Fri 30 May 13:00: Gravitational Wave Signatures of Dark Matter in Neutron Star Mergers
Binary neutron star mergers provide insights into strong-field gravity and the properties of ultra-dense nuclear matter. These events offer the potential to search for signatures of physics beyond the standard model, including dark matter. We present the first numerical-relativity simulations of binary neutron star mergers admixed with dark matter, based on constraint-solved initial data. Modeling dark matter as a non-interacting fermionic gas, we investigate the impact of varying dark matter fractions and particle masses on the merger dynamics, ejecta mass, post-merger remnant properties, and the emitted gravitational waves. Our simulations suggest that the dark matter morphology – a dense core or a diluted halo – may alter the merger outcome. Scenarios with a dark matter core tend to exhibit a higher probability of prompt collapse, while those with a dark matter halo develop a common envelope, embedding the whole binary. Furthermore, gravitational wave signals from mergers with dark matter halo configurations exhibit significant deviations from standard models when the tidal deformability is calculated in a two-fluid framework neglecting the dilute and extended nature of the halo. This highlights the need for refined models in calculating the tidal deformability when considering mergers with extended dark matter structures. These initial results provide a basis for further exploration of dark matter’s role in binary neutron star mergers and their associated gravitational wave emission and can serve as a benchmark for future observations from advanced detectors and multi-messenger astrophysics.
- Speaker: Violetta Sagun, University of Southampton
- Friday 30 May 2025, 13:00-14:00
- Venue: MR9/Zoom https://cam-ac-uk.zoom.us/j/87235967698.
- Series: DAMTP Friday GR Seminar; organiser: Xi Tong.
Bioinspired Electrocatalyst for CO2 Electroreduction to Ethanol via Secondary-Sphere Synergy in Fe Porphyrinic-Based Metal-Organic Frameworks
DOI: 10.1039/D5EE01388G, PaperKaian Sun, Shaohui Xie, Ping Guan, Zewen Zhuang, Xin Tan, Wei Yan, Jiujun Zhang, Chen Chen
Carbon dioxide electroreduction reaction (CO2RR) to ethanol (C2H5OH) represents a sustainable route toward carbon neutrality. Herein, we present the design of enzyme-inspired zirconium-Fe porphyrinic-based metal-organic framework (MOF) nanosheets functionalized with...
The content of this RSS Feed (c) The Royal Society of Chemistry
Tue 19 Aug 14:00: Quantum Hydrodynamics
The complex behavior of interacting many-body quantum systems continues to challenge contemporary researchers. In particular, inferring edge dynamics from bulk properties, which typically relies on a bulk-boundary correspondence, remains an unsolved problem in many condensed matter systems. Most edge theories are derived by integrating out bulk matter fields, leaving behind a theory that describes only the edge degrees of freedom. Alternatively, when a suitable hydrodynamic theory for the system is developed, the relationship between bulk matter fields and edge dynamics naturally follows from “classical” hydrodynamic boundary conditions, such as no-penetration and no-stress.
If a system admits an effective theory in terms of a single complex scalar, such as an order parameter or wavefunction, constructing a hydrodynamic theory becomes straightforward, with boundary conditions arising directly from conservation laws. In this talk I will outline this general process and apply the formalism to three illustrative examples. Fractional Quantum Hall fluids offer insights into hydrodynamic Chern-Simons theories, while polariton fluids motivate the introduction of dissipative effects. Integer quantum Hall states of bosons, representing a type of symmetry-protected topological phase, are effectively described by a two-fluid model which leads to a broader class of boundary conditions and edge modes. Time permitting, I will discuss how this framework may also shed light on turbulence in both quantum and classical systems.
- Speaker: Dylan Reynolds, ICTS Bangalore
- Tuesday 19 August 2025, 14:00-15:30
- Venue: Seminar Room 3, RDC.
- Series: Theory of Condensed Matter; organiser: Gaurav.
Thu 29 May 11:30: James Sear - Plumes in Turbulence Ross Shepherd — Efficiency of CO2 storage in aquifers
James Sear, IEEF - Plumes in Turbulence
Ross Shepherd, IEEF — Efficiency of CO2 storage in aquifers
- Speaker: James Sear and Ross Shepherd, IEEF
- Thursday 29 May 2025, 11:30-12:30
- Venue: Open Plan Area, Institute for Energy and Environmental Flows, Madingley Rise CB3 0EZ.
- Series: Institute for Energy and Environmental Flows (IEEF); organiser: Catherine Pearson.
Thu 29 May 17:00: Universal Diophantine Equations in Isabelle
If you have a question about this talk, please contact Anand Rao Tadipatri.
Abstract: In this talk I will present the formalisation of a universal construction of Diophantine equations with bounded complexity in Isabelle/HOL. This is a formalisation of my own work in number theory.
Hilbert’s Tenth Problem (H10) was answered negatively by Yuri Matiyasevich, who showed that there is no general algorithm to decide whether an arbitrary Diophantine equation has a solution. I will give an introduction to Hilbert’s Problem and its original solution. Moreover, I will motivate and give the key idea of the stronger version of H10 which we formalised. Finally, I will talk about the various challenges that came up during the formalisation and, more importantly, the insights we drew from formalising our yet-unpublished, unpolished manuscript.
This is joint work with Marco David, Timothé Ringeard, Xavier Pigé, Anna Danilkin, Mathis Bouverot-Dupuis, Paul Wang, Quentin Vermande, Theo Andrée, Loïc Chevalier, Charlotte Dorneich, Eva Brenner, Chris Ye, Kevin Lee, Malte Haßler, Simon Dubischar, Thomas Serafini, Dierk Schleicher and Yuri Matiyasevich.
=== Hybrid talk ===
Join Zoom Meeting https://cam-ac-uk.zoom.us/j/89856091954?pwd=Bba77QB2KuTideTlH6PjAmbXLO8HbY.1
Meeting ID: 898 5609 1954 Passcode: ITPtalk
- Speaker: Jonas Bayer (University of Cambridge)
- Thursday 29 May 2025, 17:00-18:00
- Venue: MR14 Centre for Mathematical Sciences.
- Series: Formalisation of mathematics with interactive theorem provers ; organiser: Jonas Bayer.
Application-driven design of non-aqueous electrolyte solutions through quantification of interfacial reactions in lithium metal batteries
Nature Nanotechnology, Published online: 28 May 2025; doi:10.1038/s41565-025-01935-y
Tailored non-aqueous electrolyte solutions are formulated using data obtained from extensive analytical measurements and analyses. These optimized electrolytes improve the cycling performance of single-layer stack lithium metal pouch cells, particularly in lean electrolyte conditions.Hyper-gap transparent conductor
Nature Materials, Published online: 28 May 2025; doi:10.1038/s41563-025-02248-0
A family of organic metals that behave as hyper-gap transparent conductors is discussed. Such an elusive combination of electronic conduction and optical transparency is highly attractive for plasmonics and photonics applications.Thu 29 May 14:00: Perceptual quality metric and loss function for 3D and temporal consistency
To better train and evaluate 3D reconstruction methods (NeRF, Gaussian Splatting) or 3D generative models, both for static (3D) and dynamic (4D) scenes, we will develop a new full-reference quality metric and no-reference loss function. Those will be trained and validated on a new 4D quality dataset, with the subjective quality measured in stereoscopic presentation (e.g., on a VR headset). The developed techniques will improve 3D and temporal consistency of the rendered views, resulting in fewer temporal artefacts. They will also allow automatic hyper-parameter tuning and more reliable evaluation and comparison of 3D rendering techniques.
- Speaker: Fei Yin, University of Cambridge
- Thursday 29 May 2025, 14:00-15:00
- Venue: Webinar (via Zoom online) ID: 87457263100 Passcode: 708172.
- Series: Rainbow Group Seminars; organiser: Yancheng Cai.
Tue 03 Jun 11:00: Discovering reward-guided learning strategies from large-scale datasets
Understanding the neural mechanisms of reward-guided learning is a long-standing goal of computational neuroscience. Recent methodological innovations enable us to collect ever larger neural and behavioral datasets. This presents opportunities to achieve greater understanding of learning in the brain at scale, as well as methodological challenges. In the first part of the talk, I will discuss our recent insights into the mechanisms by which zebra finch songbirds learn to sing. Dopamine has been long thought to guide reward-based trial-and-error learning by encoding reward prediction errors. However, it is unknown whether the learning of natural behaviours, such as developmental vocal learning, occurs through dopamine-based reinforcement. Longitudinal recordings of dopamine and bird songs reveal that dopamine activity is indeed consistent with encoding a reward prediction error during naturalistic learning.
In the second part of the talk, I will talk about recent work we are doing at DeepMind to develop tools for automatically discovering interpretable models of behavior directly from animal choice data. Our method, dubbed CogFunSearch, uses LLMs within an evolutionary search process in order to “discover” novel models in the form of Python programs that excel at accurately predicting animal behavior during reward-guided learning. The discovered programs reveal novel patterns of learning and choice behavior that update our understanding of how the brain solves reinforcement learning problems.
- Speaker: Kimberly Stachenfeld (DeepMind, Columbia)
- Tuesday 03 June 2036, 11:00-12:30
- Venue: CBL Seminar Room, Engineering Department, 4th floor Baker building.
- Series: Computational Neuroscience; organiser: Daniel Kornai.
Thu 29 May 14:00: Streaming of rendered content with adaptive frame rate and resolution
Streaming rendered content is an attractive way to bring high-quality graphics to billions of mobile devices that do not have sufficient rendering power. Existing solutions render content on a server at a fixed frame rate, typically 30 or 60 frames per second, and reduce resolution when bandwidth is restricted. Here, we argue that when streaming graphics content with fast motion, higher quality is achieved when both the frame rate and the resolution are adjusted dynamically based on the content and its motion. We propose a system in which a small neural network predicts the optimal frame rate and resolution for a given transmission bandwidth, content, and motion velocity. This prediction maximizes perceived rendering quality and reduces computational cost under constrained transmission bandwidth. The network is trained on a large dataset of rendered content, which was labeled with a perceptual video quality metric.
- Speaker: Yaru Liu, University of Cambridge
- Thursday 29 May 2025, 14:00-15:00
- Venue: Webinar (via Zoom online) ID: 87457263100 Passcode: 708172.
- Series: Rainbow Group Seminars; organiser: Yancheng Cai.
Levelized cost and carbon intensity of solar hydrogen production from water electrolysis using a scalable and intrinsically safe photocatalytic Z-scheme electrochemical raceway system
DOI: 10.1039/D4EE05889E, PaperStephanie Collins, Yaset Acevedo, Daniel V Esposito, Rohini Bala Chandran, Shane Ardo, Brian James, Hanna Breunig
Generating hydrogen from renewable resources would unlock a low-carbon energy carrier that could be used to reduce greenhouse gas emissions in sectors such as industry and transportation. Yet, the allocation...
The content of this RSS Feed (c) The Royal Society of Chemistry
Wed 11 Jun 13:00: But what is 'performativity of science'?
Abstract not available
- Speaker: Jakob Ortmann (Leibniz University, Hannover)
- Wednesday 11 June 2025, 13:00-14:30
- Venue: Seminar Room 2, Department of History and Philosophy of Science.
- Series: CamPoS (Cambridge Philosophy of Science) seminar; organiser: Miguel Ohnesorge.
Wed 04 Jun 13:00: Title to be confirmed
Abstract not available
- Speaker: Michael Diamond-Hunter (Department of History and Philosophy of Science)
- Wednesday 04 June 2025, 13:00-14:30
- Venue: Seminar Room 2, Department of History and Philosophy of Science.
- Series: CamPoS (Cambridge Philosophy of Science) seminar; organiser: Miguel Ohnesorge.
Wed 04 Jun 11:00: Exploring charge density waves in NbSe2 with machine learning
Niobium diselenide has garnered significant attention over the past few decades because of the coexis tence of superconductivity and charge density waves (CDWs), observable down to the monolayer limit. Introducing relative twist angles between monolayers, in the field of twistronics, offers a new variable to tune these systems, yet a fundamental question remains: do CDWs persist in moiré structures, and how are they altered compared to the pristine monolayer/bilayer? Traditional first-principles methods face limitations due to the computational resources required for long-wavelength moiré patterns; for instance, a 1-degree twist angle necessitates modeling over 10,000 atoms, making simulations impractical. This study employs first-principles data to develop machine learning interatomic potentials with the Allegro architecture, enabling scalable and accurate simulations. We investigate the formation and evolution of CDW order in monolayers and twisted bilayers, validating our results against density functional theory calculations with minimal errors in energy and forces. Beyond niobium diselenide, our goal is to establish a protocol for studying CDWs in two-dimensional systems. We outline strategies for producing training data and perform a detailed hyperparameter scan to identify key aspects for studying these systems [1].
- Norma Rivano et al. arXiv.2504.13675 2025
- Speaker: Dr Zac Goodwin (Oxford)
- Wednesday 04 June 2025, 11:00-11:50
- Venue: Seminar Room 3, RDC.
- Series: Theory of Condensed Matter; organiser: Bo Peng.
Tue 27 May 14:00: 007: End-to-End Encrypted Audio Calls via Blind Audio Mixing
End-to-end encryption (E2EE) for messaging has become an industry standard and is widely implemented in many applications. However, applying E2EE to audio calls, particularly group calls, remains a complex challenge. Unlike text messages, audio calls involve capturing audio streams from each participant, which must be combined into a single, coherent audio stream that all participants can hear. This is known as audio mixing. In a non-E2EE system, the audio is mixed by a central server, and the result is sent to each participant. In contrast, in an E2EE system, each audio stream must be encrypted locally and sent to every participant in the group call. This method presents major challenges with respect to network overhead, audio synchronization and limitation on applying audio enhancement techniques.
In this talk, we present a new approach using Fully Homomorphic Encryption (FHE), which enables end-to-end encryption for group voice calls. Concretely, we introduce blind audio mixing and an FHE -compatible compression technique.
Zoom link: https://www.google.com/url?q=https://cam-ac-uk.zoom.us/j/83912370794?pwd%3DKOjLaKTwbRWvlsSjiLSgpTqIkEs8xI.1
- Speaker: Emad Heydari Beni and Lode Hoste, Nokia Bell Labs
- Tuesday 27 May 2025, 14:00-15:00
- Venue: Webinar & LT2, Computer Laboratory, William Gates Building..
- Series: Computer Laboratory Security Seminar; organiser: Anna Talas.
Data−driven Design of Advanced Magnesium−Battery Electrolyte via Dynamic Solvation Models
DOI: 10.1039/D5EE01304F, PaperRuimin Li, Wanyu Zhao, Zhengqing Fan, Meng Zhang, Jiayi Li, Rushuai Li, Zhi-Jun Zuo, Xiaowei Yang
Artificial Intelligence (AI) facilitates electrolyte screening by correlating the complex physicochemical properties of solvent/clusters with battery performance. However, modeling and interpreting the high−dimensional relationships between dynamic evolution of ion−solvent cluster...
The content of this RSS Feed (c) The Royal Society of Chemistry
Efficient hydrogen evolution at Ni/CeOx interfaces in anion-exchange membrane water electrolysers
DOI: 10.1039/D4EE06113F, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Ibrahem O. Baibars, Haisen Huang, Yang Xiao, Shuhao Wang, Yan Nie, Chen Jia, Kamran Dastafkan, Chuan Zhao
Simultaneous reduction of concentration and activation overpotentials at hierarchically porous Ni/CeOx interfaces in anion-exchange membrane water electrolysers.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
High-areal-capacity Na-ion battery electrode with high energy and power densities by simultaneous electrospinning-spraying fabrication
DOI: 10.1039/D5EE01444A, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Mengzheng Ouyang, Zhenyu Guo, Luis E Salinas-Farran, Siyu Zhao, Mengnan Wang, Feiran Li, Yan Zhao, Kaitian Zheng, Hao Zhang, Guangdong Li, Xinhua Liu, Shichun Yang, Fei Xie, Paul Shearing, Maria Magdalena Titirici, Nigel Brandon
Sodium-ion batteries (SIBs) are cost-effective alternatives to lithium-ion batteries (LIBs), but their low energy density remains a challenge. Current electrode designs fail to simultaneously achieve high areal loading, high active...
The content of this RSS Feed (c) The Royal Society of Chemistry
Wed 18 Jun 11:15: Title to be confirmed
Abstract not available
- Speaker: Paul Goddard - University of Warwick
- Wednesday 18 June 2025, 11:15-12:00
- Venue: Mott Seminar Room (531), Cavendish Laboratory, Department of Physics.
- Series: Quantum Matter Seminar; organiser: Mads Fonager Hansen.
Thu 19 Jun 15:00: Quadrature By Rational Approximation
Many numerical algorithms rely on quadrature formulas such as Gauss quadrature, the trapezoidal rule, and their conformal transplantations to specialized domains. Each quadrature formula can be interpreted as a rational approximation to an analytic function with a branch cut. Reversing the logic, new quadrature formulas can be quickly derived even for specialized domains by numerical rational approximation via the AAA algorithm, avoiding the need for conformal maps or other analysis. The poles of the rational approximations delineate branch cuts, and the poles and residues are the quadrature nodes and weights. The talk will present ten examples: five known problems, plus a variant for each one. I hope it will change your understanding of quadrature formulas.
- Speaker: Nick Trefethen (Oxford and Harvard)
- Thursday 19 June 2025, 15:00-16:00
- Venue: Centre for Mathematical Sciences, MR14.
- Series: Applied and Computational Analysis; organiser: Matthew Colbrook.