Conceptio
›
Archive
›
Dbt
Dbt
metadata only
Machine learning interatomic potential study of grain boundaries thermal conductance and tensile strength in hexagonal boron nitride
Mortazavi, Bohayra et al.
Dbt · Papers
Open Source ↗
bibliography
ddc
maschinelleslernen
article, scholarlyarticle, ddc:620, bibliography, polykristall, wärmeleitung, maschinelles lernen
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Tracking Water Dynamics of a Temperate Forest Under Drought and Non‐Drought Conditions Using Active and Passive Microwave and Optical Remote Sensing
#965994
Synthesis and Characterization of a β‐Thio‐δ‐Diimine (BTDDI) and the Related Bimetallic Dimethylaluminium(III) Compound
#965995
Unlocking unexplained characteristics of MgO: a review by RILEM TC 311-MBC
#991499
On-demand inverse design of metamaterials via denoising diffusion probabilistic models
#991500
A practical Equivalent Linear Spring–Damper model for nonlinear soil–structure interaction under seismic loading
#991501
Record
· ID 991498
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.