Results 191 to 200 of about 839,459 (306)

A stacked Gradient Boosting-XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids. [PDF]

Sci Rep
Rohini G, Mariprasth T, Bustanji SA, Zaitsev I.   +3 more
europepmc   +1 more source

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

Advanced 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

Boosting regeneration [PDF]

Nature Reviews Neuroscience, 2018
openaire   +2 more sources

Performance of Statistical and Machine Learning Risk Prediction Models for Advanced Breast Cancer. [PDF]

Cancer Epidemiol Biomarkers Prev
Chen S, Kerlikowske K, Su YR, Hubbard RA, Gard CC, Tice JA, Sprague BL, Ahern TP, Miglioretti DL.   +8 more
europepmc   +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

Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models. [PDF]

Sci Rep
Abd-Rabbou MY, Zahia AA, Abdallah AM, Gouda AA, Qiao CF.   +4 more
europepmc   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

Advanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis, Filip Aniés, Yiyang Yu, Mohammed Ghadiyali, Hendrik Faber, Zhanibek Bizak, Youssef Kabri, Pavlos Tzourmpakis, Suman Mandal, Linqu Luo, Temur Maksudov, Mohamad Insan Nugraha, Harold F. Mazo‐Mantilla, Patrice Vanelle, Julie Broggi, Khaled N. Salama, Udo Schwingenschlögl, Martin Heeney, Atif Shamim, Thomas D. Anthopoulos   +19 more
wiley   +1 more source

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning. [PDF]

PLoS One
Yang J, Wang S, Chen X, Liu L, Li Y.
europepmc   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Predicting and explaining poor prognosis in diabetic kidney disease using SHAP-based interpretable machine learning. [PDF]

iScience
Qian M, Li L, Cheng Y, Hou Y, Fu S, Xu Z.   +5 more
europepmc   +1 more source