Results 81 to 90 of about 3,092 (256)
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
Algorithm-oriented qubit mapping for variational quantum algorithms
Published by American Physical Society, College Park, Md. [u.a.]
Yanjun Ji, Xi Chen, Ilia Polian, Yue Ban
openaire +4 more sources
Variational approach to photonic quantum circuits via the parameter shift rule
In the era of noisy intermediate-scale quantum computers, variational quantum algorithms are promising approaches for solving optimization tasks by training parameterized quantum circuits with the aid of classical routines informed by quantum ...
Francesco Hoch +11 more
doaj +1 more source
Optoelectronic Nanofluidic Neural Networks for Ionic Computing
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang +10 more
wiley +1 more source
Magnetic DNA Origami Nanorotors
Magnetic actuation is a powerful and broadly applicable actuation mechanism due to its programmability and compatibility with biological entities. Here we demonstrate magnetic DNA origami nanorotors (MADONAs) by assembling magnetic nanocubes on DNA origami.
Lennart J. K. Weiß +13 more
wiley +1 more source
Asymmetric lamellar templating at the perovskite/C60 interface is achieved using a laterally polarized indole spacer. Surface anchoring and Ind–Ind assembly form a π‐rich lamellar interphase that supports uniform C60 contact formation, suppresses recombination, preserves electron extraction, and enables certified high‐efficiency cells and modules with ...
Taeyoon Ki +16 more
wiley +1 more source
Using Differential Evolution to avoid local minima in Variational Quantum Algorithms. [PDF]
Faílde D +3 more
europepmc +1 more source
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu +6 more
wiley +1 more source
Reversible light‐induced gradients at solid–liquid interfaces enable controllable interfacial transport via light‐driven diffusioosmosis. We demonstrate directed particle manipulation based on dynamically generated concentration gradients. The mechanism is broadly applicable to cationic, anionic, and non‐ionic surfactants with varying hydrophobicity ...
Maren Umlandt +3 more
wiley +1 more source
Noise-induced barren plateaus in variational quantum algorithms. [PDF]
Wang S +6 more
europepmc +1 more source

