Add author position (First/Co-first/Contributing) to publications; remove CV from nav

Author: Karasawa-Shin

_data/navigation.yml

@@ -16,6 +16,3 @@ main:
 
   - title: "Portfolio"
     url: /portfolio/
-         
-  - title: "CV"
-    url: /cv/

_publications/2023-04-01-deep-learning-magnetic-superstructures.md

@@ -3,7 +3,7 @@ title: "Deep-learning electronic-structure calculation of magnetic superstructur
 collection: publications
 category: manuscripts
 permalink: /publication/2023-04-01-deep-learning-magnetic-superstructures
-excerpt: 'Extending DeepH to magnetic materials with DFT accuracy.'
+excerpt: 'Co-first author. Extending DeepH to magnetic materials with DFT accuracy.'
 date: 2026-05-26
 venue: "Nat. Comput. Sci. <b>3</b>, 321-327 (2023) [Cover story]"
 paperurl: 'https://www.nature.com/articles/s43588-023-00424-3'

_publications/2024-01-01-deeph2.md

@@ -3,7 +3,7 @@ title: "DeepH-2: Enhancing deep-learning electronic structure via an equivariant
 collection: publications
 category: preprints
 permalink: /publication/2024-01-01-deeph2
-excerpt: 'New-generation deep-learning electronic Hamiltonian framework with equivariant transformer.'
+excerpt: 'Co-first author. New-generation deep-learning electronic Hamiltonian framework with equivariant transformer.'
 date: 2026-05-20
 venue: "arXiv:2401.17015"
 paperurl: 'https://arxiv.org/abs/2401.17015'

_publications/2024-03-01-deep-learning-dfpt.md

@@ -3,7 +3,7 @@ title: "Deep-learning density functional perturbation theory"
 collection: publications
 category: manuscripts
 permalink: /publication/2024-03-01-deep-learning-dfpt
-excerpt: 'Deep-learning DFPT for accelerating electron-phonon coupling calculations.'
+excerpt: 'Co-first author. Deep-learning DFPT for accelerating electron-phonon coupling calculations.'
 date: 2026-05-28
 venue: "Phys. Rev. Lett. <b>132</b>, 096401 (2024) [Editors&apos; suggestion]"
 paperurl: 'https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.132.096401'

_publications/2024-04-01-twisted-materials-deeph.md

@@ -3,7 +3,7 @@ title: "Deep-Learning Database of Density Functional Theory Hamiltonians for Twi
 collection: publications
 category: preprints
 permalink: /publication/2024-04-01-twisted-materials-deeph
-excerpt: 'Deep-learning DFT Hamiltonian database for twisted moire materials.'
+excerpt: 'Contributing author. Deep-learning DFT Hamiltonian database for twisted moire materials.'
 date: 2026-05-19
 venue: "arXiv:2404.06449"
 paperurl: 'https://arxiv.org/abs/2404.06449'

_publications/2024-06-01-density-matrix-deep-learning.md

@@ -3,7 +3,7 @@ title: "Improving density matrix electronic structure method by deep learning"
 collection: publications
 category: preprints
 permalink: /publication/2024-06-01-density-matrix-deep-learning
-excerpt: 'Deep-learning enhanced density matrix-based electronic structure methods.'
+excerpt: 'First author (co-first). Deep-learning enhanced density matrix-based electronic structure methods.'
 date: 2026-05-22
 venue: "arXiv:2406.17561"
 paperurl: 'https://arxiv.org/abs/2406.17561'

_publications/2024-07-01-real-space-dft-hamiltonian.md

@@ -3,7 +3,7 @@ title: "Deep learning density functional theory Hamiltonian in real space"
 collection: publications
 category: preprints
 permalink: /publication/2024-07-01-real-space-dft-hamiltonian
-excerpt: 'Deep-learning DFT Hamiltonians directly in real space, bypassing basis set limitations.'
+excerpt: 'Co-first author. Deep-learning DFT Hamiltonians directly in real space, bypassing basis set limitations.'
 date: 2026-05-21
 venue: "arXiv:2407.14379"
 paperurl: 'https://arxiv.org/abs/2407.14379'

_publications/2024-07-01-universal-materials-model.md

@@ -3,7 +3,7 @@ title: "Universal materials model of deep-learning density functional theory Ham
 collection: publications
 category: manuscripts
 permalink: /publication/2024-07-01-universal-materials-model
-excerpt: 'Universal materials model for deep-learning DFT Hamiltonians across diverse systems.'
+excerpt: 'Co-first author. Universal materials model for deep-learning DFT Hamiltonians across diverse systems.'
 date: 2026-05-25
 venue: "Sci. Bull. <b>69</b>, 2514 (2024) [Cover story]"
 paperurl: 'https://www.sciencedirect.com/science/article/pii/S2095927324004079'

_publications/2024-08-01-neural-nn-dft-variational.md

@@ -3,7 +3,7 @@ title: "Neural-network density functional theory based on variational energy min
 collection: publications
 category: manuscripts
 permalink: /publication/2024-08-01-neural-nn-dft-variational
-excerpt: 'Neural-network DFT incorporating physical principles via variational energy minimization.'
+excerpt: 'Co-first author. Neural-network DFT incorporating physical principles via variational energy minimization.'
 date: 2026-05-27
 venue: "Phys. Rev. Lett. <b>133</b>, 076401 (2024) [Editors&apos; suggestion]"
 paperurl: 'https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.133.076401'

_publications/2024-10-01-deep-hybrid-dft.md

@@ -3,7 +3,7 @@ title: "A deep equivariant neural network approach for efficient hybrid density
 collection: publications
 category: manuscripts
 permalink: /publication/2024-10-01-deep-hybrid-dft
-excerpt: 'Deep equivariant neural network for efficient hybrid DFT calculations.'
+excerpt: 'First author (co-first). Deep equivariant neural network for efficient hybrid DFT calculations.'
 date: 2026-06-01
 venue: "Nat. Commun. <b>15</b>, 8815 (2024)"
 paperurl: 'https://www.nature.com/articles/s41467-024-53028-4'