Cu Diffusion in Amorphous Ta2O5 Studied with a Simplified Neural Network Potential
نویسندگان
چکیده
منابع مشابه
Nonnegative autoencoder with simplified random neural network
This paper proposes new nonnegative (shallow and multi-layer) autoencoders by combining the spiking Random Neural Network (RNN) model, the network architecture typical used in deep-learning area and the training technique inspired from nonnegative matrix factorization (NMF). The shallow autoencoder is a simplified RNN model, which is then stacked into a multi-layer architecture. The learning al...
متن کاملIonic Diffusion in Cu6PS5Br Studied by Cu NMR
Applying 6 3 Cu N M R technique, we observed exchange between the nonequivalent copper sites in crystalline Cu6PS5Br, known as a member of the mineral "argyrodite". Below 200 K, where the motion of the copper (I) ion is slow, we could distinguish several nonequivalent copper sites. On increasing the temperature, the chemical exchange between the nonequivalent cation sites was seen on the " C u ...
متن کاملApproximation with Diffusion-Neural-Network
Neural information processing models largely assume that the samples for training a neural network are sufficient. Otherwise there exist a non-negligible error between the real function and estimated function from a trained network. To reduce the error in this paper we suggest a diffusion-neural-network (DNN) to learn from a small sample. First, we show the principle of information diffusion us...
متن کاملDiffusion of small two-dimensional Cu islands on Cu(111) studied with a kinetic Monte Carlo method
Diffusion of small two-dimensional Cu islands containing up to 10 atoms on Cu 111 has been studied using the newly developed self-learning Kinetic Monte Carlo SLKMC method which is based on a database of diffusion processes and their energetics accumulated automatically during the implementation of the SLKMC code. Results obtained from simulations in which atoms hop from one fcc hollow site to ...
متن کاملProtein Folding, Unfolding and Aggregation Studied Using an All-Atom Model with a Simplified Interaction Potential
Finding a suitable transferable energy function for modeling of how different proteins fold into their respective native states is a major challenge in biophysics. Here, we discuss an all-atom protein model with implicit water and some studies based on this model. The model has a simplified and computationally convenient energy function. Despite its simplicity, the model has been found to quite...
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: Journal of the Physical Society of Japan
سال: 2017
ISSN: 0031-9015,1347-4073
DOI: 10.7566/jpsj.86.104004