Results 151 to 160 of about 11,576,305 (269)
Machine learning prediction of photoionization cross section in GaAs AlGaAs quantum dot ring nanostructures. [PDF]
Jaouane M +5 more
europepmc +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Charge-state-controlled spin polarization and quantum transport in vanadium-decorated 7-armchair graphene nanoribbons. [PDF]
Duong TN +8 more
europepmc +1 more source
A Nb‐proximitized Josephson junction based on a WTe2/α‐Fe2O3 heterostructure exhibits a robust superconducting diode effect with programmable polarity. The diode direction can be trained by magnetic fields and switched by temperature cycling, revealing tunable finite‐momentum pairing states and competing superconducting states in symmetry‐broken ...
Enze Zhang +9 more
wiley +1 more source
A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era. [PDF]
Li Z +10 more
europepmc +1 more source
Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti +11 more
wiley +1 more source
Theoretical Perspectives of Precision Chemistry. [PDF]
Ma H, Liu J, Li Z, Yang J.
europepmc +1 more source
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani +10 more
wiley +1 more source
Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing. [PDF]
Sayed BT +9 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source

