diff --git a/_data/pub.json b/_data/pub.json
index 66863dbc..353c015d 100644
--- a/_data/pub.json
+++ b/_data/pub.json
@@ -137,7 +137,7 @@
     },
     {
         "key": "HUFPIYNT",
-        "version": 28800,
+        "version": 28807,
         "library": {
             "type": "group",
             "id": 10058,
@@ -181,10 +181,10 @@
             "parsedDate": "2023-08",
             "numChildren": 1
         },
-        "bibtex": "\n@inproceedings{gross_verification_2023,\n\taddress = {Niagara Falls, Ontario, Canada},\n\ttitle = {Verification of the {Cardinal} {Multiphysics} {Solver} for 1-{D} {Coupled} {Heat} {Transfer} and {Neutron} {Transport}},\n\turl = {https://www.researchgate.net/publication/373173646_Verification_of_the_Cardinal_Multiphysics_Solver_for_1-D_Coupled_Heat_Transfer_and_Neutron_Transport},\n\tabstract = {Cardinal is a multiphysics software tool that couples OpenMC Monte Carlo transport and NekRS Computational Fluid Dynamics (CFD) to the Multiphysics Object-Oriented Simulation Environment (MOOSE). This work verifies Cardinal for coupled neutron transport and heat conduction using a 1-D analytical solution from previous work by the Naval Nuclear Laboratory. This numerical benchmark includes S2 transport, Doppler-broadened cross sections, thermal conduction and expansion, and convective boundary conditions. The goal of this work is to verify Cardi-nal's basic multiphysics modeling capabilities for coupled neutronics and heat conduction. The benchmark provides analytical solutions for the temperature and flux distributions, as well as the k-eigenvalue. Using these solutions, an L2 error norm was computed for each spatial discretiza-tion: namely finite element heat conduction mesh and Monte Carlo cells. The temperature error showed linear convergence on a log-log plot of error vs. mesh element number, with a slope of −0.9986 (R{\\textasciicircum}2 ≈ 1.0). Nearly all spatial flux predictions, except a few points in the N = 250 case, space were within 2σ of the analytical solution, for Monte Carlo cell counts between 50 and 1000. The eigenvalue k eff also agrees well with the benchmark value for each mesh size. The outcome of this work is verification of coupled Monte Carlo-thermal conduction modeling using Cardinal.},\n\tbooktitle = {The {International} {Conference} on {Mathematics} and {Computational} {Methods} {Appliedto} {Nuclear} {Science} and {Engineering}},\n\tauthor = {Gross, Lewis I. and Novak, April J. and Shriwise, Patrick and Wilson, Paul P. H.},\n\tmonth = aug,\n\tyear = {2023},\n\tpages = {10},\n}\n",
+        "bibtex": "\n@inproceedings{gross_verification_2023,\n\taddress = {Niagara Falls, Ontario, Canada},\n\ttitle = {Verification of the {Cardinal} {Multiphysics} {Solver} for 1-{D} {Coupled} {Heat} {Transfer} and {Neutron} {Transport}},\n\turl = {https://www.researchgate.net/publication/373173646_Verification_of_the_Cardinal_Multiphysics_Solver_for_1-D_Coupled_Heat_Transfer_and_Neutron_Transport},\n\tabstract = {Cardinal is a multiphysics software tool that couples OpenMC Monte Carlo transport and NekRS Computational Fluid Dynamics (CFD) to the Multiphysics Object-Oriented Simulation Environment (MOOSE). This work verifies Cardinal for coupled neutron transport and heat conduction using a 1-D analytical solution from previous work by the Naval Nuclear Laboratory. This numerical benchmark includes S2 transport, Doppler-broadened cross sections, thermal conduction and expansion, and convective boundary conditions. The goal of this work is to verify Cardi-nal's basic multiphysics modeling capabilities for coupled neutronics and heat conduction. The benchmark provides analytical solutions for the temperature and flux distributions, as well as the k-eigenvalue. Using these solutions, an L2 error norm was computed for each spatial discretiza-tion: namely finite element heat conduction mesh and Monte Carlo cells. The temperature error showed linear convergence on a log-log plot of error vs. mesh element number, with a slope of −0.9986 (R{\\textasciicircum}2 ≈ 1.0). Nearly all spatial flux predictions, except a few points in the N = 250 case, space were within 2σ of the analytical solution, for Monte Carlo cell counts between 50 and 1000. The eigenvalue k eff also agrees well with the benchmark value for each mesh size. The outcome of this work is verification of coupled Monte Carlo-thermal conduction modeling using Cardinal.},\n\tbooktitle = {The {International} {Conference} on {Mathematics} and {Computational} {Methods} {Applied} to {Nuclear} {Science} and {Engineering}},\n\tauthor = {Gross, Lewis I. and Novak, April J. and Shriwise, Patrick and Wilson, Paul P. H.},\n\tmonth = aug,\n\tyear = {2023},\n\tpages = {10},\n}\n",
         "data": {
             "key": "HUFPIYNT",
-            "version": 28800,
+            "version": 28807,
             "itemType": "conferencePaper",
             "title": "Verification of the Cardinal Multiphysics Solver for 1-D Coupled Heat Transfer and Neutron Transport",
             "creators": [
@@ -211,7 +211,7 @@
             ],
             "abstractNote": "Cardinal is a multiphysics software tool that couples OpenMC Monte Carlo transport and NekRS Computational Fluid Dynamics (CFD) to the Multiphysics Object-Oriented Simulation Environment (MOOSE). This work verifies Cardinal for coupled neutron transport and heat conduction using a 1-D analytical solution from previous work by the Naval Nuclear Laboratory. This numerical benchmark includes S2 transport, Doppler-broadened cross sections, thermal conduction and expansion, and convective boundary conditions. The goal of this work is to verify Cardi-nal's basic multiphysics modeling capabilities for coupled neutronics and heat conduction. The benchmark provides analytical solutions for the temperature and flux distributions, as well as the k-eigenvalue. Using these solutions, an L2 error norm was computed for each spatial discretiza-tion: namely finite element heat conduction mesh and Monte Carlo cells. The temperature error showed linear convergence on a log-log plot of error vs. mesh element number, with a slope of −0.9986 (R^2 ≈ 1.0). Nearly all spatial flux predictions, except a few points in the N = 250 case, space were within 2σ of the analytical solution, for Monte Carlo cell counts between 50 and 1000. The eigenvalue k eff also agrees well with the benchmark value for each mesh size. The outcome of this work is verification of coupled Monte Carlo-thermal conduction modeling using Cardinal.",
             "date": "August 2023",
-            "proceedingsTitle": "The International Conference on Mathematics and Computational Methods Appliedto Nuclear Science and Engineering",
+            "proceedingsTitle": "The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering",
             "conferenceName": "M&C 2023",
             "place": "Niagara Falls, Ontario, Canada",
             "publisher": "",
@@ -236,7 +236,7 @@
             ],
             "relations": {},
             "dateAdded": "2023-09-11T15:43:08Z",
-            "dateModified": "2023-09-11T16:02:51Z"
+            "dateModified": "2023-09-12T03:01:29Z"
         }
     },
     {
diff --git a/_data/zotero.datestamp b/_data/zotero.datestamp
index bfe0cbb7..16d6e272 100644
--- a/_data/zotero.datestamp
+++ b/_data/zotero.datestamp
@@ -1 +1 @@
-Mon Sep 11 20:36:49 UTC 2023
+Tue Sep 12 14:52:15 UTC 2023