Results 111 to 120 of about 188,624 (267)

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

Progress in Strain Engineering of 2D‐Integrated Heterostructures for Ultrasensitive Sensors

open access: yesAdvanced Science, EarlyView.
 . ABSTRACT Two‐dimensional (2D) integrated heterostructures have emerged as a cornerstone in the advancement of next‐generation sensor technologies. These heterostructures, which combine materials with different dimensionalities, have led to significant breakthroughs in sensing performance and device integration.
That Buu Ton   +4 more
wiley   +1 more source

Epitaxial Bi2O2Se/Bi2O5Se Thin Films: Revealing Electric‐Field‐Driven Oxidation and Resistive Switching Dynamics for Advanced Memory Devices

open access: yesAdvanced Science, EarlyView.
Bi2O2Se/Bi2O5Se bilayer heterostructure exhibits reversible structural evolution during device operation, directly revealed by atomic‐scale investigation. Oxygen vacancy redistribution governs filament formation and rupture, enabling stable multilevel resistive switching and synaptic‐like behaviors.
Yen‐Jung Chen   +8 more
wiley   +1 more source

Rational Design of Weakly‐Solvating Molecules for Salt‐In‐Pre‐Ionic‐Liquid Electrolytes for Li Metal Batteries

open access: yesAdvanced Science, EarlyView.
The weakly‐solvating TFMSPyr electrolyte tailors the Li+ solvation structure by suppressing solvent coordination and promoting anion‐dominated solvation. This unique solvation environment induces preferential anion decomposition at electrode interfaces, forming robust inorganic rich S/CEI.
Bishnu P. Thapaliya   +11 more
wiley   +1 more source

Developing Micro/Nanostructured Fluidic Mixing Technology for Biomedical Applications

open access: yesAdvanced Science, EarlyView.
This review critically evaluates how micro/nanostructured mixing technologies are redefining biomedical research. By synergizing fundamental analysis, numerical modeling, structural design, and external field manipulation, these systems attain unprecedented control over mass transport.
Junkai Wang   +3 more
wiley   +1 more source

Quantum Meets AI: Pioneering the Future of Intelligent Technology of Multiple-Valued Logic

open access: yesIEEE Access
The convergence of quantum computing (QC) and artificial intelligence (AI) represents one of the most cutting-edge developments in the modern technological landscape.
Hafiz Md. Hasan Babu
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

Quantum Gates to Implement the Reversible Logic Circuits

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2017
  Quantum gates which are represented by unitary matrices have potentials to implement the reversible logic circuits. M and M+ gates are two well-known quantum gates which are used to synthesize the reversible logic circuits.
Ali H. Khidhir
doaj  

Twisted MoS2 Bilayers as Functional Elements in Memtransistors: Hysteresis, Optical Signatures, and Photocurrent Kinetics

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash   +4 more
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

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