Symmetry-invariant quantum machine learning force fields

Machine learning techniques are essential tools to compute efficient, yet accurate, force fields for atomistic simulations.This approach has recently been extended to incorporate quantum computational methods, making use of variational quantum learning models to predict potential energy surfaces and atomic forces from ab initio training data.Howeve

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Adaptive Thermal Comfort in Japanese Houses during the Summer Season: Behavioral Adaptation and the Effect of Humidity

In order to clarify effect of humidity on the room temperatures reported Tinctures to be comfortable, an occupant thermal comfort and behavior survey was conducted for five summers in the living rooms and bedrooms of residences in the Kanto region of Japan.We have collected 13,525 thermal comfort votes from over 239 residents of 120 homes, together

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The Confusion Between Intravenous Sodium Chloride and Potassium Chloride: A Potential Application for a Problem Based Learning (PBL) in Nursing Education to Minimize Medication Errors

Sodium chloride and potassium chloride are two metal halides easily distinguishable by chemistry students.Nevertheless, it has been shown that the confusion between sodium chloride and potassium chloride is the underlaying cause of serious medical mistakes that may potentially culminate with the death Hat of the patient.In the present literature re

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