Results 171 to 180 of about 214,809 (261)

Global minimum time trajectory planning considering curvature and distance for track racing. [PDF]

Sci Rep
Zhang D, Yuan Y, Zhu F.
europepmc   +1 more source

Fast Basins and Branched Fractal Manifolds of Attractors of Iterated Function Systems [PDF]

, 2015
Michael F. Barnsley, Andrew Vince, Univesity of Florida, USA   +2 more
openalex   +1 more source

Harnessing Non‐Covalent Protein–Protein Interaction Domains for Production of Biocatalytic Materials Systems

Advanced Functional Materials, EarlyView.
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel, Maria Alessandra Martini, Marius Stoeckle, Annika J. Weber, Kersten S. Rabe, Christof M. Niemeyer   +5 more
wiley   +1 more source

Reputation in the Iterated Prisoner's Dilemma: A Simple, Analytically Solvable Agents' Model. [PDF]

Entropy (Basel)
Cieśla M.
europepmc   +1 more source

GENERALISED ITERATION OF ENTIRE FUNCTIONS WITH INDEX-PAIR $[p,q]$

, 2017
Dibyendu Banerjee, Biswajit Mandal
openalex   +1 more source

Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction

Advanced Functional Materials, EarlyView.
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi, Shashi B. Mishra, Olivier Henrotte, Emiliano Cortes   +3 more
wiley   +1 more source

Norms emerge through iterated learning. [PDF]

Proc Natl Acad Sci U S A
Partington S, Kamtekar R, Nichols S.
europepmc   +1 more source

On the set where the iterates of an entire function are neither escaping nor bounded

, 2016
John W. Osborne, David J. Sixsmith
openalex   +1 more source

Fractional iteration of exponentially growing functions [PDF]

, 1962
G Szekeres
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source