Results 141 to 150 of about 569,966 (292)

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Nano Carbon‐mesh with Excellent Bonding Performance via Hydro‐cage De‐shielding Strategy

Advanced Science, EarlyView.
A hydro‐cage de‐shielding strategy transforms cellulose‐based films into a dragonfly‐wing‐like nano carbon‐mesh (NCM) adhesive through instantaneous carbonization‐polymerization. The resulting NCM‐plywood achieves exceptional wet shear strength (1.24 MPa at 63°C), exceeding Class II plywood standards, and retains 0.73 MPa after boiling‐water cycles ...
Weijia Yang, Jianyong Wan, Hongda Guo, Haizhu Wu, Yongli Yang, Wenhe Bi, Zhengyong Yang, Chenghua Wang, Bertrand Charrier, Hisham Essawy, Antonio Pizzi, Xinyi Chen, Zhijun Chen, Guanben Du, Xiaojian Zhou   +14 more
wiley   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +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

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Effects of Nitrogen Ion Implantation on Wettability and Surface Roughness of WC-Co Tools Used for Wood-Based Panel Machining. [PDF]

Materials (Basel)
Barlak M, Wilkowski J, Auriga R, Zagórski J, Boruszewski P, Borysiuk P.   +5 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Data on the effect of wood-based panel-emitted volatile organic compounds on mice. [PDF]

Data Brief
Hwang I, Kim K, Ryu SH, Ahn C, Cui XS, Jeung EB.   +5 more
europepmc   +1 more source

Synergies in Agricultural Biodiversity Conservation: Decomposing the Interaction Between Nature Parks and Agri‐Environment Schemes

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Understanding how policy instruments with overlapping goals interact is crucial for leveraging their synergies. This study explores the mechanisms for regional nature parks (a form of protected areas that impose no restrictions on agriculture) to enhance the adoption of biodiversity‐conserving agri‐environment schemes (AES) in Switzerland ...
Yanbing Wang, Christian Ritzel, Antonia Kaiser, Gabriele Mack   +3 more
wiley   +1 more source

Sustainability, Circularity, and Innovation in Wood-based Panel Manufacturing in the 2020s: Opportunities and Challenges. [PDF]

Curr For Rep
Garcia R, Calvez I, Koubaa A, Landry V, Cloutier A.   +4 more
europepmc   +1 more source