Results 71 to 80 of about 245,006 (326)

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

Advanced Functional Materials, EarlyView.
Digital Twins of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively. Abstract Solid‐state lithium batteries (SSBs) have the potential to overcome conventional Li‐ion batteries in performance and safety.
Jonathan O'Neill, Tanner Hamann, Keith Duncan, Eric Wachsman   +3 more
wiley   +1 more source

Effective cosmological constant induced by stochastic fluctuations of Newton's constant

Physics Letters B, 2016
We consider implications of the microscopic dynamics of spacetime for the evolution of cosmological models. We argue that quantum geometry effects may lead to stochastic fluctuations of the gravitational constant, which is thus considered as a ...
Marco de Cesare, Fedele Lizzi, Mairi Sakellariadou   +2 more
doaj   +1 more source

Cell shape analysis of random tessellations based on Minkowski tensors

, 2016
To which degree are shape indices of individual cells of a tessellation characteristic for the stochastic process that generates them? Within the context of stochastic geometry and the physics of disordered materials, this corresponds to the question of ...
A.M. Kraynik, A.M. Kraynik, A.M. Kraynik, B. Schuetrumpf, B. Schuetrumpf, B.J. Alder, C. Gay, C. Redenbach, C. Scholz, C. Scholz, C. Zong, D. Göring, D. Hug, D. Hug, D. Ruelle, D. Stoyan, D.J. Daley, E. Pineda, E.A. Lazar, F. Baccelli, F. Baccelli, F. Lavancier, F.M. Schaller, F.M. Schaller, F.M. Schaller, F.M. Schaller, F.M. Schaller, G. Last, G. Last, G. Zhang, H. Hansen-Goos, H. Mantz, J. Becker, J. Mecke, J. Møller, J. Møller, J. Møller, J. Talbot, J. Teichmann, J.B. Hough, K. Mecke, M. Kac, M. Kerscher, M.A. Klatt, M.E. Evans, M.L. Huber, O. Macchi, P. McCullagh, P.J. Steinhardt, R. Cowan, R. Miles, R. Schneider, S. Colombi, S. Hilgenfeldt, S. Mase, S. Torquato, S. Torquato, S. Zuyev, S.C. Kapfer, S.N. Chiu, T. Aste, T. Aste, T. Schreiber, T. Schreiber, T.C. Hales, V. Baumstark, V. Baumstark, V. Senthil Kumar, W. Mickel, W. Nagel, W.W. Wood, X.X. Nguyen   +71 more
core   +1 more source

Synthetic Antiferromagnetic Designer Nanodisks for High‐Performance Magnetic Separation

Advanced Healthcare Materials, EarlyView.
Micromagnetic‐modeling‐based design and scalable fabrication of synthetic antiferromagnet (SAF) magnetic disk particles (MDPs) using sputter deposition enable high‐performance magnetic separation. The SAF MDPs achieve high colloidal stability and magnetic responsiveness and enable efficient magnetic separation, outperforming conventional particles ...
Subas Scheibler, Sebastian Habermann, Alexander Gogos, Santiago Helbig, Lukas R. H. Gerken, Anna L. Neuer, Vera M. Kissling, Michal Krupinski, Mohammad Alinezhadfar, Rowena Crockett, Nico Kummer, Erik M. Mayr, Dieter Süss, Hans J. Hug, Inge K. Herrmann   +14 more
wiley   +1 more source

On the capacity functional of excursion sets of Gaussian random fields on $\R^2$ [PDF]

, 2014
When a random field $(X_t, \ t\in {\mathbb R}^2)$ is thresholded on a given level $u$, the excursion set is given by its indicator $~1_{[u, \infty)}(X_t)$.
Kratz, Marie, Nagel, Werner
core   +3 more sources

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

Mean-Reverting Stochastic Processes, Evaluation of Forward Prices and Interest Rates [PDF]

We consider mean-reverting stochastic processes and build self-consistent models for forward price dynamics and some applications in power industries. These models are built using the ideas and equations of stochastic differential geometry in order to ...
Aguero-Granados, M. A., Makhankov, V. G.
core   +1 more source

Advancements in Understanding the Physicochemical Properties of Reticular Materials: An In Situ and Operando Spectroscopic Perspective

Advanced Materials, EarlyView.
This review explores how in situ and operando spectroscopic techniques reveal the real‐time behavior of reticular materials, including MOFs and COFs. These methods track material formation and functionalization, structural changes, defect formation, dynamic responses to external triggers, and catalytic processes.
Bettina Baumgartner, Anna Wach, Xinwei Ye, Evelyn Ploetz, Bert M. Weckhuysen   +4 more
wiley   +1 more source

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source