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
Stability of Minkowski-type inequalities in certain warped product spaces. [PDF]
Sahjwani P.
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
Entropy generation and response surface analysis of tri-hybrid casson nanofluid with nonlinear radiation over a rotating disk. [PDF]
Pavuldass P, Reddy PBA.
europepmc +1 more source
Laser‐Assisted Phase Engineering of 2D MoS2 for Efficient Solution‐Processed Electronics
Here, local laser‐assisted phase transition from solution‐processed phase‐pure 1T′ to 2H MoS2 is shown to critically depend on the irradiation atmosphere. While processing in air leads to damaged insulating regions, inert conditions yield semiconducting 2H domains, enabling direct field‐effect transistor patterning with optimized lateral 1T′‐2H MoS2 ...
Anna Zhuravlova +10 more
wiley +1 more source
Fractional caputo modeling of delayed disease dynamics: sensitivity analysis and control strategies incorporating environmental influences. [PDF]
Pathak S, Kota VR.
europepmc +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Going with the flow to solve for symmetry-driven PDE dynamics with physics-informed neural networks. [PDF]
Kavousanakis ME +5 more
europepmc +1 more source
Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang +4 more
wiley +1 more source
Analysis of delay differential equations with dual caputo-type fractional derivatives using laplace transform methods. [PDF]
Boumaaza M +4 more
europepmc +1 more source

