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Abhinendra Singh

@asingh-case.bsky.social

Soft Matter Physicist. Enthusiastic about numerical simulations. Interested amorphous materials, rheology, complex fluids, simulations, dad. he/him

67 Followers  |  100 Following  |  10 Posts  |  Joined: 20.04.2025  |  1.6037

Latest posts by asingh-case.bsky.social on Bluesky

Yay! It's a hat-trick! Student papers in May, June, and July! In May, our first ML paper was led by Armin Aminimajd; in June, the paper was led by Alessandro d'Amico; and in July, 2nd paper by Armin. Detailed posts coming soon after submitting proposals :) Exciting times ahead :) #softmatter

12.07.2025 17:12 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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How Bees, Beer Cans and Data Solve the Same Packing Problem (Gift Article) Trying to fit it all in? There’s a trick to it, even in 24 dimensions.

Dear #mathsky, if you repost this, it will let people see the article for free. Thanks!

www.nytimes.com/interactive/...

23.06.2025 10:53 β€” πŸ‘ 86    πŸ” 66    πŸ’¬ 1    πŸ“Œ 3

Such an amazing story of an excellent researcher in a wonderful lab.. Congrats :)

24.06.2025 15:14 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thanks, Karen! I would love to chat more!

21.06.2025 13:45 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thanks so much, Ryan! Appreciate the shoutout! :)

20.06.2025 15:01 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

This is massive, and we are excited to go beyond just the contact network. Our dream is to predict the flow of suspension based on a snapshot. Stay tuned for more updates! Feel free to reach out to us if you'd like to chat.

20.06.2025 15:01 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

With lots of hard work (2 years), Armin came up with the brilliant framework of deepGNN, inspired by work from Rituparno Mandal, showing that if we know the initial condition (or particle position) and train the model on low viscosity states, we can predict FCN in high viscosity states.

20.06.2025 15:01 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

My question to Armin was: Experiments capturing the network are hard (massive respect to experimentalists), simulations are nice (but cumbersome close to jamming). Can we use ML? Can we train a machine on faster simulations and predict conditions close to jamming?

20.06.2025 15:01 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Wondrous works by @lilianhsiao.bsky.social, by Safa Jamali, @emanueladelgado.bsky.social in dense suspensions, and by @karenedaniels.bsky.social in dry granular materials have shown that my crucial contact network is to predict the response of dense amorphous materials, which was our motivation

20.06.2025 15:01 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Pumped for the first student work published and featured on the cover of @softmatter.rsc.org. We utilize a deepGNN framework to predict the frictional contact network in dense suspensions -- the first work on the machine learning approach. A tutorial below Link pubs.rsc.org/en/content/a...

20.06.2025 15:01 β€” πŸ‘ 8    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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Meet 3 APIDAA members of the CWRU community Asian, Pacific Islander, Desi and Asian American (APIDAA) students, staff and faculty are integral to the Case Western Reserve University communityβ€”bringing diverse perspectives, leading cultural orga...

Excited to make my first post on BluSky about Diwali - a celebration of love, hope, joy, and happiness. I owe my parents for who I am today. A little more appreciation and kindness can go a long way in making the world a brighter, happier, and more joyful place.
thedaily.case.edu/meet-3-apida...

29.05.2025 20:06 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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