4 papers
Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles
MikoÅaj J. Gawkowski, Nongnuch Artrith, Silvia Bonfanti +14
Foundation machine learning interatomic potentials (MLIPs) are increasingly being used as drop-in replacements for first-principles calculations, enabling simulations of materials…
Journal Research Data Policies in Materials Science
Lukas Hörmann, Hemanadhan Myneni, Rwayda Kh. S. Al-Hamd +17
Open and reproducible research in materials science relies on the availability of data, code, and common metadata standards. Journal research data policies (RDPs) remain a primary…
Kinetic energy constructed from exact gradient expansion of second order in uniform gas limit
Abhishek Bhattacharjee, Hemanadhan Myneni, Manoj K. Harbola +1
Orbital-Free Density Functional Theory (OFDFT) has re-emerged as a viable alternative to Kohn-Sham DFT, driven by recent advances in kinetic energy density functionals (KEDFs). Non…
Localised and Delocalised Charge Distribution in a Diamine Cation and Rydberg Excited State: A Challenging Test for Density Functionals
Benedikt O. Birgisson, Marta GaÅyÅska, Hemanadhan Myneni +3
The balance between localised and delocalised electron distribution in the N,N'-dimethylpiperazine (DMP) molecule in the 3s Rydberg excited state and in the fully ionised DMP p…