Results 141 to 150 of about 2,904 (271)
We identify two decisive levers for SAM interfaces: molecular design (carboxylic acid‐based, phosphonic acid, other anchoring chemistries, and polymeric SAMs) and mixing routes (co‐assembly, in situ assembly, pre‐ and post‐treatment). Coordinated tuning of headgroups and assembly pathways optimises energy alignment and film formation, suppresses ...
Jiaxu Zhang, Bochun Kang, Feng Yan
wiley +1 more source
Analysis of Current Variation with Work Function Variation in L-Shaped Tunnel-Field Effect Transistor. [PDF]
Kim JH, Kim HW, Song YS, Kim S, Kim G.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Predictive Registry Optimization of Molecular Adsorbates on Solid Surfaces
Local C–H “spikes” from a π‐conjugated backbone lock into graphene “pockets”. A geometric registry score turns images obtained by scanning tunneling microscopy at the solid/liquid interface into atomic‐scale adsorption models, enabling assignment of surface atropisomers in large π‐conjugated molecules.
David A. Hofmeister +7 more
wiley +2 more sources
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Ultra‐Thin and Highly Insulating Aromatic Monolayers by N‐Heterocyclic Carbenes
By using N‐heterocyclic carbenes extremally insulating and at the same time as thin as 0.3 nm molecular films are formed. The charge transport calculations indicate absence of destructive quantum interference effect which was so far the only way to suppress conductivity in aromatic molecules.
Mateusz Wróbel +6 more
wiley +2 more sources
Hardware‐Based On‐Chip Learning Using a Ferroelectric AND‐Type Array With Random Synaptic Weights
This work demonstrates an energy‐efficient on‐chip learning system using an Metal‐Ferroelectric‐Insulator‐Semiconductor FeAND synaptic array. By employing a feedback alignment scheme with a separate backward array using fixed random weights, the system overcomes directional limitations of AND‐type arrays and achieves robust, low‐power learning suitable
Minsuk Song +8 more
wiley +1 more source
In this study, a comparison of the negative capacitance vertical tunnel field-effect transistor (NC-VTFET) and VTFET for biosensing applications was conducted. Dielectrically modulated TFET demonstrates better sensitivity than the traditional metal oxide
Shailendra Singh (2307088) +3 more
core +1 more source

