Characterization and prediction of peptide structures on inorganic surfaces

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The interface tailoring is crucial for the efficiency and stability of Perovskite Solar Cells (PSCs). The reported interface engineering primarily focuses on the energy level turning and trap state passivation to improve the photovoltaic performance of PSC ...

Extracting value and insights from increasingly heterogeneous data sources involves multiple systems combining and consuming the data. With multi-modal and context-rich data such as strings, text, videos, or images, the problem of standardizing the data mo ...

Technology supporting meditation is a multimillion-dollar market that continues to grow. There is also strong academic interest to understand and improve the impact technology can have for the user experience of practitioners. However, little work investig ...

Organocatalysis has evolved significantly over the last decades, becoming a pillar of synthetic chemistry, but traditional theoretical approaches based on quantum mechanical computations to investigate reaction mechanisms and provide rationalizations of ca ...

Text Reuse reveals meaningful reiterations of text in large corpora. Humanities researchers use text reuse to study, e.g., the posterior reception of influential texts or to reveal evolving publication practices of historical media. This research is often ...

Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

Functional materials that enable many technological applications in our everyday lives owe their unique properties to defects that are carefully engineered and incorporated into these materials during processing. However, optimizing and characterizing thes ...

In the field of choice modeling, the availability of ever-larger datasets has the potential to significantly expand our understanding of human behavior, but this prospect is limited by the poor scalability of discrete choice models (DCMs): as sample sizes ...

A method for optimizing memory access for database operations is provided. The method may include performing a first database operation by at least executing a first instruction stream associated with the first database operation. The first database opera ...

Characterization and prediction of peptide structures on inorganic surfaces

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Efficient and Stable Perovskite Solar Cells by Tailoring of Interfaces

E-Scan: Consuming Contextual Data with Model Plugins

Adapting Haptic Feedback for Guided Meditation

Enriching the Computational Toolbox for Organocatalysis

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

AiiDA-defects: an automated and fully reproducible workflow for the complete characterization of defect chemistry in functional materials

Stochastic adaptive resampling for the estimation of discrete choice models

Determining an optimum quantity of interleaved instruction streams of defined coroutines