Results 11 to 20 of about 569,916 (267)
Distributed hierarchical SVD in the Hierarchical Tucker format [PDF]
SummaryWe consider tensors in the Hierarchical Tucker format and suppose the tensor data to be distributed among several compute nodes. We assume the compute nodes to be in a one‐to‐one correspondence with the nodes of the Hierarchical Tucker format such that connected nodes can communicate with each other.
Lars Grasedyck, Christian Löbbert
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Small reorganization energy acceptors enable low energy losses in non-fullerene organic solar cells
Minimising energy loss is important for achieving high-performance organic solar cells. Here, the authors design and synthesise two acceptors with small reorganisation energies and reveal the relationship between reorganisation energy and energy losses.
Yanan Shi +12 more
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Hierarchical models as marginals of hierarchical models
We investigate the representation of hierarchical models in terms of marginals of other hierarchical models with smaller interactions. We focus on binary variables and marginals of pairwise interaction models whose hidden variables are conditionally independent given the visible variables. In this case the problem is equivalent to the representation of
Guido Montúfar, Johannes Rauh
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In this paper, a new machine learning solution for function approximation is presented. It combines many simple and relatively inaccurate estimators to achieve high accuracy. It creates - in incremental manner - hierarchical, tree-like structure, adapting it to the specific problem being solved.
Brodowski, Stanisław, Podolak, Igor
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A nanogenerator based on metal nanoparticles and magnetic ionic gradients
Developing a new technique/method and/or mechanism for separating ionic charges is critical to the fabrication of a high-performance nanogenerator. Inspired by charge migration and/or separation under an electric bias, herein, we demonstrate a reverse ...
Jingyu Wang +4 more
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On Hierarchical Propositions [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling
Hierarchical Bayesian models (HBM) are powerful tools that can be used for spatiotemporal analysis. The hierarchy feature associated with Bayesian modeling enhances the accuracy and precision of spatiotemporal predictions.
Taghreed Alghamdi +2 more
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An artificial synapse based on molecular junctions
Designing scaled electronic devices for neuromorphic applications remains a challenge. Here, Zhang et al. develop an artificial molecular synapse based on self-assembled peptide molecule monolayer whose conductance can be dynamically modulated and used ...
Yuchun Zhang +7 more
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A Van Hove singularity (VHS) is a singularity in the phonon or electronic density of states of a crystalline solid. When the Fermi energy is close to the VHS, instabilities will occur, which can give rise to new phases of matter with desirable properties.
Jian Zhang +9 more
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All‐small‐molecule organic solar cells have attracted great interests due to their well‐defined molecular structures and suitability for investigating the relationship between the structure and properties.
Chen Yang +9 more
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