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Introduction to Programming with LLM Coding Assistants
Online Presentations | 09 May 2024 | Contributor(s):: Kat Nykiel
This MNT-CURN workshop will introduce students to the use of large language models (LLMs) as coding assistants. This will be done through two approaches; first, using web-based chatbots like ChatGPT, Claude, and Gemini for code-related queries. Several examples of how to best use these tools will...
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Aneesh Reddy Poddutur
https://nanohub.org/members/429568
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Data-Driven Materials Innovation: where Machine Learning Meets Physics
Online Presentations | 29 Nov 2023 | Contributor(s):: Anand Chandrasekaran
Learn how Schrödinger’s tools can address common issues by using a combination of physics-based simulation data, enterprise informatics, and chemistry-aware ML.
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Hands-On Workshop in nanoHUB: Machine Learning Models for Ionic Conductivity with Schrödinger's AutoQSAR
Online Presentations | 29 Nov 2023 | Contributor(s):: Michael Rauch
In this workshop, we will demonstrate the hands-on use of Schrödinger's MS Maestro graphical user interface within nanoHUB to perform machine learning model creation and implementation.
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SCALE AI and Radiation Effects
Online Presentations | 18 Oct 2023 | Contributor(s):: Michael Alles
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Arpan Konar
https://nanohub.org/members/407645
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Eugenio Culurciello
https://culurciello.github.iohttps://euge-blog.github.io
https://nanohub.org/members/403223
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Alvin. J
https://nanohub.org/members/358399
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Machine Learning in Materials Science: Image Analysis Using Convolutional Neural Networks in MatCNN
Courses | 03 Nov 2021 | Contributor(s):: Tiberiu Stan, Jim James, Nathan Pruyne, Marcus Schwarting, Jiwon Yeom, Peter Voorhees, Ben J Blaiszik, Ian Foster, Jonathan D Emery
This course introduces fundamental concepts of artificial intelligence within the context of materials science and image segmentation. The two-week module was taught as part of a Computational Methods in Materials Science course at Northwestern University. The module is aimed at...
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Kushal Chakraborty
https://nanohub.org/members/336527
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Soumyajit Podder
To pursue the study of Electronic Science as a Doctoral student, where my curiosity, perception and group dynamics deliver significant contributions to the scientific community.
https://nanohub.org/members/335028
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Victor Wealth Adankai
https://nanohub.org/members/330788
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Sheimy Paz Serpa
https://nanohub.org/members/330719
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Jaden Kani Bryant
Jaden Bryant is an Undergraduate Student at Savannah State University majored in Electronic Engineering. His interest consist of computer engineering, neuroscience, Robotics, and artificial...
https://nanohub.org/members/327903
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FDNS21: Autonomous Research Systems for Carbon Nanotube Synthesis
Online Presentations | 20 May 2021 | Contributor(s):: Benji Maruyama
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Wisdom Mawuenyefia Amenyo
Mawuenyefia Wisdom Amenyo is a rising senior at Kwame Nkrumah University of Science and Technology, Ghana. With majors in Biomedical Engineering alongside a MedTech and AI enthusiast, he's working...
https://nanohub.org/members/316828
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Advancing Photonic Device Design and Quantum Measurements with Machine Learning
Online Presentations | 18 Dec 2020 | Contributor(s):: Alexandra Boltasseva
In this talk, photonic design approaches and emerging material platforms will be discussed showcasting machine-learning-assisted topology optimization for thermophotovoltaic metasurface designs and machine-learning-enabled quantum optical measurements.
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Bakhtiyor Rasulev
https://nanohub.org/members/305866
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Perspectives on High-Performance Computing in a Big Data World: Part D - Learning Model Details and Agent-Based Simulations
Online Presentations | 17 Oct 2019 | Contributor(s):: Fox, Geoffrey C.
This lecture completes the discussion of MLforHPC. It covers Learning Model Details and Agents and Time-Series Case Studies.
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Perspectives on High-Performance Computing in a Big Data World: Part E - Challenges and Opportunities, Conclusions
Online Presentations | 17 Oct 2019 | Contributor(s):: Fox, Geoffrey C.
This lecture covers the computer science issues raised in this talk. The conclusions note that HPDC/HPC is essential; it is good to work closely with industry with student Internships and Collaborations; the Global AI and Modeling Supercomputer GAIMSC is a good framework with an HPC Cloud linked...