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Michael De Volder, Engineering Department - IfM
 

Thu 01 May 15:00: An Explicit Filtered Lie Splitting Scheme for the Original Zakharov System with Low Regularity Error Estimates in All Dimensions

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 22:29
An Explicit Filtered Lie Splitting Scheme for the Original Zakharov System with Low Regularity Error Estimates in All Dimensions

In this talk, we present low-regularity numerical schemes for nonlinear dispersive equations, with a particular focus on the Zakharov system (ZS) and the “good” Boussinesq (GB) equation. These models exhibit strong nonlinear interactions and are known to pose significant analytical and numerical challenges when the solution has limited regularity.

We concentrate on our recent results for the Zakharov system, where we construct and analyze an explicit filtered Lie splitting scheme applied directly to its original coupled form. This method successfully overcomes the essential difficulty of derivative loss in the nonlinear terms, which not only obstructs low-regularity analysis, but has long prevented rigorous error estimates for explicit Lie splitting schemes based directly on the original Zakharov system. By developing multilinear estimates in discrete Bourgain spaces, we rigorously prove the first explicit low-regularity error estimate for the original Zakharov system, and also the first such result for a coupled system within the Bourgain framework. The analytical strategy developed here can also be extended to other dispersive equations with derivative loss, offering a way to overcome both low-regularity difficulties and the fundamental obstacle posed by derivative-loss nonlinearities. Numerical experiments confirm the theoretical predictions.

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Tue 06 May 14:00: The Porous Medium Equation: Multiscale Analysis of a Zero-Range Process, Integrability Estimate and Large Deviations

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 21:36
The Porous Medium Equation: Multiscale Analysis of a Zero-Range Process, Integrability Estimate and Large Deviations

We consider a doubly-rescaled zero-range process with jump rate $g(k)=k\alpha, \alpha>1$, with scaling parameters $\chi_N\to 0, N\to \infty$, as a microscopic model for the porous medium equation. As a result of the superlinear jump rate, new ingredients are needed in addition to the Kipnis-Landim framework, of which the most interesting is an integrability estimate: Even if one can prove rapid equilibration on macroscopically small boxes, the superexponential estimate could fail due to configurations in which a vanishing proportion of mass produces a nonvanishing contribution to the $L\alpha_{t,x}$ norm. In order to rule this out, we show that the realisations of the particle system enjoy pathwise regularity estimates with superexponentially high probability across suitably chosen scales, which can be used in a multiscale argument to obtain the necessary integrability. Joint work with Benjamin Gess (TU Berlin / Max-Planck Institute for Mathematics in the Sciences)

  • Speaker: Daniel Heydecker (Imperial College)
  • Tuesday 06 May 2025, 14:00-15:00
  • Venue: MR12.
  • Series: Probability; organiser: Perla Sousi.

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Tue 13 May 16:00: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 20:30
Title to be confirmed

Abstract not available

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Optimization of crystallization dynamics in wide-bandgap bromine–iodine perovskite films for high-performance perovskite–organic tandem solar cells

http://feeds.rsc.org/rss/ee - Tue, 22/04/2025 - 16:39

Energy Environ. Sci., 2025, Advance Article
DOI: 10.1039/D5EE00264H, PaperZonglong Song, Jiangfeng Wang, Yuqi Bao, Jie Zeng, Deng Wang, Jiang He, Peide Zhu, Bo Jiang, Zhixin Liu, Siru He, Yanna Hou, Ziyang Hu, Chen Xie, Yongsheng Chen, Yongsheng Liu, Xingzhu Wang, Baomin Xu
By introducing moroxydine hydrochloride to optimize the crystallization of wide-bandgap perovskites, phase separation of halides was suppressed, achieving a PCE of 18.76%. This technology significantly improved photothermal stability.
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Fri 06 Jun 16:00: TBA

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 15:40
TBA

Abstract not available

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Machine learning-assisted benign transformation of three zinc states in zinc ion batteries

http://feeds.rsc.org/rss/ee - Tue, 22/04/2025 - 15:38

Energy Environ. Sci., 2025, Advance Article
DOI: 10.1039/D5EE00650C, Paper Open Access &nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Jianbo Dong, Guolang Zhou, Wenhao Ding, Jiayi Ji, Qing Wang, Tianshi Wang, Lili Zhang, Xiuyang Zou, Jingzhou Yin, Edison Huixiang Ang
A machine-learning-designed cerium-iron MOF layer enhances Zn anode stability, achieving over 4300 hours at 1 mA cm−2 and 99.8% coulombic efficiency over 1400 cycles at 2 mA cm−2, providing a cost-effective protective strategy.
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Fri 13 Jun 16:00: Thermal vortex rings: the vortex dynamics

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:56
Thermal vortex rings: the vortex dynamics

A thermal is a convective structure generated from a localized buoyancy anomaly, say, released from the surface. Since it evolves into a donuts-shaped vorticity, the vortex ring, it may be more precisely called the thermal vortex ring. Thermals are often considered basic elements of fully-developed convection in astrophysical and geophysical flows, as most vividly visualized by a cauliflower-like structure of cumulus-convective clouds. This talk revisits the problem of the thermal vortex ring from a point of view of the vortex dynamics. More specifically, I present: 1) a modon solution of a thermal vortex ring as an extension of Hill’s vortex; 2) a concise description based on the volume integrals of the vorticity weighted by a power of the distance from the vortex-ring axis; 3) derivation of a classical similarity solution based on it, as well as 4) a development of a closed system based on an explicit simulation. Those investigations as a whole suggest that the thermal vortex ring could be interpreted as a type of two-dimensional turbulence.

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Fri 30 May 16:00: Perfect modelling of linear and nonlinear vibration

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:56
Perfect modelling of linear and nonlinear vibration

It is suggested that a universal, simple equation exists that can be used for modelling all linear and nonlinear vibration. The motivation for this work comes from vibration testing. Here, a structure may be set into vibration and the resulting motion captured. This motion can be modelled perfectly by the proposed equation. More surprisingly the model will be familiar to all those who know about vibration. Finally, a good algorithm exists for fitting the model to data. The fitted equation is the homogeneous solution of the differential equation describing the structure and consequently the differential equation, linear or nonlinear, can be deduced. All these claims seem too good to be true! The talk will give details of the equation the modelling algorithm and applications. The author is interested your view of the universality of the modelling.

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Tue 29 Apr 15:15: BSU Seminar: "Investigating complex dependence structures using Bayesian mixture modelling" This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register...

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:49
BSU Seminar: "Investigating complex dependence structures using Bayesian mixture modelling"

We investigate complex dependence structures between categorical variables. We utilise Bayesian partitioning on subjects and variables simultaneously, referring to clusters of variables as views. We incorporate a variable selection procedure that highlights the variables that drive the clustering of the subjects within each view. We derive theoretical results on the relation between the variables’ dependence structure and the inferences derived from the implemented clustering. We demonstrate how such clustering results can be used to assist loglinear graphical model determination with simulated and real data sets. 

This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/7PLSTFN7QM6iUvdzQaegEw

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Fri 13 Jun 15:30: Science advice under uncertainty

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:49
Science advice under uncertainty

In this session, Amy Orben, the leader of the Digital Mental Health Group at the MRC Cognition and Brain Sciences Unit, will talk about her experience of having to support evidence-based policy in the area of teen mental health and social media. Her vision on how this could be improved was described in Orben, Amy, and J. Nathan Matias, ‘Fixing the science of digital technology harms’, Science 388, no. 6743 (2025): 152–155.

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Fri 16 May 14:00: Title to be confirmed

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:48
Title to be confirmed

Abstract not available

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Fri 30 May 15:30: The Culture Lab

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:45
The Culture Lab

Abstract not available

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One-Stone-Two-Birds: Over 26% Efficiency in Perovskite Solar Cells via Synergistic Crystallization & Interface Regulation

http://feeds.rsc.org/rss/ee - Tue, 22/04/2025 - 11:42
Energy Environ. Sci., 2025, Accepted Manuscript
DOI: 10.1039/D5EE00189G, PaperBoxin Jiao, Liguo Tan, Yiran Ye, Ningyu Ren, Minghao Li, Hang Li, Xiaoyi Li, Chenyi Yi
Organic-inorganic hybrid perovskites have emerged as promising photovoltaic materials due to their excellent photoelectronic properties and low-cost fabrication techniques. However, the performance and stability of perovskite solar cells (PSCs) are...
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Tue 29 Apr 14:00: BSU Seminar: "Common atoms mixture models in some biostatistical inference problems" This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register...

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 11:42
BSU Seminar: "Common atoms mixture models in some biostatistical inference problems"

We consider several examples of statistical inference for two or more related populations. In one example we characterize two patient populations that are relevant in the construction of a clinical study design, and propose a method to adjust for detected differences. Another example is about comparative immune profiling under two biologic conditions of interest when we identify shared versus condition-specific homogeneous cell subpopulations. In a third example we model spatially aligned cell subpopulations for spatial transcriptomics data.

Bayesian inference in all three applications requires prior probability models for two or more related distributions. We build on extensive literature on such models based on Dirichlet process priors. Related models are commonly known as dependent Dirichlet processes (DDP), with many variations and extensions beyond the Dirichlet process model.

One special feature in all three motivating applications is the focus on understanding the nature of the dependence across the related populations. In one application we aim to adjust for differences in population heterogeneity, in another we aim to identify and understand homogeneous subpopulations that are characteristic for one or the other condition.

This will be a free hybrid seminar. To register to attend virtually, please click here: https://cam-ac-uk.zoom.us/meeting/register/4uUskN5ZQjaJzckpMbxQ1Q

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Tue 13 May 11:00: Single charge pion production cross-sections at MicroBooNE

http://talks.cam.ac.uk/show/rss/5408 - Tue, 22/04/2025 - 10:20
Single charge pion production cross-sections at MicroBooNE

Single charge pion production cross-sections at MicroBooNE

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Latest news

We are hiring!

4 January 2021

We are seeking to hire a research assistant to work on carbon nanotube based microdevices. More information is available here: www.jobs.cam.ac.uk/job/28202/

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4 January 2021

We are seeking to hire a postdoc researcher to work on the structuring of Li-ion battery electrodes. More information is available here: www.jobs.cam.ac.uk/job/28197/