Archive for the '–' Category
Slime Museum
November 26, 2021Who’s getting sick? Report sheds new light on breakthrough cases and vaccine protection against hospitalizatio n | The Star
November 25, 2021Paul McCartney Doesn’t Really Want to Stop the Show | The New Yorker
November 25, 2021Verizon’s Samsung Galaxy S20 has mmWave 5G but less RAM – The Verge
November 24, 2021Is Arctic Zero Healthy? Here’s What You Should Know
November 24, 2021There Is Finally a Visible Way Out of the COVID Pandemic
November 24, 2021Machine-learning-assisted modeling: Physics Today: Vol 74, No 7
November 23, 2021QT : {{”
One of the most successful applications of machine learning to scientific modeling is in MD. Researchers study the properties of materials and molecules by using classical Newtonian dynamics to track the nuclei in a system. One critical issue in MD is how to model the PES that describes the interaction between the nuclei. Traditionally, modelers have dealt with the problem in several ways. One approach, ab initio MD, was developed in 1985 by Roberto Car and Michele
Parrinello7 and computes the interatomic forces on the fly using models based on first principles, such as density functional theory.8 Although the approach accurately describes the system under
consideration, it‘s computationally expensive: The maximum system size that one can handle is limited to thousands of atoms. Another approach uses empirical formulas to model a PES. The method is efficient, but guessing the right formula that can model the PES accurately enough is a difficult task, particularly for complicated systems, such as multicomponent alloys. In 2007 Jörg Behler and Parrinello introduced the idea of using neural networks to model the PES.9 In that new paradigm, a quantum mechanics model generates data that are used to train a neural-network-based PES model.
7. R. Car, M. Parrinello, Phys. Rev. Lett. 55, 2471 (1985).
https://doi.org/10.1103/PhysRevLett.55.2471
9. J. Behler, M. Parrinello, Phys. Rev. Lett. 98, 146401 (2007). https://doi.org/10.1103/PhysRevLett.98.146401
“}}
https://physicstoday.scitation.org/doi/10.1063/PT.3.4793
mentions Parrinelllo classic paper :
#8 has QM & NN (NN models for PES)
Your first line of defence – ScienceDirect
November 21, 2021https://www.sciencedirect.com/science/article/abs/pii/S0262407921005704
Found the cartoon description of the immune system quite illuminating. Always wondered how neutrophils fit in!
BinaxNOW COVID-19 Antigen Self-Test | Abbott Point of Care Testing
November 20, 2021https://www.globalpointofcare.abbott/en/product-details/binaxnow-covid-19-antigen-self-test-us.html
Good for finding test availability
