On the use of shape constraints for state estimation in reaction systems

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In recent years, there has been a surge of interest in predicting computed activation barriers, to enable the acceleration of the automated exploration of reaction networks. Consequently, various predictive approaches have emerged, ranging from graph-based ...

The present invention relates to systems and methods for predicting a prognosis of the neuropsychological and/or neuropsychiatric status in a subject based on reports of Minor Hallucination (MH) events in combination with electrophysiological data of the s ...

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Barium zirconium sulfide (BaZrS3) is an earth-abundant and environmentally friendly chalcogenide perovskite with promising properties for various energy conversion applications. Recently, sulfurization of oxide precursors has been suggested as a viable sol ...

Reaction optimization is challenging and traditionally delegated to domain experts who iteratively pro-pose increasingly optimal experiments. Problematically, the reaction landscape is complex and often requires hundreds of experiments to reach convergence ...

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The Spindle Assembly Abnormal Protein 6 (SAS-6) forms dimers, which then self-assemble into rings that are critical for the nine-fold symmetry of the centriole organelle. It has recently been shown experimentally that the self-assembly of SAS-6 rings is st ...

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We study the problem of learning unknown parameters of stochastic dynamical models from data. Often, these models are high dimensional and contain several scales and complex structures. One is then interested in obtaining a reduced, coarse-grained descript ...

On the use of shape constraints for state estimation in reaction systems

Chattez avec Graph Search

Benchmarking machine-readable vectors of chemical reactions on computed activation barriers

System for predicting a prognosis of the neuropsychological and/or neuropsychiatric status in a subject

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

Real-Time Localization for Closed-Loop Control of Assistive Furniture

CO2 Capture and Release in Amine Solutions: To What Extent Can Molecular Simulations Help Understand the Trends?

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Regularization for distributionally robust state estimation and prediction

Understanding the growth mechanism of BaZrS3 chalcogenide perovskite thin films from sulfurized oxide precursors

Bayesian Optimization for Chemical Reactions

Development of next-generation microfluidic systems for enhanced, faster, and cost-effective immunoassays for tissue diagnostics - Ac electrothermal flow & Acoustofluidics

Grand canonical Brownian dynamics simulations of adsorption and self-assembly of SAS-6 rings on a surface

Image scanning microscopy with a doughnut beam: signal strength and integrated intensity

Timing and spatial selection bias in rapid extreme event attribution

Data-Driven Unknown-Input Observers and State Estimation

Emergent thermophoretic behavior in chemical reaction systems

The influence of sulfate addition on hydration kinetics and C-S-H morphology of C3S and C3S/C(3)A systems

Dynamical low rank approximation for uncertainty quantification of time-dependent problems

Graph signal processing tailored for subgraph focus and community structure

Imaging of Chemical Kinetics at the Water–Water Interface in a Free-Flowing Liquid Flat-Jet

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes