Proceedings. Mathematical, Physical, and Engineering Sciences
Overview
'Proceedings. Mathematical, physical, and engineering sciences' is a prestigious journal that publishes cutting-edge research in various disciplines, including mathematics, physics, and engineering. It provides a platform for scientists and engineers to share their innovative findings, theories, and applications, fostering interdisciplinary collaboration and advancing knowledge in these fields.
Details
Details
Abbr.
Proc Math Phys Eng Sci
Start
1996
End
Continuing
Frequency
Monthly
p-ISSN
1364-5021
e-ISSN
1471-2946
Country
United Kingdom
Language
English
Metrics
Metrics
h-index / Ranks: 1356
153
SJR / Ranks: 4861
845
CiteScore / Ranks: 4374
5.50
JIF / Ranks: 2766
3.5
Recent Articles
11.
Adukov V, Adukova N, Mishuris G
Proc Math Phys Eng Sci
. 2022 Jul;
478(2263):20210941.
PMID: 35811639
We discuss an explicit algorithm for solving the Wiener-Hopf factorization problem for matrix polynomials. By of the problem, we understand the one constructed by a symbolic computation. Since the problem...
12.
Cotterill P, Nigro D, Parnell W
Proc Math Phys Eng Sci
. 2022 Jul;
478(2263):20220026.
PMID: 35811638
The giant monopole resonance is a well-known phenomenon, employed to tune the dynamic response of composite materials comprising voids in an elastic matrix which has a bulk modulus much greater...
13.
Xia B, Krueger P
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210615.
PMID: 35756882
Particulate suspensions occur in situations from blood flow to slurries in drilling applications. Existing investigations of these suspensions generally concentrate on the impact of particle volume fraction for suspensions in...
14.
Chada N, Jasra A, Yu F
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210710.
PMID: 35756881
In this article, we consider the development of unbiased estimators of the Hessian, of the log-likelihood function with respect to parameters, for partially observed diffusion processes. These processes arise in...
15.
Goyal P, Benner P
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210883.
PMID: 35756880
In this work, we blend machine learning and dictionary-based learning with numerical analysis tools to discover differential equations from noisy and sparsely sampled measurement data of time-dependent processes. We use...
16.
Price G, Chernyavsky I, Jensen O
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20220032.
PMID: 35756879
We investigate the transport of a solute past isolated sinks in a bounded domain when advection is dominant over diffusion, evaluating the effectiveness of homogenization approximations when sinks are distributed...
17.
Maddu S, Cheeseman B, Sbalzarini I, Muller C
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210916.
PMID: 35756878
We present a statistical learning framework for robust identification of differential equations from noisy spatio-temporal data. We address two issues that have so far limited the application of such methods,...
18.
Hyun S, Mishra A, Follett C, Jonsson B, Kulk G, Forget G, et al.
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210875.
PMID: 35756877
Remote sensing observations from satellites and global biogeochemical models have combined to revolutionize the study of ocean biogeochemical cycling, but comparing the two data streams to each other and across...
19.
Hance J, Hossenfelder S
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210705.
PMID: 35756876
In quantum mechanics, the wave function predicts probabilities of possible measurement outcomes, but not which individual outcome is realized in each run of an experiment. This suggests that it describes...
20.
Vilacis B, Hayek J, Stotz I, Bunge H, Friedrich A, Carena S, et al.
Proc Math Phys Eng Sci
. 2022 Jun;
478(2262):20210764.
PMID: 35756875
Histories of large-scale horizontal and vertical lithosphere motion hold important information on mantle convection. Here, we compare continent-scale hiatus maps as a proxy for mantle flow induced dynamic topography and...