Atomic-position independent descriptor for machine learning of material properties

Machine learning of material behavior

Symbolic machine learning techniques can extract exible and comprehensible knowledge from empirical data of material behavior. The diversity of symbolic machine learning techniques ooers potential to match the requirements of many tasks when models of material behavior need to be created from data. We develop a series of steps for generating material behavior from empirical data and exemplify s...

Atomic Energy Models for Machine Learning: Atomic Restricted Boltzmann Machines

modification of nanoclay for improving the physico-mechanical properties of dental adhesives

هدف اصلی این مطالعه تهیه یک سامانه نوین چسب عاجی دندانی بر پایه نانورس پیوند شده با پلی متاکریلیک اسید، نانورس پیوند شده با پلی اکریلیک اسید، مخلوط نانوسیلیکا و نانورس پیوند شده با پلی متاکریلیک اسید، مخلوط نانوسیلیکا و نانورس پیوند شده با پلی اکریلیک اسید و نانورس پیوند شده با کیتوسان اصلاح شده با گلایسیدیل متاکریلات است. پیوند پلی متاکریلیک اسید و پلی اکریلیک اسید بر ری سطح نانورس در حضور و ...

Transferable Atomic Multipole Machine Learning Models for Small Organic Molecules.

Accurate representation of the molecular electrostatic potential, which is often expanded in distributed multipole moments, is crucial for an efficient evaluation of intermolecular interactions. Here we introduce a machine learning model for multipole coefficients of atom types H, C, O, N, S, F, and Cl in any molecular conformation. The model is trained on quantum-chemical results for atoms in ...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...