Computational Modelling — Structure–Property Engineering of Redox-Active Tetrathiafulvalene- and Bipyridine-Based Metal–Organic Frameworks for Battery Cathodes

Measurement evidence

Computational Modelling

Structure–Property Engineering of Redox-Active Tetrathiafulvalene- and Bipyridine-Based Metal–Organic Frameworks for Battery Cathodes · Wakamatsu K., Oshima H., Kobayashi N. et al. · Chemistry - A European Journal · 2026

1 measurement group · 6 results

Reported values remain attached to the sample, method, conditions, extraction quality and source location that produced them.

DFT geometry optimisation and charge-carrier insertion

TTF-hybrid-MOF computational blank · Model

VASP 6.4; GGA-PBE; PAW; DFT-D3(BJ); 500 eV cutoff and 3x3x1 k-point mesh for geometry optimisation; 400 eV and 1x1x1 for screening

Geometry
periodic model
Context
computational model
Measurement source
S12 · 3.1-3.3 · Figures S16-S20/Table S6
PropertyReported valueNormalised valueUncertaintyOrigin and qualitySource
optimised cell volume s_ttf_hybrid_model_blank2111.67 A^3 (1.000)SI Table
Exact Reported
S46 · Table S6
optimised cell volume s_ttf_hybrid_model_clo42091.30 A^3 (0.990)SI Table
Exact Reported
S46 · Table S6
optimised cell volume s_ttf_hybrid_model_li2125.99 A^3 (1.007)SI Table
Exact Reported
S46 · Table S6
optimised cell volume s_ttf_hybrid_model_na2130.79 A^3 (1.009)SI Table
Exact Reported
S46 · Table S6
optimised cell volume s_ttf_hybrid_model_pf62105.44 A^3 (0.997)SI Table
Exact Reported
S46 · Table S6
single-ion insertion volume-change conclusionminute volume changes upon insertion of a single charge carrier (<1%)Text
Approximate
8 · Table S6