Results 71 to 80 of about 322 (162)
A MXene‐enhanced electrochemical sensor enables the rapid and direct detection of methamphetamine. Molecular simulations reveal that specific MXene surface functional groups act as key signal amplifiers by facilitating interfacial interactions. The sensor demonstrates high sensitivity and robust performance in complex biological matrices.
Ri Wang +7 more
wiley +1 more source
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources
A Reconfigurable System Approach to the Direct Kinematics of a 5 D.o.f Robotic Manipulator
Hardware acceleration in high performance computer systems has a particular interest for many engineering and scientific applications in which a large number of arithmetic operations and transcendental functions must be computed. In this paper a hardware
Diego F. Sánchez +3 more
doaj +1 more source
Schottky barrier engineering using van der Waals contacts enables effective modulation of persistent photoconductivity (PPC) in optoelectronic devices. A high persistent photoconductivity gain (PPCG) (307.6%) is achieved in a high‐barrier Au/MoS2 junction, supporting photomemory and optoelectronic synaptic behaviors. A low PPCG (4.72%) is achieved in a
Panpan Huo +8 more
wiley +1 more source
Selective CO formation in bicarbonate electrolysis is achieved by retaining reactive CO2 and tuning pH, while the competing hydrogen evolution reaction occurs at the interface. The rate‐determining step couples the chemical equilibrium of bicarbonate/CO2 with electrochemical charge transfer, offering insight into optimizing reaction conditions for ...
Lin Li +7 more
wiley +1 more source
Data-driven models used for predictive classification and regression tasks are commonly computed using floating-point arithmetic and powerful computers.
Stefan Bosse
doaj +1 more source
TOWARDS A MATHEMATICAL LIBRARY FOR UNUMs, AN ALTERNATIVE TO IEEE 754 FLOATING POINT NUMBERS
The 1985 IEEE 754 standard for the representation of and the arithmetic with floating point numbers has been reconsidered. On the one hand today, its technological assumptions are by no means longer valid.
Thomas Risse
doaj +1 more source
Implementing Taylor models arithmetic with floating‐point arithmetic [PDF]
AbstractThe implementation of Taylor models arithmetic may use floating‐point arithmetic to benefit from the speed of the floatingpoint implementation. The issue is then to take into account the roundoff errors. Here, we assume that the floating‐point arithmetic is compliant with the IEEE‐754 standard.
openaire +1 more source
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó +3 more
wiley +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source

