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Title: The Inevitable Structure of Vascular Networks Abstract: Vascular networks are one of nature’s remarkable solutions to the limitations of diffusion. These networks connect the organism into …

Margaret Gardel, Ph.D., University of Chicago Mechanical Information Processing in Adherent Cells My lab studies how the movement and shape of living cells is controlled by living …

Title: Learning World Models and Agents for High-Cost Environments Abstract: While neural networks have achieved superhuman performance in domains with low-cost simulations—from AlphaGo to LLMs …

… Together, these studies identify a ligandable TRPV2 pocket that tunes gating and provide an in situ framework to relate TRP channel pharmacology to native lysosomal membrane architecture …

Yuanzhao Zhang, Ph.D., Santa Fe Institute Physics-Uninformed Machine Learning How much can we learn about a dynamical system when models are unavailable and data is limited …

… she oversees all project decisions and company strategy and acts as an executive producer for Sandbox Films documentaries — including the Oscar-nominated film Fire of Love, the …

Title: AGN HBT OMG Abstract: I’ll discuss an old technique called intensity interferometry, pioneered by Hanbury Brown and Twiss (HBT) that allows us to achieve sub-microarcsecond …

… quantum metric of the band. The quantum metric is connected to the Berry curvature, which relates superconductivity to the topological properties of the band. Using this theory …

Nervous systems evolved some 600 million years ago and quickly diversified, while facing the same physical constraints of life on Earth and responding to the shared pressures of …

… the FeX4 tetrahedron and the EPC for the A1g phonon mode is maximized for the FeSe film. Our findings reveal a significant role of electronic correlations in …

Our world is full of surprises, and the same thing can be said of the world of mathematics. Surprises like the icosahedron, aperiodic tilings and the Mandelbrot set …

Title: Modeling Complex System Dynamics with Flow Matching Across Time and Conditions Abstract: Modeling the dynamics of complex real-world systems from temporal snapshot data is crucial for …

… Columbia, Leslie was awarded the Ruth L. Kirschstein National Research Service Award from the National Institute of Neurological Disorders and Stroke. In the broader scientific community, she …

Title: Putting compact objects where they don’t belong: Hawking stars, dark matter stars, Thorne–Żytkow objects, and quasi-stars Abstract: Compact objects are typically the remnants of …

Title: The Denario project: Deep knowledge AI agents for scientific discovery Abstract: Science advances by formulating and testing hypotheses, collecting and analyzing data, and drawing conclusions—yet much …

… Stability Theory of Flat Band Solitons in Nonlinear Wave Systems October 23, 2025 Emmanuel Fort | Freezing and Amplification of Water Waves in a Time-Varying Medium October …

The plant immune system comprises a large family of resistance genes, many of which harbor extensive polymorphism. The evolutionary dynamics of resistance loci vary, driven by an interplay …

… Foundation offices at 160 Fifth Avenue. Enter through the main lobby of 160 Fifth Avenue on the south side of 21st Street, just west of Fifth Avenue …

Title: Small-scale structure in cold dark matter: from ultra-faint dwarfs to prompt cusps Abstract: In our present paradigm of galaxy formation, the onset of structure is …

The Simons Foundation Autism Research Initiative (SFARI) is hosting a social lunch at the American Society of Human Genetics (ASHG) 2025 Annual Meeting focused on research, funding opportunities …

The Simons Foundation Autism Research Initiative (SFARI) hosted a social lunch at the American Society of Human Genetics (ASHG) 2025 Annual Meeting focused on research, funding opportunities and …

… Investigator and has been awarded the I. I. Rabi Prize and the George E. Valley Prize from the American Physical Society. Videos Watch a playlist of all …

Since its discovery over a century ago, superconductivity has promised transformative technologies, such as lossless power grids, magnetic levitation and ultrasensitive sensors. However, the progress in material discovery …

Past FWAMs October 15, 2025 Yun Hao: Decoding the Human Genome with AI October 15, 2025 David Hogg: What is the Machine Learning Good For (and Bad For …

Title: (Univalent) Foundations of Mathematics, AI, and Time Series (in Finance) Abstract: I will outline some foundational views on deep learning and AI, and then tie this to …

Title: Exploring neutron star mergers in numerical relativity Abstract: Numerical relativity plays many important roles in astrophysics and general relativity, e.g., in understanding mergers of black holes …

Imagine trying to navigate a new city without a map. Neuroscience has faced a similar challenge: understanding brain function without knowing its full wiring diagram. Recently, Mala Murthy …

Title: Chiral Superconductivity at Topological Phase Transitions: Field Theories and DMRG Abstract: Two-dimensional moire systems have realized a panoply of fractionalized states and superconductivity. As in the …

Title: Hot rocks and host stars: terrestrial exoplanets and the M dwarfs they orbit Abstract: Exoplanets outnumber stars in the Milky Way, and small worlds with radii less …

… Groups October 3, 2025 Ziquan Zhuang | Boundedness in General Type MMP

Title: On meta prompt optimization and coding agents Abstract: Language models (LMs) encode vast amounts of human knowledge in a queryable form and are now widely deployed across …

Title: Correlation and Collaboration: Strategies to design functionals Abstract: The use of functionals of compact quantities, such as Green’s functions, the onebody reduced density matrix, or the …

… will discuss how my work in physical oceanography explores these connections, with a particular focus on ocean turbulence. By combining observations, theory, simulations, and machine learning, we …

… governed by the QCP, where we find non-Fermi liquid behavior with strange-metal-like features such as a linear-in-T resistivity, dynamical scaling, and a …