Results 121 to 130 of about 1,466,211 (327)

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

Application of Intelligent Dynamic Bayesian Network with Wavelet Analysis for Probabilistic Prediction of Storm Track Intensity Index

open access: yesAtmosphere, 2018
The effective prediction of storm track (ST) is greatly beneficial for analyzing the development and anomalies of mid-latitude weather systems. For the non-stationarity, nonlinearity, and uncertainty of ST intensity index (STII), a new probabilistic ...
Ming Li, Kefeng Liu
doaj   +1 more source

Adaptive learning, endogenous inattention, and changes in monetary policy [PDF]

open access: yes
This paper develops an adaptive learning formulation of an extension to the Ball, Mankiw, and Reis (2005) sticky information model that incorporates endogenous inattention.
Bruce McGough   +3 more
core  

Atomic Size Misfit for Electrocatalytic Small Molecule Activation

open access: yesAdvanced Functional Materials, EarlyView.
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong   +3 more
wiley   +1 more source

A New Memory Effect in Bulk Crystals of 1T‐TaS2

open access: yesAdvanced Functional Materials, EarlyView.
A new memory effect is discovered in 1T‐TaS₂, appearing as a temperature shift in the metal to insulator transition, coinciding with the recently reported ramp reversal memory. These findings imply that ramp reversal memory is an emergent phenomenon, likely to appear in many different systems that share a few basic properties, which are discussed in ...
Avital Fried   +4 more
wiley   +1 more source

M-elite coevolutionary kinetic-molecular theory optimization algorithm

open access: yesTongxin xuebao, 2015
M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to ...
Chao-dong FAN, Jing ZHANG, Ling-zhi YI
doaj   +2 more sources

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

Convergence in Finite Cournot Oligopoly with Social and Individual Learning [PDF]

open access: yes
Convergence to Nash equilibrium in Cournot oligopoly is a problem that recurrently arises as a subject of study in economics. The development of evolutionary game theory has provided an equilibrium concept more directly connected with adjustment dynamics
Murat YILDIZOGLU (GREThA)   +1 more
core  

Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts

open access: yesAdvanced Functional Materials, EarlyView.
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li   +3 more
wiley   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

open access: yesAdvanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy