Results 131 to 140 of about 2,065,553 (347)

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Learning Optimal and Interpretable Summary Statistics of Galaxy Catalogs with SBI [PDF]

arXiv
How much cosmological information can we reliably extract from existing and upcoming large-scale structure observations? Many summary statistics fall short in describing the non-Gaussian nature of the late-time Universe in comparison to existing and upcoming measurements.
arxiv  

Distributional semantics and machine learning for statistical machine translation

, 2016
[EN]In this work, we explore the use of distributional semantics and machine learning to improve statistical machine translation. For that purpose, we propose the use of a logistic regression based machine learning model for dynamic phrase translation probability mod- eling.
openaire   +1 more source

Power quality daily predictions in smart off-grids using differential, deep and statistics machine learning models processing NWP-data

, 2023
Ladislav Zjavka
openalex   +1 more source

Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years

Advanced Materials, EarlyView.
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai, Stefano Canossa, Ekaterina A. Chernova, Simon M. Vornholt, Konstantin Stracke, Jack D. Evans, E. Eja Petersen, Stefan Wuttke, Romy Ettlinger   +8 more
wiley   +1 more source

Flame spray pyrolysis optimization via statistics and machine learning

, 2020
Noah H. Paulson, Joseph A. Libera, Marius Stan   +2 more
openalex   +1 more source

Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection

Advanced Materials, EarlyView.
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li, Kunxuan Liu, Di Wu, Pei Lin, Zhifeng Shi, Xinjian Li, Longhui Zeng, Yang Chai, Shu Ping Lau, Yuen Hong Tsang   +9 more
wiley   +1 more source

Non-asymptotic Properties of Generalized Mondrian Forests in Statistical Learning [PDF]

arXiv
Random Forests have been extensively used in regression and classification, inspiring the development of various forest-based methods. Among these, Mondrian Forests, derived from the Mondrian process, mark a significant advancement. Expanding on Mondrian Forests, this paper presents a general framework for statistical learning, encompassing a range of ...
arxiv  

Single‐Layer Spin‐Orbit‐Torque Magnetization Switching Due to Spin Berry Curvature Generated by Minute Spontaneous Atomic Displacement in a Weyl Oxide

Advanced Materials, EarlyView.
Single‐layer magnetization switching with a small critical current density of ≈106 A cm−2 is demonstrated. The strong intrinsic spin Hall effect, causing the switching, is induced by the synergy of the inherent spin‐orbit coupling and the spontaneous oxygen octahedral rotation in SrRuO3.The findings highlight the immense potential for realizing ...
Hiroto Horiuchi, Yasufumi Araki, Yuki K. Wakabayashi, Jun'ichi Ieda, Michihiko Yamanouchi, Yukio Sato, Shingo Kaneta‐Takada, Yoshitaka Taniyasu, Hideki Yamamoto, Yoshiharu Krockenberger, Masaaki Tanaka, Shinobu Ohya   +11 more
wiley   +1 more source