Results 61 to 70 of about 505 (232)
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.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
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Angewandte Chemie, EarlyView.A vapor‐phase molecular toughening strategy is developed for pilot‐scale roll‐to‐roll (R2R) ‐compatible fabrication of flexible perovskite solar modules. Thiol vapor selectively regulates crystallization and anchors at grain boundaries, reducing defects while enhancing mechanical resilience.
Lirong Dong +18 more
wiley +2 more sources
Quantum current in dissipative systems
New Journal of Physics, 2019 Describing current in open quantum systems can be problematic due to the subtle interplay of quantum coherence and environmental noise. Probing the noise-induced current can be detrimental to the tunneling-induced current and vice versa.
Karen V Hovhannisyan, Alberto Imparato
doaj +1 more source
Entropic dynamics: a hybrid-contextual model of quantum mechanics [PDF]
Quantum Studies: Mathematics and Foundations, 2017 The Bell-KS theorem and the more recent $ψ$-epistemic \emph{no-go} theorems of QM are discussed in the context of Entropic Dynamics. In doing so we find that the Bell-KS theorem allows for, a perhaps overlooked, hybrid-contextual model of QM in which one set of commuting observables (position in this case) is non-contextual and all other observables ...
openaire +2 more sources
Quantum Model Theory (QMod): Modeling Contextual Emergent Entangled Interfering Entities [PDF]
, 2012 1 ...
Diederik Aerts, Sandro Sozzo
openaire +3 more sources
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
Advanced Intelligent Discovery, EarlyView.The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Angewandte Chemie, EarlyView.Constructing atomically coupled W–O–Ru interfacial units on RuO2 triggers a dynamic strain evolution during the oxygen evolution reaction. An initial tensile strain secures structural stability, while a self‐adjusting transition to interfacial compression optimizes catalytic activity.
Yi Guan +7 more
wiley +2 more sources
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
A refined Frauchiger–Renner paradox based on strong contextuality [PDF]
QuantumThe Frauchiger–Renner paradox derives an inconsistency when quantum theory is used to describe the use of itself, by means of a scenario where agents model other agents quantumly and reason about each other's knowledge.
Laurens Walleghem +3 more
doaj +1 more source