Results 221 to 230 of about 4,872,287 (279)
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
Mental health monitoring in the workplace using artificial intelligence: A scoping review. [PDF]
Jack K +7 more
europepmc +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Gradient-Based Efficient Optimization Method for Surface Sensor Arrays in Microseismic Source Mechanism Inversion. [PDF]
Kong Y, Yuan Y.
europepmc +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
Novel Image Encryption Scheme Based on Fireworks Algorithm and Reversible Convolution. [PDF]
Liang Y +5 more
europepmc +1 more source
A novel engineering strategy that establishes material design principles for incorporating anti‐inflammatory steroids into lipid nanoparticles to reduce LNP‐induced inflammation while retaining mRNA delivery. Results are validated in vitro and in three animal models of inflammation and autoimmunity in vivo.
Ajay S. Thatte +21 more
wiley +1 more source
Prey-Impatience-Driven Sand Cat Swarm Optimization with Perturbation Learning for Global Optimization and Engineering Applications. [PDF]
Wang J +6 more
europepmc +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Dopamine depletion in Parkinson's increases directed but not random exploration. [PDF]
Meder B, Sterf M, Wu CM, Guggenmos M.
europepmc +1 more source

