Evidence map›Paper›PMID 36192410›Full record

ArticleScientific data2022

A Dataset of 3D Structural and Simulated Transport Properties of Complex Porous Media.

Javier E Santos, Bernard Chang, Alex Gigliotti, Ying Yin, Wenhui Song, Maša Prodanović, Qinjun Kang, Nicholas Lubbers, Hari Viswanathan

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Javier E SantosLos Alamos National Laboratory, Los Alamos, USA. jesantos@lanl.gov.
Bernard ChangThe University of Texas at Austin, Austin, USA.
Alex GigliottiThe University of Texas at Austin, Austin, USA.ORCID http://orcid.org/0000-0002-9237-7184
Ying YinXii'an Jiaotong University, Xi'an, China.
Wenhui SongChina University of Petroleum, East China, Dongying, China.
Maša ProdanovićThe University of Texas at Austin, Austin, USA.
Qinjun KangLos Alamos National Laboratory, Los Alamos, USA.
Nicholas LubbersLos Alamos National Laboratory, Los Alamos, USA.
Hari ViswanathanLos Alamos National Laboratory, Los Alamos, USA.
Los Alamos National Laboratory · USThe University of Texas at Austin · USChina University of Petroleum, East China · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical processes that occur within porous materials have wide-ranging applications including - but not limited to - carbon sequestration, battery technology, membranes, oil and gas, geothermal energy, nuclear waste disposal, water resource management. The equations that describe these physical processes have been studied extensively; however, approximating them numerically requires immense computational resources due to the complex behavior that arises from the geometrically-intricate solid boundary conditions in porous materials. Here, we introduce a new dataset of unprecedented scale and breadth, DRP-372: a catalog of 3D geometries, simulation results, and structural properties of samples hosted on the Digital Rocks Portal. The dataset includes 1736 flow and electrical simulation results on 217 samples, which required more than 500 core years of computation. This data can be used for many purposes, such as constructing empirical models, validating new simulation codes, and developing machine learning algorithms that closely match the extensive purely-physical simulation. This article offers a detailed description of the contents of the dataset including the data collection, simulation schemes, and data validation.

Identifiers

PMID36192410
PMCPMC9530238
OpenAlexW4300961484

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.