Results 131 to 140 of about 1,474 (246)

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang   +11 more
wiley   +1 more source

Magnetic QCA Majority Voter Feasibility Analysis [PDF]

open access: yes, 2011
M. Zamboni   +14 more
core   +1 more source

Theoretical studies of inter-dot potential barrier modulation in quantum-dot cellular automata

open access: yes, 2001
Quantum-Dot Cellular Automata (QCA) is being investigated as a possible alternative for encoding and processing binary information in an attempt to realize dramatic improvements in device density and processing speed over conventional CMOS design.
Mandell, Eric S.
core  

Nanofiber PVA‐Based Membranes Incorporating Functionalized Spanish Broom Derivatives for Sustainable Water Purification

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando   +7 more
wiley   +1 more source

Exploring the potential as molecular quantum-dot cellular automata of a mixed-valence Ru2 complex deposited on Au(111) surface

open access: yes
A key requirement for the implementation of molecular quantum dot cellular automata (mQCA) is the ordered attachment of molecules on surfaces. In this work we explore by means of stateof- the art quantum chemistry calculations different aspects of the ...
Palomino, Carlos M.   +2 more
core   +1 more source

Cyclodextrins as Chiral Selectors in Capillary Electrophoresis—Recent Developments in Understanding Analyte Complexation and Applications in Pharmaceutical Analysis

open access: yesELECTROPHORESIS, EarlyView.
Cyclodextrins are the most often applied chiral selectors in CE enantioseparations. In combination with NMR spectroscopy and molecular modeling, studies for an understanding of chiral recognition underlying enantioseparations have been performed.
Gerhard K. E. Scriba
wiley   +1 more source

Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment

open access: yesExploration, EarlyView.
This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng   +11 more
wiley   +1 more source

Theory of Supercritical Coupling and Generalized Bound States in the Continuum

open access: yesLaser &Photonics Reviews, EarlyView.
We develop a general theory of supercritical coupling and generalized bound states in the continuum (gBICs), revealing how interference between radiative and absorptive channels enables quality factors beyond conventional material‐loss limits. The framework unifies non‐Hermitian mode coupling, causality‐driven reactive interactions, and interference ...
Sergio Balestrieri   +3 more
wiley   +1 more source

Chain‐End Grafting of RAFT Polyelectrolyte Macroligands to Stabilize Near‐Infrared‐Emitting Gold Nanoclusters

open access: yesMacromolecular Rapid Communications, EarlyView.
Surface‐functionalized gold nanoclusters (AuNCs) are synthesized in situ by chain‐end grafting of RAFT polyelectrolytes at room temperature directly in water. It leads to highly stable polymer‐AuNCs nanohybrids emitting near‐infrared photoluminescence with µs lifetimes. ABSTRACT With their photoluminescence properties, gold nanoclusters (AuNCs, d<2 nm)
Bárbara Casteleiro   +7 more
wiley   +1 more source

A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science

open access: yesMaterials Genome Engineering Advances, EarlyView.
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao   +6 more
wiley   +1 more source

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