Results 51 to 60 of about 523,565 (314)

Influence of safety barriers on probability of domino effect triggerred by pool fire in tank farm

You-qi chuyun, 2022
With the enlargement and intensification of oil storages, the technologies and equipment used in the tank farm are quite complicated. Hence, once any fire accident occurs, the domino effect may be triggered with catastrophic consequences.
Shouzhi WU, Lei HOU, Xingguang WU, Fangyuan LIU   +3 more
doaj   +1 more source

Weight Priors for Learning Identity Relations [PDF]

, 2019
Learning abstract and systematic relations has been an open issue in neural network learning for over 30 years. It has been shown recently that neural networks do not learn relations based on identity and are unable to generalize well to unseen data. The
Kopparti, R. M., Weyde, T.
core  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Integrating Bayesian network and generalized raking for population synthesis in Greater Jakarta

Regional Studies, Regional Science, 2019
Constructing agent data with detailed information on their sociodemographics is substantially important for agent-based modelling. However, to collect data about the whole population is not efficient, since it requires an expensive and time-consuming ...
Anugrah Ilahi, Kay W. Axhausen
doaj   +1 more source

Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces [PDF]

, 2014
In practical Bayesian optimization, we must often search over structures with differing numbers of parameters. For instance, we may wish to search over neural network architectures with an unknown number of layers. To relate performance data gathered for
Duvenaud, David, Hutter, Frank, Osborne, Michael A., Snoek, Jasper, Swersky, Kevin   +4 more
core  

Machine Learning‐Informed Nano Co‐Assembly Inhibits Fibroblast Activation Protein and Improves Drug Delivery in Fibrotic Tissue

Advanced Materials, EarlyView.
We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu, Qiang Long, Yihao Liu, Xiuqiao Sun, Baoding Zhang, Binxin Liao, Weibin Wu, Wangxi Hai, Pei Zhang, Wenhua Lian, Yuewen Zhu, Zheng Wang, Caisheng Wu, Xianming Deng, Hélder A. Santos, Xiaofeng Ye   +15 more
wiley   +1 more source

Facilitating Expedited Drug Approval– the Past, Present, and Future of Clinical Trials for Pediatric Rheumatic Disease

Arthritis Care &Research, Accepted Article.
Pamela F. Weiss, Hermine I. Brunner
wiley   +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

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

Advanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Using topological data analysis for building Bayesan neural networks

Научно-технический вестник информационных технологий, механики и оптики
For the first time, a simplified approach to constructing Bayesian neural networks is proposed, combining computational efficiency with the ability to analyze the learning process.
A. S. Vatian, N. F. Gusarova, D. A. Dobrenko, K. S. Pankova, I. V. Tomilov   +4 more
doaj   +1 more source