Designing crystallization in phase-change materials for universal memory and neuro-inspired computing

W Zhang, R Mazzarello, M Wuttig, E Ma - Nature Reviews Materials, 2019 - nature.com
The global demand for data storage and processing has increased exponentially in recent
decades. To respond to this demand, research efforts have been devoted to the …

Machine learning interatomic potentials as emerging tools for materials science

VL Deringer, MA Caro, G Csányi - Advanced Materials, 2019 - Wiley Online Library
Atomic‐scale modeling and understanding of materials have made remarkable progress,
but they are still fundamentally limited by the large computational cost of explicit electronic …

Visualizing interfacial collective reaction behaviour of Li–S batteries

S Zhou, J Shi, S Liu, G Li, F Pei, Y Chen, J Deng… - Nature, 2023 - nature.com
Benefiting from high energy density (2,600 Wh kg− 1) and low cost, lithium–sulfur (Li–S)
batteries are considered promising candidates for advanced energy-storage systems …

Insights into the activity of single-atom Fe-NC catalysts for oxygen reduction reaction

K Liu, J Fu, Y Lin, T Luo, G Ni, H Li, Z Lin… - Nature …, 2022 - nature.com
Single-atom Fe-NC catalysts has attracted widespread attentions in the oxygen reduction
reaction (ORR). However, the origin of ORR activity on Fe-NC catalysts is still unclear, which …

Phase-change heterostructure enables ultralow noise and drift for memory operation

K Ding, J Wang, Y Zhou, H Tian, L Lu, R Mazzarello… - Science, 2019 - science.org
Artificial intelligence and other data-intensive applications have escalated the demand for
data storage and processing. New computing devices, such as phase-change random …

Reducing the stochasticity of crystal nucleation to enable subnanosecond memory writing

F Rao, K Ding, Y Zhou, Y Zheng, M **a, S Lv, Z Song… - Science, 2017 - science.org
Operation speed is a key challenge in phase-change random-access memory (PCRAM)
technology, especially for achieving subnanosecond high-speed cache memory …

[HTML][HTML] CP2K: An electronic structure and molecular dynamics software package-Quickstep: Efficient and accurate electronic structure calculations

TD Kühne, M Iannuzzi, M Del Ben, VV Rybkin… - The Journal of …, 2020 - pubs.aip.org
CP2K is an open source electronic structure and molecular dynamics software package to
perform atomistic simulations of solid-state, liquid, molecular, and biological systems. It is …

Machine learning based interatomic potential for amorphous carbon

VL Deringer, G Csányi - Physical Review B, 2017 - APS
We introduce a Gaussian approximation potential (GAP) for atomistic simulations of liquid
and amorphous elemental carbon. Based on a machine learning representation of the …

i-PI 2.0: A universal force engine for advanced molecular simulations

V Kapil, M Rossi, O Marsalek, R Petraglia… - Computer Physics …, 2019 - Elsevier
Progress in the atomic-scale modeling of matter over the past decade has been tremendous.
This progress has been brought about by improvements in methods for evaluating …

Molecular origin of negative component of Helmholtz capacitance at electrified Pt (111)/water interface

JB Le, QY Fan, JQ Li, J Cheng - Science advances, 2020 - science.org
Electrified solid/liquid interfaces are the key to many physicochemical processes in a myriad
of areas including electrochemistry and colloid science. With tremendous efforts devoted to …