Results 81 to 90 of about 4,057 (257)

Application of Artificial neural network technique for prediction of pavement roughness as a performance indicator

Journal of King Saud University: Engineering Sciences
One of the most important and widely accepted pavement performance and ride quality indicators is the International Roughness Index (IRI). This study investigates the combined effect of pavement distress on flexible pavement performance in two climate ...
Abdualmtalab Abdualaziz Ali, Usama Heneash, Amgad Hussein, Shahbaz Khan   +3 more
doaj   +1 more source

Lattice‐Matched 2D Template Enables Efficient Cesium Tin Halide Perovskite Solar Cells

Advanced Materials, EarlyView.
Lattice‐matched 2D perovskite PEA2CsSn2I7 templates the out‐of‐plane growth of inorganic 3D γ‐CsSnI3 along the (110) plane, forming highly oriented 2D/3D tin halide perovskite heterostructures. With reduced trap states and mitigated δ‐phase impurities, the CsSnI3‐based solar cells achieve a power conversion efficiency of 15.27% and maintain stable ...
Hongzhe Anna Xu, Dongxu He, Wencai Zhou, Julian A. Steele, Zhiliang Wang, Zitong Wang, Chengxi Zhang, Shanshan Ding, Bowei Zhang, Huiyuan Cheng, Mengmeng Hao, Jiangyu Hang, Can Zheng, Zilong Zheng, Peng Chen, Lianzhou Wang   +15 more
wiley   +1 more source

Deterioration Modeling of Pavement Performance in Cold Regions Using Probabilistic Machine Learning Method

Infrastructures
Accurate and reliable modeling of pavement deterioration is critical for effective infrastructure management. This study proposes a probabilistic machine learning framework using Bayesian-optimized Natural Gradient Boosting (BO-NGBoost) to predict the ...
Zhen Liu, Xingyu Gu, Wenxiu Wu
doaj   +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

Stable Protein‐Based G‐Quadruplex‐Derived Supramolecular Bioinks as Tunable ECM‐Mimetic Constructs Assembled by Combining Non‐Covalent and Covalent Strategies

Advanced Materials, EarlyView.
Harnessing the synergistic interplay of supramolecular self‐assembly, under macromolecular crowding conditions, and enzymatic‐mediated covalent crosslinking toward a stable protein‐based G‐quadruplex‐derived supramolecular bioink. This bioinspired strategy enables the biofabrication of complex and tunable ECM‐mimetic constructs, providing a platform ...
Vera Sousa, Rita Sobreiro‐Almeida, Bart W. L. van den Bersselaar, E. W. Meijer, Ghislaine Vantomme, João Borges, João F. Mano   +6 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Integrating Tensometer Measurements, Elastic Half-Space Modeling, and Long-Term Pavement Performance Data into a Mechanistic–Empirical Pavement Performance Model

Applied Sciences
Pavement performance models (PPMs) are utilized to predict pavement network conditions which is an essential part of any sustainable pavement management system (PMS).
Matúš Kozel, Ľuboš Remek, Katarína Ilovská, Grzegorz Mazurek, Przemysław Buczyński   +4 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

Pulsed Laser‐Assisted Phase Engineering of Multimetallic Colloidal Nanocrystals With Complex Compositions

Advanced Materials, EarlyView.
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela, Sergio Triviño‐Sánchez, Andrés Guerrero‐Martínez, Luis M. Liz‐Marzán, Guillermo González‐Rubio   +4 more
wiley   +1 more source

A Machine Learning based approach to predict road rutting considering uncertainty

Case Studies in Construction Materials
Roads as vital public assets are the backbone for transportation systems and support constant societal development. Recently, data-driven technologies such as digital twins and especially machine learning have shown great potential to maintain the ...
K. Chen, M. Eskandari Torbaghan, N. Thom, A. Garcia-Hernández, A. Faramarzi, D. Chapman   +5 more
doaj   +1 more source