Results 91 to 100 of about 5,576 (252)

Suppressing Morphological and Energetic Disorder in Copper Antimony Sulfide‐based Hole‐Transporting Materials via Ligand–Precursor Engineering for Efficient and Stable Perovskite Solar Cells

open access: yesAdvanced Science, EarlyView.
Sulfur‐precursor and ligand engineering regulate the nucleation, morphology, and energetic disorder of CuSbS2 nanocrystals for dopant‐free inorganic hole‐transport layers in perovskite solar cells. Thiourea‐assisted synthesis combined with optimized OAm/OAc coordination suppresses excessive anisotropic growth, enabling mixed plate‐like/quasi‐spherical ...
Ibrahimhan Dilci, Savas Sonmezoglu
wiley   +1 more source

Carbon-based transition metal chalcogenides for wearable sensors, energy storage, and photodetector applications

open access: yesAdvances in Physics: X
Transition metal chalcogenides (TMCs) have attracted a lot of scientific research interests due to their extraordinary properties. Several studies indicate that TMCs are suitable candidates for electrocatalytic processes, energy storage, and ...
Chinedu Christian Ahia   +9 more
doaj   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Rare‐Earth Substitution Induced Symmetry Breaking for The First Sc‐Based Nonlinear Optical Chalcogenide with High‐Performance

open access: yesAdvanced Science
Chalcogenides are the most important infrared nonlinear optical (NLO) material candidates, and the exploration of high‐performance ones is attractive and challengeable. Hitherto, there is no NLO scandium (Sc) chalcogenides experimentally studied.
Chen‐Yi Zhao   +6 more
doaj   +1 more source

Towards high-performance dye-sensitized solar cells by utilizing reduced graphene oxide-based composites as potential alternatives to conventional electrodes: A review

open access: yesNext Materials
Dye-sensitized solar cells (DSSCs) have recently emerged as one of the most promising new-generation photovoltaic devices due to their facile fabrication protocols, capacity to operate under diffuse light, and low-impact on the environment.
Edigar Muchuweni   +5 more
doaj   +1 more source

Recent Advances in Programmable Metasurfaces and Meta‐Devices

open access: yesAdvanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao   +4 more
wiley   +1 more source

Determining the Relationship Between Composition, Structure, and Device Properties of GexSe1‐x‐Based Selector‐Only Memory

open access: yesAdvanced Electronic Materials, EarlyView.
Composition‐dependent structural evolution in GeXSe1‐X selector‐only memory (SOM) is correlated with device switching behavior. Increasing Ge strengthens network rigidity, suppresses atomic motion, and stabilizes threshold switching, while narrowing the memory window. The revealed structure–property relationship provides a guideline for compositionally
Tien Anh Nguyen   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy