computational-modelling

Documents about computational-modelling

• Computational approaches to the study of chalcogen bonding interactions#304795IRIS
• Additive Manufacturing of Ti6Al4V Using Directed Energy Deposition: An Elaborative Approach of Process Modelling via Computational Fluid Dynamics#417097Aperta
• Structural performance of steel automated rack-supported warehouses under fire#231811IRIS
• Fully synthetic replication of complex real biological cell clusters using a novel cluster-based 'Rosetta-Routine' computational modelling process.#244301NCBI PubMed Central
• Modelling structured trial-by-trial variability in evidence accumulation#397119OSF
• Large-scale functional coupling and computational modelling reveal frontotemporal hotspots in distributed network connectivity during working memory recognition, encoding, and retrieval#478010bioRxiv / medRxiv
• Designing Adaptive AI Assistance for Block-Based Modelling: A Wizard of Oz Study with Domain Experts#482814IRIS
• Computational Modelling of the Contaminant Transport with Biodegradation Processes and Physical Sorption in a Saturated Porous Medium#640885DataCite
• Computational Modelling of the Contaminant Transport with Biodegradation Processes and Physical Sorption in a Saturated Porous Medium#640886DataCite
• [Re] Computational Modelling of Glucose Uptake by SGLT1 and Apical GLUT2 in the Enterocyte#670106HAL (France)
• Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data#926863arXiv (All)
• Strategic preparation in task-switching paradigms: which task set to prepare and when?#16397OSF
• A Review of Agent-Based Models of Housing Markets#225139OSF
• Running Underworld in a Browser: Any Repository, Any Version#445419Figshare
• How many slices are required for accurate tumour pathological response assessment? A computational modelling approach on real-world solid tumours#475673Europe PMC
• Modelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks#627875arXiv (OAI Expanded)
• Modelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks#629737arXiv (All)
• Single human fingertip mechanoreceptive afferents simultaneously encode multidimensional aspects of touch#213245HAL (France)
• The Entangled Loop: Emotion, quantum-like interference and hierarchy in the architecture of consciousness#267157OSF
• Graphics processing units in bioinformatics, computational biology and systems biology#437414OpenAlex
• Computational modelling of 2D carbon-based materials with tunable electronic properties#661483Dipòsit Digital de la Universitat de Barcelona
• Idiographic Memory Modelling in ACT-R Using Alternating Maximum Likelihood Estimation#306005OSF
• Computational Approaches in Preclinical Studies on Drug Discovery and Development#335662OpenAlex
• Energy-level alignment of vacancy-ordered halide double perovskites#670123HAL (France)
• CFD modelling of natural displacement ventilation in an enclosure connected to an atrium#823877OpenAlex
• Experimental and Computational Investigation of Transport Phenomena in Initiated Chemical Vapor Deposition (icvd) Process#1027105İzmir Yüksek Teknoloji Enstitüsü
• Analysis of a main cabin ventilation system in a jack-up offshore platform Part I : Numerical modelling#410240University of Pretoria Repository
• When Democracy Is Worth the Effort: Seeing the Other Side as Willing Strengthens Pro-Democratic Motivation#473309OSF
• CDK12 Inhibitors in Myotonic Dystrophy Type I#614846Figshare
• Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare.#364527NCBI PubMed Central
• Comprehensive modelling of coastal landuse and land cover (LULC) dynamics and future changes using random forest, GEE, and MLP-Markov chain integration: a geo-computational approach.#382467NCBI PubMed Central
• Integrated docking, molecular dynamics, and Markov state modelling reveal epigenetic target engagement by anti-obesity drugs#307762Figshare
• On the computational modelling, global optimization and experimental investigation of the free-edge effect in composite laminated shells / Andreas Kappel ; Gutachter: Christian Mittelstedt, Wilfried Becker#970320Deutsche Nationalbibliothek
• The cogmod R Package: Easy-to-Use Bayesian Cognitive Models for Reaction Times, Choices and Subjective Ratings, with Applications to Computational Neuropsychology#477809OSF
• A Method to Predict Fouling on Multi-Storey Building Mounted Solar Photovoltaic Panels: A Computational Fluid Dynamics Approach#932618Journal of Thermal Engineering
• Modelling in the midst of a replication crisis for embodied action semantics: a commentary on Carriere et al. (2026)#148917OSF
• Sluice‑Regulated Estuarine Carbon Study#475597Figshare
• Industrial CFD and Fluid Modelling in Engineering, 2nd Edition#486899Directory of Open Access Books
• Additional file 2 of Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare#359858Figshare
• Additional file 1 of Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare#359859Figshare
• UAV data to model microclimate in an open ecosystem#124889DataCite
• UAV data to model microclimate in an open ecosystem#124890DataCite
• Comparison of arterial wave intensity analysis by pressure-velocity and diameter-velocity methods in a virtual population of adult subjects.#190593Spiral
• Bridging hydrodynamics and granulation kinetics: An efficient 2D CFD-coupled compartmental PBM approach for fluidised bed granulation#316839ULRR
• Reduced Basis Methods for the Solution of Parametrized PDEs in Repetitive and Complex Networks with Application to CFD#320077DataCite
• <b>Raster data of leaf chlorophyll content (LCC) for Gonghe County, 2013–2025</b>#475627Figshare
• Data and code for Pseudo-space learning for predicting urban heat exposure risk#68441DataCite
• Data and code for Pseudo-space learning for predicting urban heat exposure risk#68444DataCite
• Full-waveform inversion of borehole seismic data to delineate salt bodies: a new method using a level-set function applied to a weakly deformable mesh#153822HAL (France)
• <b>Multiscale urban growth simulation: Integrating spatiotemporal lag effects in urban land demand estimation and spatial allocation</b>#440493Figshare