Advanced Engineering Materials, EarlyView.Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Introducing Uncertainty of Aquifer Parameters into an Optimization Model
, 1994 R. L. Ward, Richard C. Peralta
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Assessing parameter uncertainty in small-n pharmacometric analyses: value of the log-likelihood profiling-based sampling importance resampling (LLP-SIR) technique. [PDF]
J Pharmacokinet Pharmacodyn, 2020 Broeker A, Wicha SG.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Estimating parameters and uncertainty in geophysical inversion: A new approach using the Neighbourhood Algorithm [PDF]
, 2001 M. Sambirdge
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Evaluating Parameter Uncertainty in a Simulation Model of Cancer Using Emulators. [PDF]
Med Decis Making, 2019 de Carvalho TM +3 more
europepmc +1 more source
A Study on Thermal Expansion and Thermomechanical Behavior of Composite Metal Foams
Advanced Engineering Materials, EarlyView.The coefficient of thermal expansion of steel–steel composite metal foam (S‐S CMF) is shown to be lower than that of bulk stainless steel while its performance under compression demonstrate excellent mechanical stability and strength at all temperatures with gradualsoftening from 400 to 600 °C.
Zubin Chacko +2 more
wiley +1 more source
Bayesian seismic waveform inversion: Parameter estimation and uncertainty analysis
, 1998 Wences P. Gouveia, John A. Scales
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Improved modeling for the reheat phase in thermoforming through an uncertainty treatment of the key parameters [PDF]
, 2002 Azizeh‐Mitra Yousefi +2 more
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