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
Thermoelastic wave propagation in fibre-reinforced plates with exponential temperature-dependent conductivity under fluid-structure interaction. [PDF]
Almoneef A +4 more
europepmc +1 more source
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae +13 more
wiley +1 more source
Data-driven, ML-assisted approaches to problem well-posedness. [PDF]
Bertalan T +5 more
europepmc +1 more source
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
Peristaltic transport and thermodynamic analysis of hybrid nanofluids in porous media using physics-informed neural networks. [PDF]
Vaseem M, Uddin Z, Upreti H.
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
Graphene oxide nanoparticles oscillation in drilling fluid for heat transfer with entropy generation over radiative cylinder in fluctuating and laminar regimes. [PDF]
Khedher NB +8 more
europepmc +1 more source
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
OHAM analysis of quadratic radiative heat flux and chemical reactions in hybrid nanofluid flow over variable thickness stretching surface. [PDF]
Ramzan M +5 more
europepmc +1 more source

