Results 191 to 200 of about 15,350 (250)
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Large-field-of-view optical-resolution optoacoustic microscopy using a stationary silicon-photonics acoustic detector. [PDF]
Harary T +4 more
europepmc +1 more source
Green‐engineered BiNPs&PEI N‐GQDs enable dual‐emission p‐Si Schottky photodetectors with strong photoresponse, long‐term stability, and a simple scalable fabrication strategy, offering a promising route for sustainable optoelectronic and photosensing applications.
Zeynep Berktaş +6 more
wiley +1 more source
Redefining Crystalline Silicon: Unlocking New Horizons in Transparent and Flexible Photovoltaics
Crystalline silicon is presented as a platform for transparent and flexible photovoltaics. This review article outlines design principles for optical strategies to fabricate transparent silicon solar cells, mechanical strategies that mitigate silicon brittleness, and emerging concepts such as singlet‐fission spectral conversion and tandem architectures,
Kangmin Lee
wiley +1 more source
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang +16 more
wiley +1 more source
Broadband Tunable Infrared Light Emission from Metal-Oxide-Semiconductor Tunnel Junctions in Silicon Photonics. [PDF]
Doderer M +12 more
europepmc +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Self‐Assembled Telecom Color Centers in Silicon and Their Growth Environment
Influence of the growth pressure during the formation of self‐assembled color centers in silicon grown by molecular beam epitaxy at ultra‐low temperatures on the color center's photoluminescence spectral signature. The growth pressure crucially determines color center selectivity, as evidenced by G‐centers, W‐centers, and T‐centers, matrix purity, and ...
Jacqueline Marböck +9 more
wiley +1 more source

