Physics-based prediction of biopolymer degradation
نویسندگان
چکیده
منابع مشابه
Control and prediction of degradation of biopolymer based hydrogels with poly(ɛ-caprolactone) subunits.
Complex hydrogels consisting of natural and synthetic polymers, stabilized by combining different physical and chemical cross-linking methods, were assessed by in vitro degradation tests performed at 37°C in phosphate buffer solution. Four biopolymer-based hydrogel series were comparatively evaluated as sponge or dense films as regards mass loss, morphology changes and thermal behavior over the...
متن کاملPhysics-Based Modeling of Hot-Carrier Degradation
We present and verify a physics-based model of hot-carrier degradation (HCD). This model is based on a thorough solution of the Boltzmann transport equation. Such a solution can be achieved using either a stochastic solver based on the Monte Carlo approach or a deterministic counterpart that is based on representation of the carrier energy distribution function as a series of spherical harmonic...
متن کاملPhysics-based RNA structure prediction
Despite the success of RNA secondary structure prediction for simple, short RNAs, the problem of predicting RNAs with long-range tertiary folds remains. Furthermore, RNA 3D structure prediction is hampered by the lack of the knowledge about the tertiary contacts and their thermodynamic parameters. Low-resolution structural modeling enables us to estimate the conformational entropies for a numbe...
متن کاملPhysics-Based Degradation Modelling for Filter Clogging
Separation of solids from fluid is a vital process to achieve the desired level of purification in industry. Contaminant filtration is a common process in a variety of applications in industry. Clogging of filter phenomena is the primary failure mode leading to replacement or cleansing of filter. Reduced performance and efficiency or cascading failures are the unfortunate outcomes of a clogged ...
متن کاملSeeing Physics, or: Physics is for Prediction
We describe how knowledge of the physics of the scene itself is important to computer vision. High-level knowledge of scene physics can help programs see the world, and programs that see and understand this way are useful for planning plan scene interactions. We illustrate these points with two of our most recent knowledge-intensive vision systems. One uses knowledge of physics and function to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Soft Matter
سال: 2019
ISSN: 1744-683X,1744-6848
DOI: 10.1039/c9sm00262f