Inverse design of materials by machine learning
J Wang, Y Wang, Y Chen - Materials, 2022 - mdpi.com
It is safe to say that every invention that has changed the world has depended on materials.
At present, the demand for the development of materials and the invention or design of new …
At present, the demand for the development of materials and the invention or design of new …
Parameters identification of a permanent magnet dc motor: A review
MF Fazdi, PW Hsueh - Electronics, 2023 - mdpi.com
Since permanent magnet direct current (DC) motors are mainly used in various industrial
automation applications, the demand for electric motors is increasing rapidly. However, in …
automation applications, the demand for electric motors is increasing rapidly. However, in …
Snap-drift cuckoo search: A novel cuckoo search optimization algorithm
Cuckoo search (CS) is one of the well-known evolutionary techniques in global optimization.
Despite its efficiency and wide use, CS suffers from premature convergence and poor …
Despite its efficiency and wide use, CS suffers from premature convergence and poor …
PSOVina: The hybrid particle swarm optimization algorithm for protein–ligand docking
Protein–ligand docking is an essential step in modern drug discovery process. The
challenge here is to accurately predict and efficiently optimize the position and orientation of …
challenge here is to accurately predict and efficiently optimize the position and orientation of …
Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance
Abstract The Human Immunodeficiency Virus (HIV) is a complex retrovirus that progressively
deteriorates the immune system of infected patients, eventually causing death. Although …
deteriorates the immune system of infected patients, eventually causing death. Although …
[LIVRE][B] Introduction to nature-inspired optimization
G Lindfield, J Penny - 2017 - books.google.com
Introduction to Nature-Inspired Optimization brings together many of the innovative
mathematical methods for non-linear optimization that have their origins in the way various …
mathematical methods for non-linear optimization that have their origins in the way various …
Variational Bayesian-based maximum correntropy cubature Kalman filter method for state-of-charge estimation of Li-ion battery cells
State-of-charge estimation is an essential part of a battery management system. Charging
and discharging batteries involve complex chemical processes that could lead to undesired …
and discharging batteries involve complex chemical processes that could lead to undesired …
Inverse design of bulk morphologies in multiblock polymers using particle swarm optimization
Multiblock polymers are a fascinating class of soft materials owing to their spontaneous self-
assembly into a variety of ordered mesophases at the nanoscale. However, controlling the …
assembly into a variety of ordered mesophases at the nanoscale. However, controlling the …
Machine Learning in Soft Matter: From Simulations to Experiments
K Zhang, X Gong, Y Jiang - Advanced Functional Materials, 2024 - Wiley Online Library
Soft matter with diverse functionalities that are easily designable has fascinated tremendous
research interests in the past several decades. Nevertheless, the inherent confluence of time …
research interests in the past several decades. Nevertheless, the inherent confluence of time …
How to improve the convergence on sigmoid fuzzy cognitive maps?
Abstract Fuzzy Cognitive Maps (FCM) may be defined as Recurrent Neural Networks that
allow causal reasoning. According to the transformation function used for updating the …
allow causal reasoning. According to the transformation function used for updating the …