Exatas

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

3,131 to 3,140 of 3,192 Results

Prediction of the structural behavior of RC columns in fire Jul 30, 2021 Buttignol, Thomaz Eduardo Teixeira, 2021, "Prediction of the structural behavior of RC columns in fire", https://doi.org/10.25824/redu/OJKOFN, Repositório de Dados de Pesquisa da Unicamp, V2 Python script to compute the displacements and the failure of RC columns subjected to fire. The analyses assume a concentric load (no initial eccentricity) or an equivalent axial load to take into account first and second order effects. The displacements are estimated by the intr...
RC_column_fire.xlsx Jul 30, 2021 - Prediction of the structural behavior of RC columns in fire MS Excel Spreadsheet - 1.0 MB - MD5: 25976ea45ed827c622a41d5c0f8d6694 Excel spreadsheet to compute the displacements and the failure of RC columns subjected to fire. The analyses assume a concentric load (no initial eccentricity) or an equivalent axial load to take into account first and second order effects. The displacements are estimated by the...
RC_columns_fire-R0.py Apr 15, 2021 - Prediction of the structural behavior of RC columns in fire Plain Text - 14.4 KB - MD5: 9ffe6315039ad3947e772507fca6e36e Python script to compute the displacements and the failure of RC columns subjected to fire.
Graph Learning Network (GLN) Mar 1, 2021 Saire Pilco, Darwin Danilo; Ramirez Rivera, Gerberth Adin, 2021, "Graph Learning Network (GLN)", https://doi.org/10.25824/redu/B3XYDD, Repositório de Dados de Pesquisa da Unicamp, V1 GLN creates a set of node embeddings H(l) that are later combined to produce an intermediary representation H_int(l). Then, we use the updated node information with the adjacency information to produce a local embedding of the nodes' information H_local(l) that is also the output...
Bi-modified Pt Electrodes toward Glycerol Electrooxidation in Alkaline Solution: Effects on Activity and Selectivity Feb 22, 2021 Matheus B. C. de Souza; Rafael A. Vicente; Victor Y. Yukuhiro; Cléo T. G. V. M. T. Pires; William Cheuquepán; José L. Bott-Neto; José Solla-Gullón; Pablo S. Fernández, 2021, "Bi-modified Pt Electrodes toward Glycerol Electrooxidation in Alkaline Solution: Effects on Activity and Selectivity", https://doi.org/10.25824/redu/YCEOLW, Repositório de Dados de Pesquisa da Unicamp, V1 Herein we investigate the effect of irreversibly adsorbed bismuth on polycrystalline platinum (Ptp) on the electrooxidation of glycerol in alkaline media by combining electrochemical, spectroscopic (in situ FTIR), and analytical (HPLC on line) techniques. We found that the activi...
High Performance Collision Cross Section Calculation – HPCCS Jun 4, 2020 Zanotto, Leandro, 2020, "High Performance Collision Cross Section Calculation – HPCCS", https://doi.org/10.25824/redu/L8QB0S, Repositório de Dados de Pesquisa da Unicamp, V1 The High Performance Collision Cross Section (HPCCS) is a new software for fast and accurate calculation of CCS for molecular ions. Based on the Trajectory Method (TM), HPCCS was parallelized and optimized to be an user-friendly program.
01_1hrc_carga_6_min.pqr Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS Unknown - 79.9 KB - MD5: 8523d98fccbe20ffc49a0f02f0aa3dd2
01_1mlt_carga_3_min.pqr Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS Unknown - 20.2 KB - MD5: 475997f452567be9addf9e38a151016c
01_N-ethylaniline_mulliken.pqr Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS Unknown - 1.1 KB - MD5: 84c092545d186c398fd35ca97756e3c6
02_1fd3_carga_3_min.pqr Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS Unknown - 28.6 KB - MD5: f916d6a490c0146290ab99f64e1f800c

Prediction of the structural behavior of RC columns in fire

Jul 30, 2021

Buttignol, Thomaz Eduardo Teixeira, 2021, "Prediction of the structural behavior of RC columns in fire", https://doi.org/10.25824/redu/OJKOFN, Repositório de Dados de Pesquisa da Unicamp, V2

Python script to compute the displacements and the failure of RC columns subjected to fire. The analyses assume a concentric load (no initial eccentricity) or an equivalent axial load to take into account first and second order effects. The displacements are estimated by the intr...

RC_column_fire.xlsx

Jul 30, 2021 - Prediction of the structural behavior of RC columns in fire

MS Excel Spreadsheet - 1.0 MB -

Excel spreadsheet to compute the displacements and the failure of RC columns subjected to fire. The analyses assume a concentric load (no initial eccentricity) or an equivalent axial load to take into account first and second order effects. The displacements are estimated by the...

RC_columns_fire-R0.py

Apr 15, 2021 - Prediction of the structural behavior of RC columns in fire

Plain Text - 14.4 KB -

Python script to compute the displacements and the failure of RC columns subjected to fire.

Graph Learning Network (GLN)

Mar 1, 2021

Saire Pilco, Darwin Danilo; Ramirez Rivera, Gerberth Adin, 2021, "Graph Learning Network (GLN)", https://doi.org/10.25824/redu/B3XYDD, Repositório de Dados de Pesquisa da Unicamp, V1

GLN creates a set of node embeddings H(l) that are later combined to produce an intermediary representation H_int(l). Then, we use the updated node information with the adjacency information to produce a local embedding of the nodes' information H_local(l) that is also the output...

Bi-modified Pt Electrodes toward Glycerol Electrooxidation in Alkaline Solution: Effects on Activity and Selectivity

Feb 22, 2021

Matheus B. C. de Souza; Rafael A. Vicente; Victor Y. Yukuhiro; Cléo T. G. V. M. T. Pires; William Cheuquepán; José L. Bott-Neto; José Solla-Gullón; Pablo S. Fernández, 2021, "Bi-modified Pt Electrodes toward Glycerol Electrooxidation in Alkaline Solution: Effects on Activity and Selectivity", https://doi.org/10.25824/redu/YCEOLW, Repositório de Dados de Pesquisa da Unicamp, V1

Herein we investigate the effect of irreversibly adsorbed bismuth on polycrystalline platinum (Ptp) on the electrooxidation of glycerol in alkaline media by combining electrochemical, spectroscopic (in situ FTIR), and analytical (HPLC on line) techniques. We found that the activi...

High Performance Collision Cross Section Calculation – HPCCS

Jun 4, 2020

Zanotto, Leandro, 2020, "High Performance Collision Cross Section Calculation – HPCCS", https://doi.org/10.25824/redu/L8QB0S, Repositório de Dados de Pesquisa da Unicamp, V1

The High Performance Collision Cross Section (HPCCS) is a new software for fast and accurate calculation of CCS for molecular ions. Based on the Trajectory Method (TM), HPCCS was parallelized and optimized to be an user-friendly program.

01_1hrc_carga_6_min.pqr

Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS

Unknown - 79.9 KB -

01_1mlt_carga_3_min.pqr

Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS

Unknown - 20.2 KB -

01_N-ethylaniline_mulliken.pqr

Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS

Unknown - 1.1 KB -

02_1fd3_carga_3_min.pqr

Jun 4, 2020 - High Performance Collision Cross Section Calculation – HPCCS

Unknown - 28.6 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications