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I don't want to be harsh, I admire and want to recognize the creative designer. I enjoy guiding people through unfamiliar things which I have experimented with
by fuzzfactor 7y ago
I don't want to be harsh, I admire and want to recognize the creative designer.
I enjoy guiding people through unfamiliar things which I have experimented with, it's good to see the diverse ways to grasp the same fundamental concept. Some students are quicker than some degreed engineers.
You seem like a person that could make an outstanding collaborator, building systems unique to the direction of the project.
I'm glad you put your website here, I'll pick up the phone and give your company a call, there's not a more promising, businesslike way.
I like instruments also, and have more than one.
Testing pays the bills, see the message for the acetone user.
When retired it might be good to build some robotic type stuff, maybe in a capitalist venture to overcome financial limitations.
Or looks like things would be fine without any equipment, helping companies negotiate the byzantine ASTM process alone instead, just been invited to join the emerging cannabis committee as an independent voting member.
That's only about testing, but extraction operators might best benefit from more supercritical ability on their side, you could surely consider this yourself now since it's very uncommon to have experience safely handling this type equipment, especially as a researcher on an experimental basis. Haven't done EOR in years and this time it could be CBD oil.
Anyway, presenting some findings on heavy petroleum oils to my traditional ASTM committee shortly, they want to get it into the book as soon as possible because it could save operators millions across the board.
Started to meet with some AI people just over a month ago too, inviting them to the lab to see firsthand (& smell) the kinds of crude oil they have been modeling about, some engineers for the first time.
- neltnerb 7y agoYeah, I have the deepest respect for the people who do a lot of AI. I took Ng's online course and know that I don't know a ton but I'm more a "learn the basics, read papers after that" kind of person so I just started trying to replicate papers after that a bit. Now my problem is mostly that I just don't have the energy to scour the research journals and books to put together datasets worth training with (for heterogeneous catalyst performance). Same as everyone I guess. The algorithms don't seem that bad, albeit obviously I want to run it past some friends that do it before claiming anything since I know I'll do it badly and just not know, so maybe in a perfect world it's just a matter of needing more data. I honestly think it will work because I with a human brain can look at trends in catalyst manufacturing methods and composition and guess at least reasonably locally what changes will do. The parameter space is just too big between atomic composition, preparation methods, support acidity, surface area, etc etc etc. I think honestly a computer could do it because it feels like a problem of fitting the data in my head enough to model it beyond super locally. But every time I try to improve a catalyst I succeed, which I think says more about how poorly optimized we are today than it says about my cleverness -- literally almost any random change is likely one that is a variable no one has tried yet. It's an awesomely open feeling field, and more exciting now that biomolecules are getting thrown into the mix from fermentation facilities.