SINGLE-MODEL UNCERTAINTY QUANTIFICATION IN NEURAL NETWORK POTENTIALS DOES NOT CONSISTENTLY OUTPERFORM MODEL ENSEMBLES

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

Abstract Neural networks (NNs) often assign high confidence to their predictions, even for points far out of distribution, making uncertainty quantification (UQ) a challenge.When they are employed to model interatomic potentials in materials systems, this problem leads to unphysical structures that disrupt simulations, or to biased statistics and d

read more

Blast Demolition Study of Guyed Masts

Demolition of guyed masts is usually carried out by cutting down some of the supporting guy cables using an explosive in such a way that the mast can fall into the desired direction.Without the cable supports, guyed tubular masts are very slender structures which are susceptible to local buckling based on the internal force distribution.If this loc

read more


Encapsulating Ultrafine In2O3 Particles in Carbon Nanofiber Framework as Superior Electrode for Lithium-Ion Batteries

Indium oxide (In2O3) is a promising anode material for next-generation lithium-ion batteries and is prized for its high electrical conductivity, environmental friendliness, and high theoretical capacity.However, its practical application is significantly limited by severe volume expansion and contraction during the lithium insertion/extraction proc

read more