Results 271 to 280 of about 11,230,345 (378)

A dynamic optimization model for school network planning [PDF]

, 2000
António Pais Antunes, Dominique Peeters
openalex   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Vaccination strategies on dynamic networks with indirect transmission links and limited contact information. [PDF]

PLoS One, 2020
Shahzamal M, Mans B, Hoog F, Paini D, Jurdak R.   +4 more
europepmc   +1 more source

Dynamic palmitoylation of lymphoma proprotein convertase prolongs its half-life, but is not essential for trans-Golgi network localization [PDF]

, 2000
Jan-Willem H. P. VAN DE LOO, Meike TEUCHERT, Ilse G.L. Pauli, Evelyn Plets, Wim J.M. Van de Ven, John W.M. Creemers   +5 more
openalex   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source

Enzyme-Guided Selection and Cascaded Emergence of Nanostructured Constitutional Dynamic Networks. [PDF]

Nano Lett, 2020
Wang S, Yue L, Willner I.
europepmc   +1 more source

Dynamic recurrent neural networks for approximation of nonlinear systems

, 1999
Jin Liang, Madan M. Gupta, P.N. Nikiforuk   +2 more
openalex   +1 more source

Dynamic reconfiguration of node location in wormhole networks [PDF]

, 2000
José L. Sánchez, José M. Garcı́a
openalex   +1 more source

Large‐Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers

Advanced Engineering Materials, EarlyView.
What happens when 32 labs join forces to study nanoparticle‐modified powders? A data‐driven journey through laser powder bed fusion—now openly accessible for the entire additive manufacturing community—is studied. Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving ...
Ihsan Murat Kuşoğlu, Sunidhi Garg, Arvid Abel, Prasanna V. Balachandran, Stephan Barcikowski, Louis Becker, Jan-Simeon Bernsmann, Jonas Boseila, Christoph Broeckmann, Mert Coskun, Malte Dreyer, Mark East, Mark Easton, Nils Ellendt, Stan Gann, Bilal Gökce, Mareen Goßling, Joachim Greiner, Piotr Gruber, Moritz Grünewald, Kopila Gurung, Nick Hantke, Florian Hengsbach, Hannes Holländer, Brecht Van Hooreweder, Kay-Peter Hoyer, Yajiang Huang, Florian Huber, Olaf Kessler, Burçin Özbay Kısasöz, Stefan Kleszczynski, Ebubekir Koc, Tomasz Kurzynowski, Arno Kwade, Simon Leupold, Dongmei Liu, Felix Lomo, Arne Lüddecke, Gerrit A. Luinstra, David A. Mauchline, Fabian Meyer, Lars Meyer, Peter Middendorf, Stefan Nolte, Michał Olejarczyk, Ludger Overmeyer, Andrij Pich, Sebastian Platt, Felix Radtke, Roland Ramm, Silja-Katharina Rittinghaus, Richard Rothfelder, Johannes Rudloff, Mirko Schaper, Marie Luise Scheck, Johannes Henrich Schleifenbaum, Michael Schmidt, Jan T. Sehrt, Yvonne P. Shabanga, Alexander Sommereyns, Rabea Steuer, Layla Shams Tisha, Anastasiya Toenjes, Christopher Tuck, Adrian Vaghar, Bey Vrancken, Zhengze Wang, Sebastian Weber, Jan Wegner, Bai-Xiang Xu, Yangyiwei Yang, Duyao Zhang, Evgeny Zhuravlev, Anna R. Ziefuss   +73 more
wiley   +1 more source

Oxime metathesis: tuneable and versatile chemistry for dynamic networks. [PDF]

Chem Sci
Pettazzoni L, Ximenis M, Leonelli F, Vozzolo G, Bodo E, Elizalde F, Sardon H.   +6 more
europepmc   +1 more source