Mathieu Bauchy
Mathieu Bauchy
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Concrete mix design optimization with Concrete Copilot
In this video, we review the different steps needed to optimize a concrete mix design with Concrete Copilot:
0:00 Introduction
0:20 Step 1: Selecting an existing mix design to optimize
1:45 Step 2: Adding the mix design to the optimization queue
2:37 Step 3: Verifying the mix design constraints
3:25 Step 4: Optimizing the mix design
5:11 Step 5: Adjusting the constraints, if necessary
6:23 Step 6: Adding the mix design to the trial batch queue
7:27 Step 7: Tracking the trial batch process
8:09 Step 8: Placing the optimized mix design into production
มุมมอง: 93

วีดีโอ

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Discover how Concrete.ai helped Prairie Material reduce their Global Warming Potential (GWP) by an impressive 20% using AI-powered concrete mix optimization. In this testimonial, Prairie Material shares how Concrete.ai's innovative software-as-a-service Concrete Copilot platform revolutionized their approach to sustainable construction by optimizing concrete mixes for both cost and environmenta...
Concrete Copilot Demo | Optimize your concrete mix designs with AI
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Demo of Concrete.ai's Concrete Copilot platform. Concrete Copilot allows concrete producers to reduce the cost and carbon footprint of their concrete mix designs using artificial intelligence.
Concrete.ai - Building Tomorrow, Sustaining Today
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Find out more about Concrete.ai and Concrete Copilot at: www.concrete.ai Did you know that, after water, the most consumed material on Earth is concrete? Concrete is not just a material; it’s the foundation of modern life. It’s the roads we drive on, the bridges we cross, the homes we live in. But there's a hidden cost. Concrete is a climate killer. It contributes to 8% of global CO2 emissions....
Concrete has a HIDDEN COST - But AI can help
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Concrete is the most used material in the world, only second to water. Even though we cannot imagine a world without concrete, it comes with an unexpected cost: it's significantly harming our environment. Discover how we can use artificial intelligence (AI) and machine learning (ML) to greatly reduce concrete's carbon footprint.
How Artificial Intelligence will Decarbonize Concrete | Concrete.ai
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Concrete.ai is a software-as-a-service that uses generative artificial intelligence (AI) to drastically reduce the cost and carbon footprint of concrete. Concrete.ai delivers concrete producers a simple, fast, and flexible decision-making tool to optimize concrete performance, cost-savings, and carbon reductions. Unlike common software solutions that deliver “one-size-fits-all” platforms with l...
Behind-the-Scenes at NASA's JPL: Unveiling the Secrets of Space Exploration
มุมมอง 250ปีที่แล้ว
Welcome to an exclusive journey into the heart of space exploration! In this captivating video, we take you on a behind-the-scenes tour of NASA's renowned Jet Propulsion Laboratory (JPL), where the mysteries of the universe are unraveled and groundbreaking missions are born. 🚀 Prepare to be awed as we unveil the secrets that fuel our quest to explore the cosmos. From Mars Rovers to interstellar...
Solving deflection problems (UCLA CEE 108 - Mechanics of Deformable Materials)
มุมมอง 294ปีที่แล้ว
In this video, we review how to use the integration method to solve deflection problems. This method makes it possible to analytically calculate the distributed load, internal shear, internal moment, angle with respect to the horizontal axis, and lateral deflection for beams subjected to external distributed loads, shear forces, and moments.
Graphically solving bending problems (UCLA CEE 108 - Mechanics of Deformable Materials)
มุมมอง 249ปีที่แล้ว
In this video, we review how to use the graphical method to solve bending problems. This method makes it possible to graphically infer the shear and moment diagrams for beams subjected to external distributed loads, shear forces, and moments.
Introduction to Machine Learning for Materials Science And Engineering
มุมมอง 13K2 ปีที่แล้ว
Short-course to introduce key aspects of machine learning (ML) and artificial intelligence (AI) to materials science and engineering. Topics covered include: - How to discover new materials - Definition of machine learning and artificial intelligence - Introduction to supervised and unsupervised machine learning - Introduction to clustering, regression, and classification - Introduction to arti...
Solving deflection problems (UCLA CEE 108 - Mechanics of Deformable Materials)
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In this video, we review how to calculate the deflection of a beam subjected to external shear forces, moments, or distributed loads. We use the integration method to derive the internal shear, internal moment, beam angle, and deflection.
How to use the methods of sections to calculate the internal load, shear, and moment
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This video is part of the "Mechanics of Deformable Solids" course offered at the University of California, Los Angeles (UCLA). In this lecture, we review how to use the method of section to determine the internal load, shear, and moment in a beam subjected to both concentrated and distributed loads.
Toughness of glasses
มุมมอง 7123 ปีที่แล้ว
This video is part of the "Structure and Properties of Glasses" course offered at the University of California, Los Angeles (UCLA). In this lecture, we discuss the origin of glass fracture toughness and fracture energy, and how they depend on composition and atomic structure.
Hardness of glasses
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This video is part of the "Structure and Properties of Glasses" course offered at the University of California, Los Angeles (UCLA). In this lecture, we discuss the origin of glass hardness and how it depends on composition and atomic structure.
Elasticity of glasses
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Elasticity of glasses
Topological constraint of glass: Application
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Topological constraint of glass: Application
Chalcogenide glasses
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Chalcogenide glasses
Topological constraint of glass: Determining glass rigidity
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Topological constraint of glass: Determining glass rigidity
Topological constraint of glass: Mechanical stability
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Topological constraint of glass: Mechanical stability
Zachariasen's rules for the glass formation: Application
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Zachariasen's rules for the glass formation: Application
Zachariasen's rules for the glass-forming ability of oxides
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Zachariasen's rules for the glass-forming ability of oxides
Pair distribution function of glasses
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Pair distribution function of glasses
The Age of Glass
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The Age of Glass
Natural glasses
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Natural glasses
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Presentation of the ConcreteAI platform
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ConcreteAI: Reduce concrete cost and carbon footprint
ConcreteAI: Reduce concrete cost and carbon footprint
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Demo of the ConcreteAI platform
Neighbor list algorithm in molecular dynamics simulations
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Neighbor list algorithm in molecular dynamics simulations
Interatomic energy in molecular dynamics simulations
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ความคิดเห็น

  • @raghubeersinghbangari7455
    @raghubeersinghbangari7455 6 วันที่ผ่านมา

    Sir, I like to do some research collaboration.

  • @amalinasabri1850
    @amalinasabri1850 14 วันที่ผ่านมา

    The best explanation I could get for understanding what's happening during the molecular dynamics simulations

  • @peterlauridsen8403
    @peterlauridsen8403 25 วันที่ผ่านมา

    Love it - thank you very much

  • @jessesonnenschein5665
    @jessesonnenschein5665 หลายเดือนก่อน

    This talk is simply brilliant, you have saved my life, thank you 🍀

  • @sajidkhan-th4mr
    @sajidkhan-th4mr หลายเดือนก่อน

    Very great

  • @IisSopyan-l4b
    @IisSopyan-l4b หลายเดือนก่อน

    The way you presented really helped solidify my understanding of materials informatics, especially how you explained testing model accuracy. Thank you, Prof!

  • @azka7929
    @azka7929 2 หลายเดือนก่อน

    amazing lecture!

  • @paingsoekhant8731
    @paingsoekhant8731 2 หลายเดือนก่อน

    Very well explain

  • @RealLifeTop10s
    @RealLifeTop10s 2 หลายเดือนก่อน

    thank you

  • @FRANKTORRES-xc1lp
    @FRANKTORRES-xc1lp 3 หลายเดือนก่อน

    Write better

  • @eduardogil1380
    @eduardogil1380 3 หลายเดือนก่อน

    Excellent video. Everything you need to get the ball rolling with NNs in Matlab. Would be ideal to see the backpropagation algorithm in motion ("train" function) - but that's a matlab issue - a bit of a black box, you cant really see what their built-in functions are doing.

  • @rezamoosavi71
    @rezamoosavi71 3 หลายเดือนก่อน

    great explanation! God bless you, Mat!

  • @TigounetKing
    @TigounetKing 3 หลายเดือนก่อน

    Impressive that Prairie Material reduced their GWP by 20%! AI is a cool tool, good job!

  • @Moiz-ss9je
    @Moiz-ss9je 3 หลายเดือนก่อน

    Hi there! I wanted to simulate borosilicate glass with uranium and plutonium inside it to see behaviour of uranium and plutonium on LAMMPS software for my project nuclear waste management ....i'm beginner on LAMMPS can you please help me? please reply as soon as possible.....

    • @Moiz-ss9je
      @Moiz-ss9je 3 หลายเดือนก่อน

      any material if you want to share with me like script and any other...

  • @kaiyuanzheng9897
    @kaiyuanzheng9897 3 หลายเดือนก่อน

    The best instruction on ANN using Matlab, it really help with my research

  • @queenf.o.b9736
    @queenf.o.b9736 3 หลายเดือนก่อน

    I just finished watching this short course. Indeed, this is a start to finish of the machine learning concept. "Introduction" is an understatement. Thank you very much Dr. This is indeed helpful. I still wonder why it has only 11k views since 2 years ago. This is a revelation!!

  • @minkuarora4939
    @minkuarora4939 3 หลายเดือนก่อน

    Thanks a lot professor for making this video. A very insightful video and presented in a systematic manner.

  • @lauraabbott2611
    @lauraabbott2611 4 หลายเดือนก่อน

    Thank you for this amazing video! It was the clearest instructions for a newbie on how to work with a grid engine on Terminal. Your video saved me hours of trial and error and reading user manuals that aren't intuitive. Much appreciated, even 6 years later.

  • @AbidAli-wp2fs
    @AbidAli-wp2fs 5 หลายเดือนก่อน

    I will appreciate if you can perform optimization to get the optimal number of hidden layers as you did for neurons.

  • @dr.mahanteshm.nadakatti3472
    @dr.mahanteshm.nadakatti3472 5 หลายเดือนก่อน

    Excellent explanation indeed!. Each step clearly explained. I'm a novice in the field of AI & ML. I could develop similar model using this explanation, without tampering much with either the name of the column headers or with the number of columns. However, after successfully developing the model, I got this question as to why the readily available ANN app in MATLAB was not used for developing the model or solve it. Can anyone clear my doubt please?

  • @pierre5821
    @pierre5821 5 หลายเดือนก่อน

    Hi, thanks, great video, where could we find the initial data ?

  • @devanshverma6189
    @devanshverma6189 5 หลายเดือนก่อน

    Can someone please share this code file in csv,txt,or matlab format anytype of file format would be great help for understanding the concept .

  • @said-v5m
    @said-v5m 5 หลายเดือนก่อน

    Thank you for this amazing information I am planning to do my certificate in machine learning for materials science and engineering but I found a lots can you please let us know which university provide very good certificate program Note: I already have my master degree in materials Engineering back home before moving to USA

  • @AbidAli-wp2fs
    @AbidAli-wp2fs 6 หลายเดือนก่อน

    I can sit and listen to you for ages 🤗

  • @AbidAli-wp2fs
    @AbidAli-wp2fs 6 หลายเดือนก่อน

    I can’t thank you enough for this wonderful masterpiece. I was developing an ANN for engine net brake torque estimation ( this info is required for Transmission Control unit) for gear shift quality. I learned from the best 🙇‍♂️ ❤

  • @jiangxu3895
    @jiangxu3895 6 หลายเดือนก่อน

    This introduction is concise and clear!!! Thumb up !!!

  • @dr.ashwindesaibm7711
    @dr.ashwindesaibm7711 6 หลายเดือนก่อน

    wonderful

  • @SalahEL33
    @SalahEL33 7 หลายเดือนก่อน

    Merci beaucoup cher Mathieu! You're the best keep it up bro

  • @MUHAMMADASADASHFAQ-z4u
    @MUHAMMADASADASHFAQ-z4u 7 หลายเดือนก่อน

    im getting the lost atoms error. can you help please?

  • @vittoriociardiello9945
    @vittoriociardiello9945 7 หลายเดือนก่อน

    How can I impose an external field?

  • @zainabbutt7863
    @zainabbutt7863 7 หลายเดือนก่อน

    Hi, instead of 0 and 1, the classes were colours e,g red and purple how will that change the code?

  • @jonathankabasele985
    @jonathankabasele985 8 หลายเดือนก่อน

    merci matthieu, tu merite une biere

  • @lefacteurchance
    @lefacteurchance 8 หลายเดือนก่อน

    Thank you for the video, it would have been also interesting to explain how using bins and sorting the atoms according to those enables lower computational costs.

  • @anuragkashyap6247
    @anuragkashyap6247 8 หลายเดือนก่อน

    Sir, searching for such kind of start and you are insanely great.

  • @cmlnm
    @cmlnm 8 หลายเดือนก่อน

    Thank you very much for the course, which is very informative for me as a beginner.

  • @kelixoderamirez
    @kelixoderamirez 8 หลายเดือนก่อน

    permission to learn sir. thank you

  • @ajax6262
    @ajax6262 9 หลายเดือนก่อน

    I need immediate help, i got stucked in the part of optimizing the neural network 56:00. It told me that the size in the left and right have different number of elements. To give a headstart, I have 3 outputs. What should i edit in the upper part of codes for it to work? The video only explained a one output model but mine's 3

  • @lorenzomason3345
    @lorenzomason3345 9 หลายเดือนก่อน

    Man i really want to thank you for your precious job. No video out there about feedforward regression problem with fitnet, good job

  • @lorenzomason3345
    @lorenzomason3345 9 หลายเดือนก่อน

    1:18:01 summarize

  • @8848nepalyt
    @8848nepalyt 9 หลายเดือนก่อน

    I finished watching all in two days. It was really nice. Especially introducing the concept of using the model in materials taking example of glass was the most important aspect of this video. Overall a nice and clear explanation. Thank you so much Dr. Mathieu. I wanted to know how far you have gone in using machine learning and AI in materials science. I set up my ultimate goal in addressing materials science using machine learning and AI. I am a physics graduate. I hope to learn more from you. Thank you.

  • @RobinHood-zy5cl
    @RobinHood-zy5cl 9 หลายเดือนก่อน

    Insanely good !!!

  • @qqn4531
    @qqn4531 10 หลายเดือนก่อน

    La France représente !

  • @muxiyodiinyuusufbarremacha4078
    @muxiyodiinyuusufbarremacha4078 10 หลายเดือนก่อน

    Thanks How to get reading 📖 materials.

  • @ZHAOST-d2f
    @ZHAOST-d2f 10 หลายเดือนก่อน

    Thank you, Prof. Is it convenient for you to share the training and testing data used in this example?

  • @Maddy-the-car-boy
    @Maddy-the-car-boy 10 หลายเดือนก่อน

    Speak louder

  • @chidozienwanedo9234
    @chidozienwanedo9234 10 หลายเดือนก่อน

    Thanks for this explanation. really helped

  • @mohdata100
    @mohdata100 10 หลายเดือนก่อน

    Thanks for the videos. Sir, would love to read more papers from your group. Kindly share your profile information ( any sources that contain all your papers) as i do not have access to all the papers. Thanks in advance

  • @loganvarro7660
    @loganvarro7660 11 หลายเดือนก่อน

    i'm sorry but your handwriting is awful

  • @jackkoscinski4228
    @jackkoscinski4228 11 หลายเดือนก่อน

    Is the m-file script and data file available to download?

  • @asifhasan359
    @asifhasan359 11 หลายเดือนก่อน

    First of all thank you very much for this video. It really helps me alot. Could you please clear my one doubt? like how should i change the activation function to ReLu in MATLAB.