From 765e7389fa32d217f1d44e09f774aa2ff75914b0 Mon Sep 17 00:00:00 2001
From: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Date: Tue, 28 Nov 2023 00:06:17 -0500
Subject: [PATCH] cleanup html tags

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
---
 source/_data/pub.bib | 30 +++++++-----------------------
 1 file changed, 7 insertions(+), 23 deletions(-)

diff --git a/source/_data/pub.bib b/source/_data/pub.bib
index 85ed5f3..77263f8 100644
--- a/source/_data/pub.bib
+++ b/source/_data/pub.bib
@@ -1011,9 +1011,7 @@ @Article{Balyakin_PhysRevE_2020_v102_p052125
 }
 @Article{CalegariAndrade_PhysRevMaterials_2020_v4_p113803,
     author =   {Marcos F. {Calegari Andrade} and Annabella Selloni},
-    title =    {{Structure of disordered  <mml:math xmlns:mml="http://www.w3.org/1998/M
-             ath/MathML"><mml:msub><mml:mi>TiO</mml:mi><mml:mn>2</mml:mn></mml:msub
-             ></mml:math>  phases from  <i>ab initio</i>  based deep neural network
+    title =    {{Structure of disordered TiO2  phases from  <i>ab initio</i>  based deep neural network
              simulations}},
     journal =  {Phys. Rev. Materials},
     year =     2020,
@@ -1981,9 +1979,7 @@ @Article{Pan_ComputationalMaterialsScience_2021_v187_p110055
 
 @Article{Wu_PhysRevB_2021_v103_p024108,
     author =   {Jing Wu and Yuzhi Zhang and Linfeng Zhang and Shi Liu},
-    title =    {{Deep learning of accurate force field of ferroelectric  <mml:math xmln
-             s:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mrow><mml:mi
-             >HfO</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:math>}},
+    title =    {{Deep learning of accurate force field of ferroelectric  HfO2}},
     journal =  {Phys. Rev. B},
     year =     2021,
     volume =   103,
@@ -3733,10 +3729,7 @@ @Article{McMichael_PhysRevAppl_2022_v18_p054066
 
 @Article{McMichael_PhysRevAppl_2022_v18_p054022,
     author =   {Robert D McMichael and Sean M Blakley},
-    title =    {{Phonon Thermal Transport in  <mml:math
-             xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overfl
-             ow="scroll"><mml:msub><mml:mi>Bi</mml:mi><mml:mn>2</mml:mn></mml:msub>
-             <mml:msub><mml:mi>Te</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:math>
+    title =    {{Phonon Thermal Transport in  Bi2Te3
              from a Deep-Neural-Network Interatomic Potential}},
     journal =  {Phys. Rev. Appl.},
     year =     2022,
@@ -4285,12 +4278,8 @@ @Article{Fu_JMaterChemA_2023_v11_p742
 
 @Article{Li_PhysRevApplied_2022_v18_p064067,
     author =   {Tingwei Li and Peng-Hu Du and Ling Bai and Qiang Sun and Puru Jena},
-    title =    {{Thermoelectric Figure of Merit of a Superatomic Crystal  <mml:math
-             xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overfl
-             ow="scroll"><mml:msub><mml:mi>Re</mml:mi><mml:mn>6</mml:mn></mml:msub>
-             <mml:msub><mml:mi>Se</mml:mi><mml:mn>8</mml:mn></mml:msub><mml:msub><m
-             ml:mrow><mml:mrow><mml:mi mathvariant="normal">I</mml:mi></mml:mrow></
-             mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:math>  Monolayer}},
+    title =    {{Thermoelectric Figure of Merit of a Superatomic Crystal  ReSeI2
+                  Monolayer}},
     journal =  {Phys. Rev. Applied},
     year =     2022,
     volume =   18,
@@ -7400,9 +7389,7 @@ @Article{Yao_RSCAdv_2023_v13_p4565
 @Article{Deng_PhysRevB_2023_v107_p064103,
     author =   {Jie Deng and Haiyang Niu and Junwei Hu and Mingyi Chen and Lars
              Stixrude},
-    title =    {{Melting of  <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><
-             mml:mrow><mml:mi>MgSi</mml:mi><mml:msub><mml:mi mathvariant="normal">O
-             </mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math>
+    title =    {{Melting of  MgSiO3
              determined by machine learning potentials}},
     journal =  {Phys. Rev. B},
     year =     2023,
@@ -7965,10 +7952,7 @@ @Article{Thong_PhysRevB_2023_v107_p014101
     author =   {Hao-Cheng Thong and XiaoYang Wang and Jian Han and Linfeng Zhang and
              Bei Li and Ke Wang and Ben Xu},
     title =    {{Machine learning interatomic potential for molecular dynamics
-             simulation of the ferroelectric  <mml:math xmlns:mml="http://www.w3.or
-             g/1998/Math/MathML"><mml:mrow><mml:mi>KNb</mml:mi><mml:msub><mml:mi ma
-             thvariant="normal">O</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow><
-             /mml:math>  perovskite}},
+             simulation of the ferroelectric  KNbO3  perovskite}},
     journal =  {Phys. Rev. B},
     year =     2023,
     volume =   107,