Ben Moseley (@benm_oseley) 's Twitter Profile
Ben Moseley

@benm_oseley

Lecturer at Imperial College London | Scientific Machine Learning

ID: 1421156281289781249

linkhttps://benmoseley.blog/ calendar_today30-07-2021 17:11:39

28 Tweet

802 Followers

71 Following

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

I will be presenting our latest research on finite basis physics-informed neural networks as a poster at The Symbiosis of Deep Learning and Differential Equations workshop at NeurIPS tomorrow: come along to find out more! dl-de.github.io arxiv.org/abs/2107.07871

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Excited to announce that I am interning in NVIDIA's Modulus team. Modulus is a scientific machine learning framework which blends together neural networks with PDEs, allowing more robust models to be built for scientific analysis: developer.nvidia.com/modulus

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Interested in investigating how elephants use ground vibrations to communicate? + collecting data in Kenya? The Animal Vibration Lab at the University of Oxford (a group I have collaborated with) has an open postdoctoral position! tinyurl.com/5xucd5fe

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Very excited to announce that our entire ETH Zürich Deep Learning in Scientific Computing Master's course is now on YouTube! 📖 Prof. Siddhartha Mishra and I will talk you through PINNs, neural operators, neural ODEs, differentiable physics and more youtube.com/watch?v=y6wHpR…

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Just released a major new update to our FBPINNs library, which now uses JAX. Solve forward and inverse problems related to PDEs using PINNs + domain decomposition, and scale to 1000s+ subdomains! #jax #pinns #PDEs github.com/benmoseley/FBP…

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

I will be giving a guest lecture for the Physical Society of Zürich tonight 7.30pm on "How to incorporate physical understanding into machine learning" - admission is free and the talk will be recorded afterwards! pgz.ch/events/ws2324/…

ETH AI Center (@eth_ai_center) 's Twitter Profile Photo

🚀 Exciting news! Applications for ETH AI Center PhD and Post-Doc Fellowships are now OPEN! 🤩 Apply by Nov 22, 2023, and dive into the world of #AI, #MachineLearning, #DataScience, and more. Details at: ai.ethz.ch/apply #PhD #PostDoc #AIresearch #ETHZ

🚀 Exciting news! Applications for ETH AI Center PhD and Post-Doc Fellowships are now OPEN! 🤩 

Apply by Nov 22, 2023, and dive into the world of #AI, #MachineLearning, #DataScience, and more. 

Details at: ai.ethz.ch/apply 

#PhD #PostDoc #AIresearch #ETHZ
Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Can we carry out multi-scale simulation with physics-informed neural networks (PINNs)? PINNs often struggle to solve multi-scale problems, and in our new paper we take steps to overcome this by combining them with multiple levels of domain decompositions: doi.org/10.1016/j.cma.…

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

We just released our ETH Zürich AI in the Sciences and Engineering Master’s course on YouTube! 📚 Prof. Siddhartha Mishra and I explain PINNs, neural operators, foundation models, neural PDEs, diffusion models, symbolic regression, and more! #AI4Science youtube.com/watch?v=LkKvhv…

Jim Fan (@drjimfan) 's Twitter Profile Photo

This may be the most important figure in LLM research since the OG Chinchilla scaling law in 2022. The key insight is 2 curves working in tandem. Not one. People have been predicting a stagnation in LLM capability by extrapolating the training scaling law, yet they didn't

This may be the most important figure in LLM research since the OG Chinchilla scaling law in 2022. The key insight is 2 curves working in tandem. Not one. 

People have been predicting a stagnation in LLM capability by extrapolating the training scaling law, yet they didn't
Ben Moseley (@benm_oseley) 's Twitter Profile Photo

🚀 Excited to share that I’m joining @ImperialCollege in Nov as a Lecturer, leading the Scalable SciML Lab in Imperial Earth Science & Engineering! I’m also honoured to be a Schmidt AI in Science Fellow at I-X. I'm hiring PhD students! benmoseley.blog 🌍✨

Patrick Kidger (@patrickkidger) 's Twitter Profile Photo

💫Fellow scientific computing geeks, here is an example of adaptive mesh refinement in #JAX: gist.github.com/patrick-kidger… I recently heard a claim that this was impossible in JAX due to its lack of dynamic shapes, and decided to prove the naysayers wrong 😄

💫Fellow scientific computing geeks, here is an example of adaptive mesh refinement in #JAX:

gist.github.com/patrick-kidger…

I recently heard a claim that this was impossible in JAX due to its lack of dynamic shapes, and decided to prove the naysayers wrong 😄
Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Having recently joined the department, I can say I have felt very supported and inspired starting my lab here, and it would be great to work alongside more experts in these areas! Imperial Earth Science & Engineering

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

New paper: accurately modelling multiphase fluid flow in fractured porous media using physics-informed neural networks, validated using real CT-scan data doi.org/10.1016/j.cma.…. Work led by Jassem Abbasi and others - it was a pleasure to collaborate!

New paper: accurately modelling multiphase fluid flow in fractured porous media using physics-informed neural networks, validated using real CT-scan data
doi.org/10.1016/j.cma.…. Work led by Jassem Abbasi and others - it was a pleasure to collaborate!
Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Faster population balance equation (PBE) simulations with JAX! PBEs model crystallization, chemical reactors & biological systems - but traditional solvers are too slow. Our new JAX solver accelerates computation & enables AI-driven physics discovery. pubs.acs.org/doi/10.1021/ac…

Faster population balance equation (PBE) simulations with JAX!
PBEs model crystallization, chemical reactors & biological systems - but traditional solvers are too slow. Our new JAX solver accelerates computation & enables AI-driven physics discovery. pubs.acs.org/doi/10.1021/ac…
Ben Moseley (@benm_oseley) 's Twitter Profile Photo

I will be giving a mini-course on efficient physics-informed neural networks at the CWI Scientific Machine Learning and Numerical Methods Autumn School in October in the Netherlands - open to everyone, more info here: cwi.nl/en/events/cwi-…

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

We’re hiring PhD students! Several PhD opportunities are available in our Scalable Scientific Machine Learning Lab at Imperial College London which are eligible for Imperial scholarships. Full details here: scalable-sciml-lab.org/work-with-us/#…

Ben Moseley (@benm_oseley) 's Twitter Profile Photo

Can PINNs model shocks & discontinuities in PDE solutions? We reviewed and benchmarked physics-based (viscosity, weak forms), loss-based (adaptive residuals), and architectural (domain decomposition, Fourier) methods. Paper: authors.elsevier.com/c/1lp-Z3INukWA…

Can PINNs model shocks & discontinuities in PDE solutions? We reviewed and benchmarked physics-based (viscosity, weak forms), loss-based (adaptive residuals), and architectural (domain decomposition, Fourier) methods. Paper: authors.elsevier.com/c/1lp-Z3INukWA…