Chromatin Profiling Reveals Distinct Male and Female Trajectories for Developmental Learning Potential
Sign Up to like & getrecommendations! Published in 2025 at "Developmental Neurobiology"
DOI: 10.1002/dneu.23017
Abstract: ABSTRACT Adult patterns of behavior can often be explained by developmental experiences. In some cases, developmental experience can have permanent influence on brain and behavior only during specific ages; these phases are called critical or… read more here.
Keywords: male female; learning potential; reveals distinct; chromatin profiling ... See more keywords
Learning potential functions from human demonstrations with encapsulated dynamic and compliant behaviors
Sign Up to like & getrecommendations! Published in 2017 at "Autonomous Robots"
DOI: 10.1007/s10514-015-9528-y
Abstract: We consider the problem of devising a unified control policy capable of regulating both the robot motion and its physical interaction with the environment. We formulate this control policy by a non-parametric potential function and… read more here.
Keywords: motion; human demonstrations; learning potential; control ... See more keywords
Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning
Sign Up to like & getrecommendations! Published in 2021 at "Computers in human behavior"
DOI: 10.1016/j.chb.2021.106772
Abstract: Societal events - such as natural disasters, political shifts, or economic downturns - are time-varying and impact the learning potential of students in unique ways. These impacts are likely accentuated during the COVID-19 pandemic, which… read more here.
Keywords: longitudinal data; intensive longitudinal; individualized learning; learning potential ... See more keywords
A DFT accurate machine learning description of molten ZnCl2 and its mixtures: 1. Potential development and properties prediction of molten ZnCl2
Sign Up to like & getrecommendations! Published in 2020 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2020.109955
Abstract: Abstract Molten eutectic salts consisting of ZnCl2 and other alkali chlorides are promising thermal storage and heat transfer fluid materials in the next generation concentrated solar thermal power. To go deep into the thermal and… read more here.
Keywords: machine learning; learning potential; zncl2 mixtures; molten zncl2 ... See more keywords
Accurate and Transferable Machine Learning Potential for Molecular Dynamics Simulation of Sodium Silicate Glasses.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.3c01115
Abstract: An accurate and transferable machine learning (ML) potential for the simulation of binary sodium silicate glasses over a wide range of compositions (from 0 to 50% Na2O) was developed. The potential energy surface is approximated… read more here.
Keywords: sodium silicate; transferable machine; learning potential; silicate glasses ... See more keywords
Machine Learning Potential Analysis of Structural Transition in Cu and Ag Nanoparticles: From Icosahedral to Face-Centered Cubic
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.5c00791
Abstract: A highly accurate high-dimensional neural network potential (HDNNP), trained using more than 180,000 DFT-calculated structures, is used to investigate the structure or realistic Cu–Ag bimetallic particles, as this is the dominant species during the CO2… read more here.
Keywords: structural transition; learning potential; machine learning; transition nanoparticles ... See more keywords
Revisiting Aspirin Polymorphic Stability Using a Machine Learning Potential
Sign Up to like & getrecommendations! Published in 2024 at "ACS Omega"
DOI: 10.1021/acsomega.4c04782
Abstract: In this study, we present a systematic computational investigation to analyze the long-debated free energy stability of two well-known aspirin polymorphs, denoted as Form I and Form II. Specifically, we developed a strategy to collect… read more here.
Keywords: stability; learning potential; aspirin; machine learning ... See more keywords
Accelerating CALYPSO structure prediction by data-driven learning of a potential energy surface.
Sign Up to like & getrecommendations! Published in 2018 at "Faraday discussions"
DOI: 10.1039/c8fd00055g
Abstract: Ab initio structure prediction methods have been nowadays widely used as powerful tools for structure searches and materials discovery. However, they are generally restricted to small systems owing to the heavy computational cost of the… read more here.
Keywords: learning potential; structure searches; calypso structure; structure ... See more keywords
Machine learning potential era of zeolite simulation
Sign Up to like & getrecommendations! Published in 2022 at "Chemical Science"
DOI: 10.1039/d2sc01225a
Abstract: Zeolites, owing to their great variety and complexity in structure and wide applications in chemistry, have long been the hot topic in chemical research. This perspective first presents a short retrospect of theoretical investigations on… read more here.
Keywords: zeolite; machine learning; potential era; simulation ... See more keywords
Does cognitive learning potential measured with the dynamic Wisconsin Card Sorting Test predict rehabilitation outcome in elderly patients post-stroke?
Sign Up to like & getrecommendations! Published in 2024 at "Brain Injury"
DOI: 10.1080/02699052.2024.2309257
Abstract: ABSTRACT Objective To determine whether cognitive learning potential measured with the dynamic Wisconsin Card Sorting Test has added value in predicting rehabilitation outcome in elderly patients post-stroke after controlling for age, ADL independence at admission,… read more here.
Keywords: adl independence; potential measured; rehabilitation; learning potential ... See more keywords
Assessing learning potential in elderly stroke patients: The validity of the dynamic Clock Drawing Task in comparison with the dynamic Wisconsin Card Sorting Test.
Sign Up to like & getrecommendations! Published in 2023 at "Applied neuropsychology. Adult"
DOI: 10.1080/23279095.2023.2171794
Abstract: Currently, there is no valid and feasible dynamic test available for assessing learning potential in elderly stroke patients. We designed a dynamic version of the Clock Drawing Task (dCDT) which we compared to the dynamic… read more here.
Keywords: test; dwcst; stroke patients; elderly stroke ... See more keywords