Results 51 to 60 of about 380,569 (245)

Two different template replicators coexisting in the same protocell: stochastic simulation of an extended chemoton model. [PDF]

PLoS ONE, 2011
The simulation of complex biochemical systems, consisting of intertwined subsystems, is a challenging task in computational biology. The complex biochemical organization of the cell is effectively modeled by the minimal cell model called chemoton ...
István Zachar, Anna Fedor, Eörs Szathmáry   +2 more
doaj   +1 more source

Data-driven modelling of biological multi-scale processes

, 2015
Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales.
Hasenauer, Jan, Hross, Sabrina, Jagiella, Nick, Theis, Fabian J.   +3 more
core   +1 more source

Molecularly Engineered Highly Stable Memristors with Ultra‐Low Operational Voltage: Integrating Synthetic DNA with Quasi‐2D Perovskites

Advanced Functional Materials, EarlyView.
Molecularly engineered memristors integrating Ag nanoparticle–embedded synthetic DNA with quasi‐2D halide perovskites enable ultra‐low‐operational voltage, forming‐free resistive switching, and record‐low power density. This synergistic integration of customized DNA and 2D OHP in bio‐hybrid architecture enhances charge transport, reduces variability ...
Kavya S. Keremane, Abhinav Gorthy, Luyao Zheng, Chiranth C Ravi, Haodong Wu, Jiamao Zheng, Neela H. Yennawar, Shashank Priya, Rashmi Jha, Bed Poudel   +9 more
wiley   +1 more source

Stochastic optimization methods for the simultaneous control of parameter-dependent systems

, 2020
We address the application of stochastic optimization methods for the simultaneous control of parameter-dependent systems. In particular, we focus on the classical Stochastic Gradient Descent (SGD) approach of Robbins and Monro, and on the recently ...
Biccari, Umberto, Navarro-Quiles, Ana, Zuazua, Enrique   +2 more
core  

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties

, 2017
This paper proposes a statistical verification framework using Gaussian processes (GPs) for simulation-based verification of stochastic nonlinear systems with parametric uncertainties.
ang, bishop, clarke, desautels, elliott, gotovos, kozarev, kulesza, maler, quindlen, rasmussen, tipping, topcu   +12 more
core   +1 more source

Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers

Advanced Functional Materials, EarlyView.
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley   +1 more source

Stochastic delayed analysis of coronavirus model through efficient computational method

Scientific Reports
Stochastic delayed modeling has a significant non-pharmaceutical intervention to control transmission dynamics of infectious diseases and its results are close to the reality of nature.
Naveed Shahid, Ali Raza, Sana Iqbal, Nauman Ahmed, Emad Fadhal, Baboucarr Ceesay   +5 more
doaj   +1 more source

A Fast and Generic Method to Identify Parameters in Complex and Embedded Geophysical Models: The Example of Turbulent Mixing in the Ocean

Journal of Advances in Modeling Earth Systems, 2021
Geophysical models make predictions relying on parameter values to be estimated from data. However, existing methods are costly because they require either many runs of the complex geophysical model or to implement an adjoint model.
Clement Aldebert, Guillaume Koenig, Melika Baklouti, Philippe Fraunié, Jean‐Luc Devenon   +4 more
doaj   +1 more source

IGA-based Multi-Index Stochastic Collocation for random PDEs on arbitrary domains

, 2019
This paper proposes an extension of the Multi-Index Stochastic Collocation (MISC) method for forward uncertainty quantification (UQ) problems in computational domains of shape other than a square or cube, by exploiting isogeometric analysis (IGA ...
Beck, Joakim, Tamellini, Lorenzo, Tempone, Raúl   +2 more
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source