Results 81 to 90 of about 340 (253)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
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

Room‐Temperature Skyrmionic Synapse in 2D Ferromagnet Fe3GaTe2 Operating via Collective Spin Texture Transformation

open access: yesAdvanced Materials, EarlyView.
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang   +20 more
wiley   +1 more source

A Hybrid Deep Learning Model Proposal for Occupancy–Vacancy Estimations of Parcel Lockers

open access: yesIEEE Access
Last-mile delivery is one of the most critical processes in modern supply chains. Parcel lockers present a promising solution for reducing the logistical costs and emissions.
Kutay Akdogan   +2 more
doaj   +1 more source

Chiral Microneedle Arrays With Terahertz Chiroptical Activity With Chiral‐Plasmon‐Chiral‐Phonon Resonance

open access: yesAdvanced Materials, EarlyView.
ABSTRACT Microneedle arrays (MNAs) is a rapidly emerging technology with broad biomedical applications in drug delivery and biosensing. With sub‐millimeter dimensions and periodicity, MNAs possess geometries nearly ideal for biomedical devices operating within the terahertz (THz) spectral window.
Sang Hyun Lee   +6 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

open access: yesAdvanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son   +20 more
wiley   +1 more source

Two-Echelon Vehicle Routing Problem with Time Windows and Intermediate Facilities for E-Commerce Logistics in Crowdsourcing Model

open access: yesSystems
This paper investigates a novel variant of the two-echelon vehicle routing problem (2E-VRP) within the context of modern e-commerce logistics. The model integrates time windows, occasional trucks, occasional drivers, heterogeneous regular vehicles, and ...
Fuqiang Lu, Zhiyuan Gao, Hualing Bi
doaj   +1 more source

Bubble Formation Control: Fabrication of Centimeter‐Sized Tissue‐Like Constructs by Catalase‐Coated Oxygen‐Releasing Hydrogel

open access: yesAdvanced Materials, EarlyView.
Oxygen‐releasing hydrogels are widely used to support cell survival in 3D cultures and to promote wound healing. However, incorporating catalase to convert H2O2 into O2 often generates additional oxygen bubbles, leading to material instability which rarely addressed.
Sukulya Bunuasunthon   +3 more
wiley   +1 more source

Decision Models for On-Premises Parcel Lockers Service Revenue Management

open access: yesInternational Journal of Production Economics
On-premises parcel lockers (OPLs) have recently garnered attention as a convenient, safe, and secure parcel delivery solution in urban areas. Companies like Amazon Hub, GroundFloor, and My Parcel Locker have adopted basic Service Revenue Models (SRMs), providing OPLs in buildings under different contract arrangements, such as subscription models and ...
Mohri, Seyed   +4 more
openaire   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
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

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