Results 141 to 150 of about 2,921,645 (302)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Models of Random Spanning Trees

open access: yesRandom Structures & Algorithms
ABSTRACT There are numerous randomized algorithms to generate spanning trees in a given ambient graph; several target the uniform distribution on trees (UST), while in practice the fastest and most frequently used draw random weights on the edges and then employ a greedy algorithm to choose the minimum‐weight spanning tree (MST ...
Eric Babson   +5 more
openaire   +3 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Bildungsgrenzen im Spiegel der Panel-Studie TREE [PDF]

open access: yes, 2016
Der Beitrag exploriert die heutigen Schweizer Bildungsgrenzen, wie sie sich einerseits in allgemeinen statistischen Kennwerten zum Bildungssystem, andererseits in den Ergebnissen von TREE spiegeln, der nationalen Längsschnittstudie zu Verläufen zwischen ...
Meyer, Thomas
core   +3 more sources

High‐Performance Bio‐Glue From the Berries of a Parasitic Plant

open access: yesAdvanced Materials, EarlyView.
We report a fully bio‐based adhesive derived primarily from a (poly)saccharide extract obtained from the berries of the hemi‐parasitic plant mistletoe (Viscum album), supplemented with tannic and malic acid without any further chemical functionalization.
Ufuk Gürer   +8 more
wiley   +1 more source

Random Dynamics and Finance: Constructing Implied Binomial Trees from a Predetermined Stationary Den [PDF]

open access: yes
We introduce a general binomial model for asset prices based on the concept of random maps. The asymptotic stationary distribution for such model is studied using techniques from dynamical systems.
Silvia Mayoral   +3 more
core  

Autonomous Folding of Soft Matter From Living Polymers

open access: yesAdvanced Materials, EarlyView.
Origami structures are endowed with “living” polymer creases that grow, remodel, and stiffen in response to nutrient solutions. This post‐fabrication growth enables autonomous folding, iterative regrowth, and mechanical tuning involving origami assemblies, such as cranes, Miura‐ori tessellations, rigid and non‐rigid square‐twist patterns, establishing ...
Jiahe Huang   +6 more
wiley   +1 more source

Node Classification in Random Trees

open access: yes
We propose a method for the classification of objects that are structured as random trees. Our aim is to model a distribution over the node label assignments in settings where the tree data structure is associated with node attributes (typically high dimensional embeddings).
Wouter W. L. Nuijten, Vlado Menkovski
openaire   +5 more sources

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

open access: yesAdvanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao   +3 more
wiley   +1 more source

A comparative evaluation of machine learning approaches for container freight rates prediction

open access: yesAsian Journal of Shipping and Logistics
This study evaluates the predictive performance of four models—Decision Tree, Random Forest, Prophet, and LSTM—in forecasting container freight rates, a key metric for strategic decision-making in the shipping industry. To address data heterogeneity, Min-
Namhun Kim, Junhee Cha, Junwoo Jeon
doaj   +1 more source

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