor of machine learning with applications ranging from computer vision to chemical design.
D. Zhu +12 more
semanticscholar +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Quantum isolated horizons and black hole entropy
, 2012 We give a short introduction to the approaches currently used to describe black holes in loop quantum gravity. We will concentrate on the classical issues related to the modeling of black holes as isolated horizons, give a short discussion of their ...
G., J. Fernando Barbero +2 more
core +1 more source
Nonlinear Models in Quantum Optics through Quantum Algebras [PDF]
Journal of Non-linear Mathematical Physics, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ballesteros, Angel, Chumakov, Sergey
openaire +2 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source