Results 141 to 150 of about 1,833,346 (270)
Bioorthogonal chemistry was applied to intracellularly photoactivate Doxorubicin (Dox) using gold nanostars (AuNSt) and near‐infrared (NIR) light. Two prodrugs were used: one photoactivatable, masked with 2‐nitrobenzyl carbamate (proDox1) and another photolabile, masked with 2‐nitrobenzyl diol (proDox2), which was attached to the AuNSt surface.
Juan José Esteve‐Moreno +15 more
wiley +1 more source
Quantum theory from the perspective of general probabilistic theories
This thesis explores various perspectives on quantum phenomena, and how our understanding of these phenomena is informed by the study of general probabilistic theories. Particular attention is given to quantum nonlocality, and its interaction with areas of physical and mathematical interest such as entropy, reversible dynamics, information-based games ...
openaire +1 more source
Empirical research often requires a method how to convert a deterministic economic theory into an econometric model. A popular method is to add a random error term on the utility scale. This method, however, violates stochastic dominance.
Pavlo R. Blavatskyy
core
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
Thermodynamics and the Structure of Quantum Theory as a Generalized Probabilistic Theory
Master thesis, Heidelberg University, April 2015. 116 pages, 30 figures, 7 pages Mathematica output.
openaire +2 more sources
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Probabilistic combination of static and dynamic gait features for verification
This paper describes a novel probabilistic framework for biometric identification and data fusion. Based on intra and inter-class variation extracted from training data, posterior probabilities describing the similarity between two feature vectors may be
Bazin, Alex I., Nixon, Mark S.
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Switchable Magnonic Crystals Based on Spin Crossover/CrSBr Heterostructures
Multiscale modeling is employed to investigate the functionality of a light‐controlled, tunable magnonic crystal based on spin‐crossover Fe‐pz molecules integrated with a monolayer of CrSBr. Ab initio simulations confirm that the molecules remain functional on the CrSBr surface, while a semiclassical elastic model demonstrates that light‐induced ...
Andrei Shumilin +4 more
wiley +1 more source

