You are great explaining in detail and understanding. Already subscribed and I forward this video to my daughter just starting python. This is a big help.

You can use magnesium instead of calcium with a pinch of calcium or magnesium chloride or a small crystal of iodine to start the reaction process. It allows the excess reducing agent to be boiled off. The process can also be used for making high purity lanthanides as well. ❤

That is an amazing package. Especially after learning a bit about Bayesian optimization and thoroughly reading the Ax documentation, it really helps you overcome that learning stage where you think you understand the concepts, but it’s still challenging to start implementing them on your own. Thank you for your work, Taylor, Sterling, Andrew, and others. Gracias, amigos!

Awersome Video, watched a couple of videos on CCT and TTT diagrams and this is byfar the best . Thanks Taylor

So cool! I am also working on something like this.

Thank you so much Prof.

Taylor, please, explain why for G all of it didnot turn to pearlite?

Shoutout to the goat himself keepin all of us material engineers on our feet with these fire videos🔥 Especial thanks from Iran, IUST❤

Thanks Prof Sparks...these concepts I wanna learn today...and fortunately you uploaded...thanks allot..... Waiting for concepts on point group and space group and conversion.

Thanks for explaining really helped

Hi. I'm an undergraduate student.materialism podcast helps me a lot. Thank you

Great intro

Hey, good presentation, may you suggest me how to make tilt Coincidence site lattice grain boundary for monoclinic structure using VESTA(or any other way)?

Why some oxygen have cn = 2

Thanks a lot. Very useful video so I'm already subscribed

can we get these notes?

Wow, extremely cool.

It's so counter-intuitive that you have two choices for an optimal packing

That is what I was looking for, thanks so much!!

Just the perfect video. Straight and to the point. Thank you

I cannot thank you and Sterling for not only doing the amazing stuff that you guys do but also in sharing it with others. Ax and Honegumi have helped me so much in starting with Bayesian optimization. Thanks a lot once again. ❤

i don’t know if you’ll ever see this but i got an exam in a few days and i didn’t get the point where u said at 5:28 g is 50% bainite and martensite. why isn’t it a 100% perlite instead? the reaction is over. it passed the 3rd curve. i didn’t get it.

An excellent video. Thank you so much professor! 😀May I ask that if I want to optimise two or more properties together (e.g., strength and ductility), would it be better if I use a Multi-task Gaussian Process (MTGP) model, rather than several individual GP models? Because the trade-off between these properties can be learned by the MTGP model? By the way, may I check that can the iteration of the bayesian optimisation process also be termed as Active Learning, if I am not wrong? Many thanks for your attention. 🙏

EDX is cool at times, but you know what isn't cool? Matrix effects with EDX, particularly with Pb. I am banging my head searching for papers that show how to perform this using EDX software. Even with obtaining values from ICP and then using those as data to generate calibration curves using EDX is not so simple and doesn't work sometimes. User beware, EDX is ideal for high purity metals, but for samples with a complex matrix, WDS is better, or better yet ICP.

24.25 hours.Leap years are real. What text book are you using?

Thank you professor 🙏. If we knew the objective function ( for example mean squared error equation) would it be logical to make use of bayesian optimization to find the minumum of that objective function which is computed for aimed optimized parameters in a given domain?

Recently started my Master's in Materials Science and Engineering and if it was not for these videos I probably would not have passed my exams.... Your teaching skills, knowledge and passion convey the topics perfectly! I am sure I will be back

How do we calculate the Madelung constant for CsCl??

Hi there! I enjoyed the episode a lot! Would it be possible to share the paper that pointed out only high-Mn HEAs really exhibit sluggish diffusion? Would love to read more about it! Ps. Would it be possible to explore TRIP and TWIP mechanisms for alloys in future episodes?

I thought if Q is less than K you know the reactions proceed forward?

Keep going bravo

Not sure if you've already found this arxiv preprint of an IEEE-published paper on LLM knowledge graph population yet: arXiv:2306.08302 It's about the field of using models to generate knowledge graphs from literature, and using these knowledge graphs as a knowledgebase to feed to a model trouble is that the models are constructed to replicate patterns, and it can easily make stuff that resembles meaningful literature but doesn't contain correct information. I would make sure to go over the output with a finetooth comb to make sure the values actually match the source material, outside of the obvious outliers where it's creating entirely irrelevant structured data - like what component metals go into a material, crystal structure, or similar.

I paused in the middle of the video to subscribe 👌

Can you please make a tutorial for new updated material project API and building various machine learning models?

Such a great video. Thanks a lot :) i am working on this so this helps a lot

Great job explains this!

What I need right now. Please Sensei, is formation energy per atom here related to enthalpy of formation? What is the significance actually?

Yessr

Thank you for this video professor. The problem I feel about such programming is that it is difficult to make the program understand science rather than just learning patterns from a large data.

Very useful video. Please teach how to refine materials with partial occupancy and how to apply constraints on it

this is the greatest explanation of this I've ever gotten

how do we read SN curves after getting hot spot stress

Hi professor, would you please talk on XAS, XPS!

can you do a playlist for all the phase diagram videos

Greetings and courtesy and respect Please advise where is the metallurgy database in materials? Data such as strain rate, analysis, air humidity, etc

Could you cover dual phase metals next

would be cool to have such a breakdown in terms of plastic recyclates and their possible morphologies

I've been struggling to learn Python. I attended your seminar at the Texas A&M material science summer workshop in 2023 and found your videos! They've been a real life-saver! Thank you so much.