Results 161 to 170 of about 156,774 (303)

Well‐Designed Organic Semiconductors With Tunable Resistive Switching Behaviors for Multilevel Storage and Neuromorphic Computing

open access: yesAggregate, EarlyView.
A novel strategy is proposed to design and synthesize furan‐annulated naphthalenes for high‐performance memristive behaviors by introducing an electron acceptor (trifluoromethyl) or donor (methoxy). The former, with donor–acceptor pairs, demonstrates high‐performance bipolar digital memristive behaviors with multilevel storage characteristics.
Dehui Wang   +8 more
wiley   +1 more source

Hybrid rule‐based and optimization‐driven framework for the synthesis of end‐to‐end optimal pharmaceutical processes

open access: yesAIChE Journal, EarlyView.
Abstract The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batch, continuous, or hybrid (containing both ...
Yash Barhate   +4 more
wiley   +1 more source

Nonlinear multimode photonics on-chip. [PDF]

open access: yesNanophotonics
Vitali V   +10 more
europepmc   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Simplified Kripke-Style Semantics for Some Normal Modal Logics [PDF]

open access: hybrid, 2019
Andrzej Pietruszczak   +2 more
openalex   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

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