Excited to share our latest work with Guanming Zhang and @stemartiniani.bsky.social in @natcomms.nature.com, where we uncover universal long-range structure in three distinct noisy particle systems spanning soft matter and machine learning. www.nature.com/articles/s41...

Emergent universal long-range structure in random-organizing systems - Nature Communications

Noise is usually associated with disorder, but it can also generate large-scale order. Here, the authors show that three distinct systems, spanning soft matter and stochastic optimization, self-organi...

nature.com

📢Andreas Luttens discuss the work by @stemartiniani.bsky.social and colleagues on a flow-matching method for property-guided molecule generation. www.nature.com/articles/s43... #chemsky 🔓 rdcu.be/e7BAy

Guiding molecular design with flow models - Nature Computational Science

The PropMolFlow model uses flow matching to efficiently generate chemically valid molecules in three dimensions with targeted properties, enabling accelerated discovery of molecules useful in material...

nature.com

What if a world model could imagine the future from a completely different perspective? Introducing XVWM: given one view and an action, predict the future from another camera. A building block for theory of mind. Collaboration with aimlabs.com 📄 arxiv.org/abs/2602.07277

📢Out now! @stemartiniani.bsky.social and colleagues present PropMolFlow, a flow-matching method for property-guided molecule generation. #MoleculeDiscovery #FlowMatching www.nature.com/articles/s43... #chemsky 🔓 rdcu.be/eZ5cG

PropMolFlow: property-guided molecule generation with geometry-complete flow matching - Nature Computational Science

PropMolFlow is a flow-matching method for property-guided molecule generation that matches diffusion model performance while generating stable, valid structures more quickly and enabling the discovery...

nature.com

New preprint! So, say you're studying some critical transition. How do you catch its universality? Pair correlations? Boring! We threw line segments at the system, looked at intersections with clusters, and uncovered static and dynamical universal behavior of MIPS! arxiv.org/abs/2511.09444

a close up of a person 's hand holding a marker that says sharpie

Alt: a close up of a person's hand holding a marker that says sharpie

media.tenor.com

New paper just out, as an editor's suggestion in PRL! While looking for the ideal isotropic bandgap material, we actually discovered new structures. These structures lie at the border between order and disorder, and that's good for optics! More about their structure here, tinyurl.com/3aej53ht ⚛️🧪

The transformative capability of quantum-accurate machine learning interatomic potentials Kim Review Commentary by Alfredo A. Correa; Sebastien Hamel kimreview.org/commentaries...

The transformative capability of quantum-accurate machine learning interatomic potentials

Commentary: Many materials' properties and phase boundaries are generally not well known under extreme pressure and temperature conditions. This is a consequence of the scarcity of experimental inform...

kimreview.org

If everyone does it, it must be right…right? Not quite. In “All That Structure Matches Does Not Glitter” #NeurIPS2025 we show CSP benchmarks miss polymorphs and datasets are duplicated. New deduped data, polymorph-aware splits, METRe & cRMSE. Harder tasks, better models! www.arxiv.org/abs/2509.12178

All that structure matches does not glitter

Generative models for materials, especially inorganic crystals, hold potential to transform the theoretical prediction of novel compounds and structures. Advancement in this field depends critically o...

arxiv.org

Check out our latest paper in collaboration with Mathias Casiulis, Naomi Oppenheimer, and Matan Ben Zion on a simple geometric design rule to achieve robotic swarm intelligence. The paper is out today in the Proceedings of the National Academy of Sciences (PNAS). www.nyu.edu/about/news-p...

Scientists Find Curvy Answer to Harnessing “Swarm Intelligence”

Breakthrough offers way to develop AI to match flocking birds and schooling fish

nyu.edu

Contrastive Self-Supervised Learning is Just Sphere Packing! CLAMP (Contrastive Learning As Manifold Packing) recasts SSL as neural manifold packing with a physics-inspired repulsive-particle loss (like in jamming) and achieves new SOTA on ImageNet-100. arxiv.org/abs/2506.13717

www.linkedin.com/posts/smarti...

🔬 Here comes the lab’s first neurobiology paper, made possible by the… | Stefano Martiniani

🔬 Here comes the lab’s first neurobiology paper, made possible by the amazing work of Dr. Jiyeon H., grad student Asit Pal, and collaborators, especially Andre Fenton (lead PI on the paper), Hans A. H...

linkedin.com

We show that memory persistence is encoded in gene expression manifolds, not single gene changes. Shadow memory proteins like PKMzeta & KIBRA leave no single-gene signature, but reshape network structure. New from our lab + Hofmann + Fenton lab: www.biorxiv.org/content/10.1...

Persistently increased expression of PKMζ and unbiased gene expression profiles identify hippocampal molecular traces of a long-term active place avoidance memory and ′shadow′ proteins

Long-term memory formation transiently activates Ca2+-calmodulin kinase IIα (CaMKII) and atypical protein kinase C isoform iota/lambda (PKC𝜄/λ), whereas persistent activation of the other atypical PKC...

biorxiv.org

🚀 Satyam and Guanming’s “Emergent Universal Long Range Structure in Random-Organizing Systems” shows noise correlations create long-range structure, from 🧩 hyperuniform materials to 🤖 ML, and that SGD’s flat minima bias is universal. 👇 arxiv.org/abs/2505.22933 #SoftMatter #ML

Emergent universal long-range structure in random-organizing systems

Self-organization through noisy interactions is ubiquitous across physics, mathematics, and machine learning, yet how long-range structure emerges from local noisy dynamics remains poorly understood. ...

arxiv.org

The Martiniani Lab Left to right: Dr. M. Casiulis, Dr. (as of today!) A. Shih , S Rawat, Dr. J. Han, Dr. K. McClain, E. House, Dr. G. Zhang, ..., Dr. P. Hoellmer, T. Egg, S. Anand, A. Pal, P. Suryadevara, G. Wolfe, Dr. M. Martirossyan, (Dr. F. Morone)

🚀 New paper on stabilizing recurrent neural circuits! Normalization keeps recurrent networks in check. When it fails: ⏳ critical slowing, 🎲 variability ➡️ 🌪️ oscillations➡️💥 instability. Important for understanding brain functions and building AI. www.biorxiv.org/content/10.1...

Stabilization of recurrent neural networks through divisive normalization

Stability is a fundamental requirement for both biological and engineered neural circuits, yet it is surprisingly difficult to guarantee in the presence of recurrent interactions. Standard linear dyna...

biorxiv.org

🚀 Thrilled to introduce Open Materials Generation (OMatG), a state of the art framework for generative design of inorganic crystalline materials! Accepted at #ICML2025 & Spotlight at #AI4Mat @ICLR2025! 🔬 OMatG unifies flow matching & score-based diffusion, outperforming FlowMM and FlowLLM!

as.nyu.edu/departments/...

On Tuesday, March 25, Stefano Martiniani will give an #AI for Science Seminar on “Learning as Manifold Packing” in room 414 AGH, hosted by the Data Driven Discovery Initiative (DDDI) and the Center for Innovation in Data Engineering and Science (IDEAS). Join us! web.sas.upenn.edu/da...

From 2010 to 2016 (latest data I have ), NIH research contributed to EVERY drug approved by the FDA

Do systems where the equations are known but cannot be solved in less than exponential time count? If so just take Schroedinger's equation for an interacting many-body system. Perfect description of the problem with no solution :)

CDS is hiring a Clinical Professor of Data Science. Teach ML, programming, and specialized courses in our 60 5th Ave building. Renewable contracts with promotion opportunities. Apply by April 1, 2025. For details, see: apply.interfolio.com/155349 #MachineLearning #ML #AIjobs

ColabFit Exchange is another great dataset curation effort that I'd like to boost. Great work by @stemartiniani.bsky.social and team to curate the most diverse materials database in the world!

Stefano Martiniani@stemartiniani.bsky.social · 2y ago

Join us for the #AI4Mat workshop at #NeurIPS2024 today and check out our spotlight on how we built the most diverse database for AI for materials in the world openreview.net/forum?id=b8q...

Instagram post of the Cultural Office of the Consulate General of Spain in New York🗽🌃 Help us spread the word! 🌐✨

Stefano Martiniani@stemartiniani.bsky.social · 2y ago

📢 We’re launching a lecture series in Spanish for the NYC community! 📅 January 31, 5:00 PM 🏛️ 370 Jay St, Brooklyn 👨‍🏫 Prof. Juan J. de Pablo 🌟 Title: Materiales del Futuro: La Revolución de la Inteligencia Artificial 📌 Register here: forms.gle/UPKzWpeQFCNS... Help us spread the word! 🌐✨

Publicación de Instagram de la Oficina Cultural del Consulado General de España en Nueva York 🗽🌃 ¡Ayúdanos a correr la voz! 🌐✨

Stefano Martiniani@stemartiniani.bsky.social · 2y ago

📢 ¡Lanzamos una serie de conferencias en español para la comunidad de NYC! 📅 31 de enero, 5:00 PM 🏛️ 370 Jay St, Brooklyn 👨‍🏫 Prof. Juan J. de Pablo 🌟 Título: Materiales del Futuro: La Revolución de la Inteligencia Artificial 📌 Regístrate: forms.gle/UPKzWpeQFCNS... ¡Ayúdanos a correr la voz! 🌐✨

📢 We’re launching a lecture series in Spanish for the NYC community! 📅 January 31, 5:00 PM 🏛️ 370 Jay St, Brooklyn 👨‍🏫 Prof. Juan J. de Pablo 🌟 Title: Materiales del Futuro: La Revolución de la Inteligencia Artificial 📌 Register here: forms.gle/UPKzWpeQFCNS... Help us spread the word! 🌐✨

📢 ¡Lanzamos una serie de conferencias en español para la comunidad de NYC! 📅 31 de enero, 5:00 PM 🏛️ 370 Jay St, Brooklyn 👨‍🏫 Prof. Juan J. de Pablo 🌟 Título: Materiales del Futuro: La Revolución de la Inteligencia Artificial 📌 Regístrate: forms.gle/UPKzWpeQFCNS... ¡Ayúdanos a correr la voz! 🌐✨

The application window for the Summer Undergraduate Research Program in Computational Physical Chemistry at NYU is now open. This is a a 10-week summer program with a stipend of $10,000. Open to all U.S. students who are not already at NYU. Details at wp.nyu.edu/sccpc/summer...

Thank you NSF! With this award we'll attempt to answer the question of how many stable materials could possibly exist. More generally, we'll quantify the number of possible outputs of a generative model in ML, and its link to the regularity of the output as.nyu.edu/departments/...

Congrats to @satyamanand.bsky.social for "Transport and energetics of bacterial rectification" now out in @pnas.org! We develop a description of bacterial rectification based on single-bacterium dynamics that illustrates the generic principles governing the energetics of this nonequilibrium process.

Join us for the #AI4Mat workshop at #NeurIPS2024 today and check out our spotlight on how we built the most diverse database for AI for materials in the world openreview.net/forum?id=b8q...