Results 221 to 230 of about 3,108,169 (306)

Clustomesogen Showing Sub‐Zero Liquid Crystal Properties: Supramolecular Assembly Between Cs2[Mo6Ii8(OCOC2F5)6] and Hexaethylenoxide Containing Mesogenic Dimers

Advanced Materials, EarlyView.
Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz, Jeanne Rebours, Zoulikha Zerrouqi, Noée Dumait, Maria Amela‐Cortes, Nikolai Scheuring, Sara Simonovska, Sebastian Marino, Max Ebert, Stéphane Cordier, Sabine Laschat, Yann Molard   +11 more
wiley   +1 more source

Ant Colony Optimization-Driven Ensemble Learning for Carbon Emission Modelling in Fly Ash-Slag Geopolymer Concrete. [PDF]

Materials (Basel)
Pandey IK, Kumar S, Prasad B, Kumar P, Ahmed M, Hussein AB.   +5 more
europepmc   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Spatial spillover effects of China's digital economy on urban energy carbon emission efficiency from a network perspective. [PDF]

Sci Rep
Xing M, Wu B, Li Y.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Comparative assessing prefabricated and conventional 3D morphology carbon emission intensity of economy chain hotel buildings in Hangzhou. [PDF]

Sci Rep
Liu D, Du P, Wu Q, Tran L, Lou Y, Shi W, Cai G, Gao W.   +7 more
europepmc   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Elucidating carbon emission responses to land-use transition using the Kaya-LMDI model: a case study of Hainan, China. [PDF]

Sci Rep
Zhao C, Li Y, Wu L, Du W.
europepmc   +1 more source

Phase‐Pure and Size‐Tunable Tin Halide Perovskite Quantum Dots

Advanced Materials, EarlyView.
A trioctylphosphine oxide modulated protocol allows for the synthesis and study of the optical properties of a broad library of tin halide perovskite quantum dots across multiple A‐ and X‐site compositions with precise size tuning while eliminating unwanted 2D phases.
Ole F. Dressler, Benjamin Aymoz, Sebastian Sabisch, Stefanie Frick, Sebastian Siol, Dmitry N. Dirin, Simon C. Boehme, Maksym V. Kovalenko   +7 more
wiley   +1 more source

Carbon emission reduction effects of computing power development: evidence from double machine learning. [PDF]

Sci Rep
Chen L, Yang S, Wang Y, Lu Y, Chang M, Xiao Y, Kong D.   +6 more
europepmc   +1 more source