Stefano Martiniani
@stemartiniani.bsky.social
Asst. Professor of Physics, Chemistry, Mathematics, Neural Science at NYU | Simons Foundation Faculty Fellow | Open Science http://colabfit.org
martinianilab.org
martinianilab.org
Pinned
Reposted by Stefano Martiniani
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
⚛️🧪
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
⚛️🧪
November 7, 2025 at 4:08 PM
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
⚛️🧪
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...
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
October 31, 2025 at 2:10 PM
The transformative capability of quantum-accurate machine learning interatomic potentials
Kim Review Commentary by Alfredo A. Correa; Sebastien Hamel
kimreview.org/commentaries...
Kim Review Commentary by Alfredo A. Correa; Sebastien Hamel
kimreview.org/commentaries...
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
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...
www.arxiv.org
September 24, 2025 at 1:31 PM
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
www.arxiv.org/abs/2509.12178
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...
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
www.nyu.edu
September 9, 2025 at 4:24 PM
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...
www.nyu.edu/about/news-p...
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
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
June 18, 2025 at 3:40 AM
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
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
Reposted by Stefano Martiniani
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...
www.biorxiv.org
June 3, 2025 at 11:56 AM
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...
🚀 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
June 2, 2025 at 3:05 AM
🚀 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
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)
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)
May 31, 2025 at 3:48 AM
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)
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...
www.biorxiv.org
May 22, 2025 at 2:27 AM
🚀 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...
🚀 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!
🔬 OMatG unifies flow matching & score-based diffusion, outperforming FlowMM and FlowLLM!
May 7, 2025 at 2:13 AM
Reposted by Stefano Martiniani
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...
web.sas.upenn.edu/da...
March 21, 2025 at 5:25 PM
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...
web.sas.upenn.edu/da...
Reposted by Stefano Martiniani
From 2010 to 2016 (latest data I have ), NIH research contributed to EVERY drug approved by the FDA
March 22, 2025 at 10:44 AM
From 2010 to 2016 (latest data I have ), NIH research contributed to EVERY drug approved by the FDA
Reposted by Stefano Martiniani
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 :)
March 20, 2025 at 8:40 PM
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 :)
Reposted by Stefano Martiniani
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
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
March 3, 2025 at 4:49 PM
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
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
Reposted by Stefano Martiniani
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!
Great work by @stemartiniani.bsky.social and team to curate the most diverse materials database in the world!
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...
February 13, 2025 at 1:53 PM
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!
Great work by @stemartiniani.bsky.social and team to curate the most diverse materials database in the world!
Instagram post of the Cultural Office of the Consulate General of Spain in New York🗽🌃
Help us spread the word! 🌐✨
Help us spread the word! 🌐✨
January 6, 2025 at 11:05 PM
Instagram post of the Cultural Office of the Consulate General of Spain in New York🗽🌃
Help us spread the word! 🌐✨
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! 🌐✨
¡Ayúdanos a correr la voz! 🌐✨
January 6, 2025 at 11:05 PM
Publicación de Instagram de la Oficina Cultural del Consulado General de España en Nueva York 🗽🌃
¡Ayúdanos a correr la voz! 🌐✨
¡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! 🌐✨
📅 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! 🌐✨
January 6, 2025 at 10:15 PM
📢 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! 🌐✨
📅 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! 🌐✨
📅 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! 🌐✨
January 6, 2025 at 10:14 PM
📢 ¡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! 🌐✨
📅 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...
Summer Undergraduate Research Program
wp.nyu.edu
January 2, 2025 at 11:31 PM
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/...
as.nyu.edu/departments/...
Stefano Martiniani Receives an NSF CAREER Award
as.nyu.edu
December 21, 2024 at 1:22 PM
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/...
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.
December 20, 2024 at 8:28 PM
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...
December 14, 2024 at 2:34 PM
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...