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May 09 2024
Simplifying Computational Simulations: Using Large Language Models for Automated Research in Materials Science
Simplifying Computational Simulations: Using Large Language Models for Automated Research in Materials ScienceDate and timeThursday, May 9, 2024; 12:00 - 1:00 PM EDTPresenterEthan...
https://nanohub.org/events/details/2420
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May 02 2024
Unlocking the Power of Large Language Models for Research Innovation
Unlocking the Power of Large Language Models for Research InnovationDate and timeThursday, May 2, 2024; 12:00 - 1:00 PM EDTPresenterJuan C. Verduzco, Ph.D., Network for Computational...
https://nanohub.org/events/details/2419
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Nov 07 2023
Hands-On Workshop in nanoHUB: Machine Learning Models for Ionic Conductivity with Schrödinger's AutoQSAR
Hands-On Workshop in nanoHUB: Machine Learning Models for Ionic Conductivity with Schrödinger's AutoQSARSpeaker: Michael Rauch, Principal Scientist, SchrödingerDate: Nov. 7,...
https://nanohub.org/events/details/2397
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Oct 31 2023
Machine Learning for Materials Science with Schrödinger
Machine Learning for Materials Science with SchrödingerSpeaker: Anand Chandrasekaran, Principal Scientist, SchrödingerDate: Oct 31, 2023 1:00 PM EST Click here to...
https://nanohub.org/events/details/2396
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Apr 13 2022
Message-Passing Neural Networks for Molecular Property Prediction Using Chemprop
Abstract: Chemprop is an open-source implementation of a directed message passing neural network (D-MPNN) that has been demonstrated to be successful in predicting a variety of molecular...
https://nanohub.org/events/details/2170
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Feb 23 2022
nanoHUB Hands-On Workshop: Machine Learning with MATLAB
Abstract: Engineers and data scientists work with large amounts of data in a variety of formats such as sensor, image, video, telemetry, databases, and more. They use machine learning to find...
https://nanohub.org/events/details/2159
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May 26 2021
A Hands-on Introduction to Physics-Informed Neural Networks
Presenter:Ilias Bilionis, Purdue UniversityAbstract:Can you make a neural network satisfy a physical law? There are two main types of these laws: symmetries and ordinary/partial differential...
https://nanohub.org/events/details/1980
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May 19 2021
The Materials Simulation Toolkit for Machine Learning (MAST-ML): Automating Development and Evaluation of Machine Learning Models for Materials Property Prediction
Presenter:Ryan Jacobs, University of Wisconsin-MadisonAbstract:This tutorial contains an introduction to the use of the Materials Simulation Toolkit for Machine Learning (MAST-ML), a python package...
https://nanohub.org/events/details/1979
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Apr 23 2021
Parsimonious Neural Networks Learn Interpretable Physical Laws
Machine learning methods are widely used as surrogate models in the physical sciences, but less explored is the use of machine learning to discover interpretable laws from data. This tutorial...
https://nanohub.org/events/details/1974
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Mar 30 2021
MNT-EC Spring Development Workshop: CVD Synthesis and Image Analysis
This hands-on tutorial will introduce users to the Gr-ResQ ('graphene rescue') platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene...
https://nanohub.org/events/details/1966
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Mar 23 2021
MNT-EC Spring Development Workshop: CVD Synthesis and Image Analysis
This hands-on tutorial will introduce users to the Gr-ResQ ('graphene rescue') platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene...
https://nanohub.org/events/details/1965
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Feb 03 2021
Constructing Accurate Quantitative Structure-Property Relationships via Materials Graph Networks
This tutorial covers materials graph networks for modeling crystal and molecular properties. We will introduce the graph representation of crystals and molecules and how the convolutional...
https://nanohub.org/events/details/1953
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Nov 11 2020
Machine Learning Framework for Impurity Level Prediction in Semiconductors workshop
Register now: https://purdue.webex.com/purdue/onstage/g.php?MTID=e088a6ccfa042d4ac13bdb4450fa3d14bSpeaker: Dr. Arun Mannodi, Argonne National LaboratoryThis series of workshops introduces...
https://nanohub.org/events/details/1875
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Apr 09 2020
Intro to Jupyter in nanoHUB, Pandas for data organization and plotting
Topics covered in this session:Using Jupyter notebooks on nanoHUBOrganizing data using Pandas and simple plotting with PlotlyOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Juan Carlos...
https://nanohub.org/events/details/1847
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Apr 08 2020
Intro to Jupyter in nanoHUB, Pandas for data organization and plotting
Topics covered in this session:Using Jupyter notebooks on nanoHUBOrganizing data using Pandas and simple plotting with PlotlyOrganizers: Alejandro Strachan, Saaketh DesaiLeader: Juan Carlos...
https://nanohub.org/events/details/1840