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2,136 papers
TNFR-Python-Engine is a Python framework for coherent-pattern analysis on graph-coupled networks. The nodal relation dEPI/dt = nu_f DeltaNFR organizes a declared evolution model; pressure, phase, capacity, support and any additional forcing require their own specifications. The engine provides 13 registered structural...
This study incorporates digital factors into the corporate production function and extends the firm-level pollution emission decision-making model. From both technological and structural perspectives, it examines the mechanisms through which digitalization influences carbon productivity. An orthogonal projection-based...
How spatially organized mixed wettability controls pore-scale interface recession and liquid replenishment during convective drying remains insufficiently understood. This study investigates this process using an established multicomponent pseudopotential lattice Boltzmann model with a cascaded collision operator and...
Abstract High-quality drinking water is essential for modern settlements, and accurate modeling of solute mixing at pipe junctions is crucial in water distribution networks (WDNs). While complete mixing is often assumed, recent studies emphasize the need to account for incomplete mixing. This paper advances the underst...
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Abstract Solar energetic particle (SEP) events are rare, high-impact space weather phenomena that pose serious radiation hazards to astronauts and polar-route aircraft crews, damage satellite electronics, and disrupt satellite communications and navigation systems. Forecasting SEPs allows preventive measures to be take...
Metal-reinforced polylactic acid (PLA) composites produced by fused deposition modeling/fused filament fabrication (FDM/FFF) offer thermal, electrical, magnetic, antimicrobial, biomedical, and post-processing functions. However, these benefits are often accompanied by reduced strength, ductility, and fracture reliabili...
The development of easily recoverable adsorbents containing abundant and accessible binding sites is essential for the efficient recovery of rare-earth ions from aqueous media. In this study, a branched polyethyleneimine-polyacrylonitrile (bPEI-PAN) fibrous adsorbent was fabricated by incorporating bPEI into PAN throug...
Nonthermal plasma technology has garnered significant attention for its food preservation capabilities. However, the applicability of floating electrode–dielectric barrier discharge (FE-DBD) plasma in this regard has not been explored. Therefore, the effects of FE-DBD plasma (1.1 kV, 43 kHz, N 2 1.5 m/s, and 1–90 min)...
Phase-Dependent Barrier Crossing in an Amyloid-Relevant Reduced Coordinate under Biharmonic Terahertz Driving Repository Version: 1.1.0DOI: 10.5281/zenodo.10824555 Overview This repository contains the complete, reproducible computational pipeline supporting the manuscript "Phase-Dependent Barrier Crossing in an Amyloi...
Dry reforming of methane (DRM) is a key reaction for syngas production from greenhouse gases (methane and carbon dioxide). Reaction kinetics predict reaction rates, identify and understand reaction mechanisms, and guide catalyst and reactor design. To provide a clear sense of progress in DRM kinetic modeling, we conduc...
Phase-Dependent Barrier Crossing in an Amyloid-Relevant Reduced Coordinate under Biharmonic Terahertz Driving Repository Version: 1.1.0DOI: 10.5281/zenodo.10824555 Overview This repository contains the complete, reproducible computational pipeline supporting the manuscript "Phase-Dependent Barrier Crossing in an Amyloi...
Abstract Diffusion tractography is the prominent in-vivo technique to study and investigate white-matter pathways in the human brain. While tractography is a powerful method, recent work suggests that different tractography methods can produce strikingly different representations of the same white-matter pathway. This...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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