Results 81 to 90 of about 3,809,966 (324)

Application of sensitivity analysis in microscale heat transfer

Computer Assisted Methods in Engineering and Science, 2017
In the paper, the thin metal film subjected to the ultrashort laser pulse has been analyzed. The heat conduction in the domain considered has been described by two-temperature model consisting of the system of two coupled parabolic equations determining
Ewa Majchrzak, Jolanta Dziatkiewicz, Grażyna Kałuża   +2 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Modeling, Simulation, and Vision-/MPC-Based Control of a PowerCube Serial Robot

Applied Sciences, 2020
A model predictive control (MPC) scheme for a Schunk PowerCube robot is derived in a structured step-by-step procedure. Neweul-M2 provides the necessary nonlinear model in symbolical and numerical form.
Jörg Fehr, Patrick Schmid, Georg Schneider, Peter Eberhard   +3 more
doaj   +1 more source

Thermal Density Functional Theory in Context

, 2013
This chapter introduces thermal density functional theory, starting from the ground-state theory and assuming a background in quantum mechanics and statistical mechanics.
A. Kietzmann, A. Nagy, A. Theophilou, A.C. Cancio, A.D. Becke, A.D. Becke, C. Lee, C.A. Ullrich, C.D. Sherrill, D. Langreth, E. Engel, E. Fermi, E. Fermi, E. Gross, E.H. Lieb, F. Perrot, F. Perrot, F. Perrot, F. Schwabl, F.R. Graziani, F.W. Averill, H. Englisch, H. Englisch, H. Englisch, H. Eschrig, J. Harriman, J. Perdew, J. Perdew, J.C. Snyder, J.P. Perdew, J.P. Perdew, J.T. Chayes, K. Burke, K. Burke, K. Burke, K.U. Plagemann, K.Y. Sanbonmatsu, L. Oliveira, L.H. Thomas, M. Greiner, M. Levy, M. Levy, M. Levy, M. Reed, M.D. Knudson, N.I. Gidopoulos, O. Gunnarsson, P. Hohenberg, P.R.T. Schipper, P.R.T. Schipper, R. Jones, R. Leeuwen van, R.G. Dandrea, R.G. Parr, R.M. Dreizler, S. Atzeni, S. Pittalis, S. Root, S.G. Wang, S.V. Valone, T.R. Mattsson, V. Fock, V. Karasiev, V.V. Karasiev, V.V. Karasiev, V.V. Karasiev, W. Kohn, W. Kohn   +67 more
core   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Mesh refitting approach: a simple method to model mixed-mode crack propagation in nonlinear elastic solids

Advanced Modeling and Simulation in Engineering Sciences, 2017
We devise a finite element methodology to trace quasi-static through-thickness crack paths in nonlinear elastic solids. The main feature of the proposed method is that it can be directly implemented into existing large scale finite element solvers with ...
Y. Sudhakar, Wolfgang A. Wall
doaj   +1 more source

Probabilistic learning for modeling and quantifying model‐form uncertainties in nonlinear computational mechanics

International Journal for Numerical Methods in Engineering, 2018
Recently, a novel nonparametric probabilistic method for modeling and quantifying model‐form uncertainties in nonlinear computational mechanics was proposed.
Christian Soize, C. Farhat
semanticscholar   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Computational gearing mechanics [PDF]

This is an expository report summarizing the research efforts and results under NASA Grant NSG-3188 to the University of Cincinnati. Since the grant has now ended this report also serves as a final report for the grant. The focus of the research has been
Huston, Ronald L.
core   +1 more source

Combined 5‐aminolevulinic acid and ferric ammonium citrate treatment promotes hair follicle growth by activating dermal papilla cells

FEBS Open Bio, EarlyView.
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley   +1 more source