Results 81 to 90 of about 31,813 (297)

Electronegativity determination of individual surface atoms by atomic force microscopy

open access: yesNature Communications, 2017
Electronegativity is a fundamental concept in chemistry; however it is an elusive quantity to evaluate experimentally. Here, the authors estimate the Pauling electronegativity of individual atoms on a surface via atomic force microscopy using a variety ...
Jo Onoda   +3 more
doaj   +1 more source

Learning Multidimensional Electronegativity of Selected Atom Types in Organic Molecules Using Graph Neural Networks. [PDF]

open access: yesACS Omega
Electronegativity can be considered a data-driven concept that has been widely used since Pauling proposed this property. However, updating the electronegativity based on the vast amount of high-quality experimental and computational data has been ...
Han DB, Na GS, Kim HW.
europepmc   +2 more sources

Nitrospinics: Nitride Materials for Spin‐Orbit and Orbital Torques From Memory to Artificial Intelligence

open access: yesAdvanced Functional Materials, EarlyView.
Further advances in applications can be anticipated through the development of unique and functional materials beyond conventional alloys. Nitrogen enables tailor‐made orbital textures in various transition‐metal hosts, paving the way for devices ranging from spintronics memory to artificial intelligence hardware.
Prabhat Kumar   +3 more
wiley   +1 more source

Dysfunctional high-density lipoprotein: an updated review

open access: yesFrontiers in Cardiovascular Medicine
High-density lipoprotein (HDL) has earned its reputation as “good” cholesterol in cardiovascular health, primarily because of its strong inverse association with cardiovascular disease. A potential mechanism for this association is its ability to promote
Frances W. Ouyang   +7 more
doaj   +1 more source

Balancing the anionic framework polarity for enhanced thermoelectric performance in YbMg2Sb2 Zintl compounds

open access: yesJournal of Materiomics, 2019
1-2-2-type Zintl phase compound has aroused great interest for potential thermoelectric applications. However, YbMg2Sb2 is seldom studied due to the very low electrical conductivity resulting from the large difference in the electronegativity between Mg ...
Zongwei Zhang   +16 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Correction to Cardinal Electronegativity Values Correlate with Physicochemical Properties

open access: yes, 2021
Correction to “Cardinal Electronegativity Values Correlate with Physicochemical ...
Gordon D. Sproul   +1 more
core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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