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Juan Carlos Verduzco Gastelum
Materials Engineering PhD Graduate Student at Purdue University.Research in "Solid-state energy storage devices rational materials design".Background in Mechanical and Electrical Engineering.
https://nanohub.org/members/207041
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Travis L Merrick
https://nanohub.org/members/206944
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Deep Machine Learning for Machine Performance and Damage Prediction
08 Aug 2018 | Contributor(s):: Elijah Reber, Nickolas D Winovich, Guang Lin
Deep learning has provided opportunities for advancement in many fields. One such opportunity is being able to accurately predict real world events. Ensuring proper motor function and being able to predict energy output is a valuable asset for owners of wind turbines. In this paper, we look at...
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Mostopha Muhammad Labib
https://nanohub.org/members/203896
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Miguel Angel Sevillano Bendezú
https://nanohub.org/members/200963
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Jeremy Seiji Marquardt
Sophomore going on Junior in Nuclear Engineering Bachelors, with interest in extreme nuclear materials and a minor in math. Currently participating in SURF at nanoHUB with Prof. Koslowski's group.
https://nanohub.org/members/199533
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Adedapo Sunday Adeyinka
Adedapo Adeyinka is a Lecturer at the Department of Chemical Sciences, University of Johannesburg. He completed his PhD at the University of Pretoria and spent two years conducting Postdoctoral...
https://nanohub.org/members/197673
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Patrick Heney
I started programming on a TI‑99/4A when I was about 8 years old.I learned how to build computers during an internship with a technology company in Washington DC.I started my career in the...
https://nanohub.org/members/194443
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Understanding and Optimizing Exploratory Hydrothermal Reactions
Online Presentations | 22 Jan 2018 | Contributor(s):: Alex Norquist
In this work, an alternative approach that uses machine-learning algorithms trained on reaction data to predict reaction outcomes for the crystallization of templated vanadium selenites is demonstrated. Archived ‘dark’ reactions, both failed and successful attempts at hydrothermal...
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Muhammad Bilal
Bilal’s research focuses on data-driven solutions for the environmental and health impact assessment of engineered nanomaterials (ENMs) using advanced machine learning/data mining and simulation...
https://nanohub.org/members/179709
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Applying Machine Learning to Computational Chemistry: Can We Predict Molecular Properties Faster without Compromising Accuracy?
Presentation Materials | 14 Aug 2017 | Contributor(s):: Hanjing Xu, Pradeep Kumar Gurunathan
Non-covalent interactions are crucial in analyzing protein folding and structure, function of DNA and RNA, structures of molecular crystals and aggregates, and many other processes in the fields of biology and chemistry. However, it is time and resource consuming to calculate such interactions...
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Predicting Locations of Pollution Sources using Convolutional Neural Networks
Presentation Materials | 07 Aug 2017 | Contributor(s):: Yiheng Chi, Nickolas D Winovich, Guang Lin
Pollution is a severe problem today, and the main challenge in water pollution controls and eliminations is detecting and locating pollution sources. This research project aims to predict the locations of pollution sources given diffusion information of pollution in the form of array or...
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Fouzia Shaikh
https://nanohub.org/members/175239
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S Kiran Kadam
https://nanohub.org/members/172030
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Dedy Farhamsa
https://nanohub.org/members/170299
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Claire Battye
"Research is creating new knowledge."Neil Armstrong
https://nanohub.org/members/169180
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Kevin P. Greenman
Kevin Greenman is an assistant professor of chemistry and chemical engineering at the Catholic Institute of Technology. He completed his Ph.D. in chemical engineering and computation at MIT working...
https://nanohub.org/members/167923
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Marius Stan
https://nanohub.org/members/156713
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Model Selection Using Gaussian Mixture Models and Parallel Computing
Tools | 20 Jul 2016 | Contributor(s):: Tian Qiu, Yiyi Chen, Georgios Karagiannis, Guang Lin
Model Selection Using Gaussian Mixture Models
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Juan Sebastian Martinez
I am a senior in Electronic Engineering and Systems and Computer Engineering at Universidad de los Andes in Bogotá. Throughout my learning, I have gained experience with different programming...
https://nanohub.org/members/145729