Results 261 to 270 of about 637,299 (342)

Optimized prediction of diabetes complications using ensemble learning with Bayesian optimization: a cost-efficient laboratory-based approach. [PDF]

Front Endocrinol (Lausanne)
Yan D, Li X, Wang Y, Cai Z.
europepmc   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Research on early warning model of coal spontaneous combustion based on interpretability. [PDF]

Sci Rep
Zhao H, Zhou X, Han J, Liu Y, Liu Z, Wang S.   +5 more
europepmc   +1 more source

Ordering, Stacking Faults and Stress Corrosion Cracking in Austenitic Alloys

, 1964
D. L. Douglass, G. Thomas, W. R. Roser
openalex   +2 more sources

Versatile Green Transfer of Magnetoelectronics with Loss‐Free Performance and High Adhesion for Interactive Electronics

Advanced Functional Materials, EarlyView.
An environmentally friendly transfer printing method of nm‐thick giant magnetoresistive (GMR) sensors is demonstrated. This method, relying on water and biocompatible polyvinyl alcohol (PVA) polymer without the need of complex treatments, allows transferring thin films to a wide range of biological, organic, and inorganic substrates.
Olha Bezsmertna, Rui Xu, Eduardo Sergio Oliveros Mata, Stanislav Avdoshenko, Clemens Voigt, Sindy Mosch, Mykola Vinnichenko, Denys Makarov   +7 more
wiley   +1 more source

Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration. [PDF]

Sci Rep
Rajaperumal TA, Christopher Columbus C.
europepmc   +1 more source

Understanding and Addressing the Performance Asymmetry Issue in Semitransparent Laminated Organic Photovoltaic Devices

Advanced Functional Materials, EarlyView.
This work addresses the challenge of current–voltage asymmetry in scalable laminated semitransparent organic photovoltaics (OPVs) for indoor applications. Vertical stratification of materials is shown to create an energy barrier, leading to performance differences under different illumination directions.
Gulzada Beket, Anton Zubayer, Leonie Pap, Huagui Lai, Samiran Bairagi, Nakul Jain, Jochen Stahn, Fan Fu, Kenneth Järrendahl, Fredrik Eriksson, Xabier Rodríguez‐Martínez, Olle Inganäs, Uli Würfel, Thomas Österberg, Jonas Bergqvist, Feng Gao   +15 more
wiley   +1 more source

In search of a photoswitchable drug for serotonin receptors: a molecular dynamics simulation study. [PDF]

RSC Adv
Dhaliwal AS, Verma A, Mondal P.
europepmc   +1 more source

MnI‐Functionalized Covalent Organic Framework as Efficient Electrocatalyst for CO2 Reduction in a Catholyte‐Free Zero‐Gap Electrolyzer

Advanced Functional Materials, EarlyView.
This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies, Marcos Eduardo G. Carmo, Gonçalves J. Marrenjo, Stephan Reuther, Patrick Ganswindt, Antonio Otavio T. Patrocinio, Thomas Bein, Osmando F. Lopes, Jenny Schneider   +8 more
wiley   +1 more source

Dynamic Strength Prediction of Brittle Engineering Materials via Stacked Multi-Model Ensemble Learning and Interpretability-Driven Feature Analysis. [PDF]

Materials (Basel)
Cai X, Wang Y, Zhao Y, Chen L, Wang P, Wang Z, Li J.   +6 more
europepmc   +1 more source