Results 131 to 140 of about 199,658 (311)

Highly Efficient Discovery of 3D Mechanical Metamaterials via Monte Carlo Tree Search

Advanced Science, EarlyView.
Machine learning (ML), as a data‐driven method, has revolutionized metamaterial design, surpassing traditional intuition‐driven trial‐and‐error methods in both efficiency and performance. Here, MCTS‐AL, an active learning framework integrating finite element simulation (FEM), convolutional neural networks (CNNs), and Monte Carlo Tree Search (MCTS ...
Jiamu Liu, Bo Peng, Weiyun Xu, Ye Wei, Peng Wen   +4 more
wiley   +1 more source

Tunable Photoluminescent and Photothermal Properties of Organic Cocrystals Containing Hydrogen‐Bonded Interlocked Planar Molecules

Advanced Science, EarlyView.
Engineering intramolecular hydrogen‐bonded planar architectures provides a versatile strategy for modulating the photoluminescent and photothermal behaviors of organic cocrystals. This work not only overcomes the limitations of selecting conjugated (hetero)aromatic compounds to meet the requirements of planarity and rigidity for cocrystal precursors ...
Xinmeng Chen, Ling Zhu, Shan He, Bin Liu, Qiang Lv, Xuedong Wang, Lin Xu, Yu Wang, Ryan T. K. Kwok, Jacky W. Y. Lam, Lianrui Hu, Wenping Hu, Ben Zhong Tang   +12 more
wiley   +1 more source

Soft and Stretchable Thienopyrroledione‐Based Polymers via Direct Arylation

Advanced Electronic Materials, EarlyView.
π‐conjugated polymers (CPs) that are concurrently soft and stretchable are needed for deformable electronics. This systematic molecular weight study on promising candidates for soft CPs, poly(indacenodithiophene‐co‐thienopyrroledione) (p(IDTC16‐TPDC8)) and poly(indacenodithienothiophene‐co‐thienopyrroledione) (p(IDTTC16‐TPDC8)) found that p(IDTC16 ...
Angela Lin, Lorenzo Guio, Garrett LeCroy, Stanley Lo, Adnan Sharif, Yunfei Wang, Alberto Salleo, Xiaodan Gu, Christine K. Luscombe, Helen Tran   +9 more
wiley   +1 more source

PMC19 EVALUATING AN ONLINE INCREMENTAL COST-EFFECTIVENESS CALCULATOR STRUCTURED AS A DECISION ANALYTIC TREE THAT IMPLEMENTS MONTE CARLO SIMULATIONS OF KEY VARIABLES

, 2009
WF McGhan, VJ Willey, AM Peterson, AA Manke, Patel Dd, MR Ajmera, Patel Tb   +6 more
openalex   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

Electronic Nanomaterials for Plants: A Review on Current Advances and Future Prospects

Advanced Electronic Materials, EarlyView.
Global food security faces mounting challenges from climate change and rapid population growth. This review highlights the pivotal role of electronic nanomaterials–including metals, metal oxides, and carbon‐based structures–in enhancing plant photosynthesis, nutrient uptake, and stress resilience. Furthermore, it explores how emerging platforms such as
Ciro Allará, Giuseppe Ciccone, Manuela Ciocca, Sahira Vasquez, Pietro Ibba, Mauro Maver, Tanja Mimmo, Paolo Lugli, Luisa Petti   +8 more
wiley   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things [PDF]

Ruidong Chen, Tianci Dai, Yanfeng Zhang, Yukun Zhu, Xin Liu, Erfan Zhao   +5 more
openalex   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

Advanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio, Isaac Segovia Ramírez, Fausto Pedro García Márquez   +2 more
wiley   +1 more source

Use of Decision Trees and Attributional Rules in Incremental Learning of an Intrusion Detection Model

, 2014
Abdurrahman A. Nasr, Mohamed Ezz, Mohamed Z. Abdulmageed   +2 more
openalex   +1 more source