Mathematical Modelling of Lockdown Policy for COVID-19
Fu, Y Xiang, H Jin, H Wang, N Procedia Computer Science volume 187 447-457 (12 Jun 2021)
Efficient and Accurate Gradients for Neural SDEs
Kidger, P Foster, J Li, X Lyons, T Advances in Neural Information Processing Systems volume 23 18747-18761
SARS-CoV-2 antibody dynamics and transmission from community-wide serological testing in the Italian municipality of Vo’
Dorigatti, I Lavezzo, E Manuto, L Ciavarella, C Pacenti, M Boldrin, C Cattai, M Saluzzo, F Franchin, E Del Vecchio, C Caldart, F Castelli, G Nicoletti, M Nieddu, E Salvadoretti, E Labella, B Fava, L Guglielmo, S Fascina, M Grazioli, M Alvisi, G Vanuzzo, M Zupo, T Calandrin, R Lisi, V Rossi, L Castagliuolo, I Merigliano, S Unwin, H Plebani, M Padoan, A Brazzale, A Toppo, S Ferguson, N Donnelly, C Crisanti, A Nature Communications volume 12 (19 Jul 2021)
Pseudo-marginal Hamiltonian Monte Carlo
Alenlov, J Doucet, A Lindsten, F Journal of Machine Learning Research volume 22 issue 141 1-45 (21 Jun 2021)
Mon, 21 Jun 2021

16:00 - 17:00
Virtual

Correlations of almost primes

Natalie Evans
(KCL)
Abstract

The Hardy-Littlewood generalised twin prime conjecture states an asymptotic formula for the number of primes $p\le X$ such that $p+h$ is prime for any non-zero even integer $h$. While this conjecture remains wide open, Matom\"{a}ki, Radziwi{\l}{\l} and Tao proved that it holds on average over $h$, improving on a previous result of Mikawa. In this talk we will discuss an almost prime analogue of the Hardy-Littlewood conjecture for which we can go beyond what is known for primes. We will describe some recent work in which we prove an asymptotic formula for the number of almost primes $n=p_1p_2 \le X$ such that $n+h$ has exactly two prime factors which holds for a very short average over $h$.

From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics.
Manrubia, S Cuesta, J Aguirre, J Ahnert, S Altenberg, L Cano, A Catalán, P Diaz-Uriarte, R Elena, S García-Martín, J Hogeweg, P Khatri, B Krug, J Louis, A Martin, N Payne, J Tarnowski, M Weiß, M Physics of life reviews volume 38 55-106 (Sep 2021)

What takes a mathematician to the Arctic? In short, context. The ice of the Arctic Ocean has been a rich source of mathematical problems since the late 19$^{th}$ century, when Josef Stefan, aided by data from expeditions that went in search of the Northwest Passage, developed the classical Stefan problem. This describes the evolution of a moving boundary at which a material undergoes a phase change. In recent years, interest in the Arctic has only increased, due to the rapid changes occurring there due to climate change.

Embedded training of neural-network subgrid-scale turbulence models
MacArt, J Sirignano, J Freund, J Physical Review Fluids volume 6 issue 5 050502 (01 May 2021)
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