Results 171 to 180 of about 461,814 (281)
Computational tool choice impacts CRISPR spacer-protospacer detection. [PDF]
Neri U +4 more
europepmc +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
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Inter-subject receive-template substitution for quantitative brain water content mapping at 3 T: a leave-one-out evaluation. [PDF]
Abbas Z +4 more
europepmc +1 more source
Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim +5 more
wiley +1 more source
Aptamers without SELEX: <i>De novo</i> design from protein structure in hours. [PDF]
Dolgusheva VA +16 more
europepmc +1 more source
Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee +16 more
wiley +1 more source
Alternating oxidative–reductive pulses synchronize CO2‐derived *CO and NH3‐derived *NHx intermediates over dual Cu and Co single‐atom sites, enabling urea and ethyl urea formation with a total C─N Faradaic efficiency of 42 ± 4%. In situ spectroscopy and theoretical calculations elucidate complementary Cu and Co functions, while oxidative controls ...
Putri Ramadhany +8 more
wiley +1 more source
Model predictive control for velocity tracking in synchronous fly-around based on dual quaternion error dynamics. [PDF]
Lu L, Xia L, Chai H, Yang C, Wang R.
europepmc +1 more source

