Results 191 to 200 of about 2,108,541 (311)

Assessing knowledge and perception of artificial intelligence in solid organ transplantation. [PDF]

open access: yesFront Digit Health
Liaigre L   +5 more
europepmc   +1 more source

Dicationic Ion‐Pair Doping Enables Stable and High‐Performing Conducting Polymers for Organic Thermoelectrics

open access: yesAdvanced Science, EarlyView.
TAB–2TFSI enables efficient ion‐pair doping across a wide range of conjugated polymers, where the strongly oxidizing TAB core drives charge transfer, and the TFSI counterions promote favorable ionic compensation. This dicationic dopant promotes uniform dopant distribution, improves structural order, and increases carrier delocalization, establishing a ...
Juhyung Park   +14 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

open access: yesAdvanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu   +2 more
wiley   +1 more source

Synergistic Grain Boundary and Phonon Engineering Enables Ultrahigh Thermoelectric Performance in Mg3(Sb, Bi)2‐Based Materials

open access: yesAdvanced Science, EarlyView.
Ta encapsulated melting and Cu doping synergistically engineer grain boundaries and phonon scattering in Mg3(Sb,Bi)2, enabling single‐crystal‐like carrier transport and high thermoelectric performance. ABSTRACT Thermoelectric Mg3(Sb, Bi)2 has emerged as a rising star in virtue of its promising thermoelectric performance and abundant constituent ...
Jingdan Lei   +10 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

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