Results 131 to 140 of about 3,522,660 (313)
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 +7 more
wiley +1 more source
Formulas and Theorems for the Special Functions of Mathematical Physics [PDF]
, 1968 Y. L. L. +3 more
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Advanced Functional Materials, EarlyView.Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo +4 more
wiley +1 more source
An Illustration from Classical Physics of Renormalization Mathematics [PDF]
, 1969 Charles K. Kaufman
openalex +1 more source
On a problem of mathematical physics [PDF]
Applications of Mathematics, 1966 openaire +1 more source
Advanced Functional Materials, EarlyView.Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang +11 more
wiley +1 more source
The Mathematics of Radiative Transfer, by I. W. Busbridge. Cambridge tracts in Mathematics and Physics number 50, Cambridge University Press and Macmillan Company of Canada. 143 pages. $ 5. 00. [PDF]
, 1962 Charles Fox
openalex +1 more source
Reconfigurable 3D Magnetic Nanoarchitectures
Advanced Functional Materials, EarlyView.This experimental study confirms that 3D magnetic tetrapods grown by focused electron beam‐induced deposition exhibit sequential, controllable magnetization reversal in the individual nanowire legs. The magnetic state of the nanoarchitecture can be controlled individually, on‐demand, through a variation of the direction and magnitude of the applied ...
Sabri Koraltan +8 more
wiley +1 more source