Results 131 to 140 of about 2,460,218 (300)

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

Advanced 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, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

Advanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti, Sergio Martínez‐Saiz, Morena Cervino, Edoardo Stanzani, Sandra Jenatsch, Qingsen Zeng, Joo Sung Kim, Dong‐Hyeok Kim, Eojin Yoon, Tae‐Woo Lee, Daniel Tordera, Henk J. Bolink   +11 more
wiley   +1 more source

Thermally Codeposited Bimetallic Copper–Cobalt Oxide Electrode for Electrocatalytic Nitrate Reduction to Ammonia

Advanced Energy & Sustainability Research
The electrocatalytic reduction of nitrate (NO3RR) to ammonia presents a promising avenue for both wastewater treatment and nitrogen cycle restoration while simultaneously producing valuable renewable energy carriers.
Francis O. Okoye, Maya Glasgow, Alamgir M. Haque, Pravin Babar, Christian E. Alvarez‐Pugliese, Gerardine G. Botte   +5 more
doaj   +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

Abschlussbericht Circular Economy in Schülerlaboren: "Circular Economy - #einfachmachen

Das Projekt „Circular Economy – #einfachmachen“ zielte darauf, das TüftelLab Berlin als Modell für einen Edu-Makerspace weiterzuentwickeln, in dem Kinder und Jugendliche praxisnah erfahren, wie die Prinzipien der Circular Economy umgesetzt werden. Das TüftelLab ist der hybride Lernort der Junge Tüftler gGmbH, in dem sie mit digitalen Tools Zukünfte ...
Servais, Caroline, Goldmann, Arne, Junge Tüftler gGmbH   +2 more
openaire   +1 more source

Circular Economy solutions for agro-industrial residues in Central Europe: identification of relevant value chains and assessment of economic, social and environmental impacts parameters using digital tools

reservedThe importance of biorefineries plays a pivotal role when it comes to bio-economy and circular economy. The possibility to recover value from residues and by-products from agri-food companies represents a primary resource for the production of ...
FOLIN, ENRICO
core  

Digitalization in Circular Economy: Role of Digital Product Passport [PDF]

reservedThe "take-make-dispose" paradigm of the linear economy places great strain on the environment, calling for a change to more environmentally friendly behaviors.
SADYRBAYEVA, ZARINA
core  

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

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Online monitoring method for operation status of the thermal power generating units based on fusion of limit learning machine and SCADA data

Frontiers in Mechanical Engineering
To quickly learn the complex operational patterns of thermal power generating units, this paper proposes an online monitoring method based on extreme learning machine (ELM) and SCADA data.
Yongjun Fu, Xuyang Zhao, Zhiqiang Yang, Yujiang Zhang, Yaping Qv, Baohua He, Yuewu Yang   +6 more
doaj   +1 more source