Dynamical memristors for higher-complexity neuromorphic computing

S Kumar, X Wang, JP Strachan, Y Yang… - Nature Reviews …, 2022 - nature.com
Research on electronic devices and materials is currently driven by both the slowing down
of transistor scaling and the exponential growth of computing needs, which make present …

The digital revolution of Earth-system science

P Bauer, PD Dueben, T Hoefler, T Quintino… - Nature Computational …, 2021 - nature.com
Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

[HTML][HTML] Grand challenges in the design, manufacture, and operation of future wind turbine systems

P Veers, CL Bottasso, L Manuel… - Wind Energy …, 2023 - wes.copernicus.org
Wind energy is foundational for achieving 100% renewable electricity production, and
significant innovation is required as the grid expands and accommodates hybrid plant …

How machine learning will revolutionize electrochemical sciences

A Mistry, AA Franco, SJ Cooper, SA Roberts… - ACS energy …, 2021 - ACS Publications
Electrochemical systems function via interconversion of electric charge and chemical
species and represent promising technologies for our cleaner, more sustainable future …

[HTML][HTML] QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo

PRC Kent, A Annaberdiyev, A Benali… - The Journal of …, 2020 - pubs.aip.org
We review recent advances in the capabilities of the open source ab initio Quantum Monte
Carlo (QMC) package QMCPACK and the workflow tool Nexus used for greater efficiency …

Annealing-based quantum computing for combinatorial optimal power flow

T Morstyn - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
This paper proposes the use of annealing-based quantum computing for solving
combinatorial optimal power flow problems. Quantum annealers provide a physical …

EQSIM—A multidisciplinary framework for fault-to-structure earthquake simulations on exascale computers part I: Computational models and workflow

D McCallen, A Petersson, A Rodgers… - Earthquake …, 2021 - journals.sagepub.com
Computational simulations have become central to the seismic analysis and design of major
infrastructure over the past several decades. Most major structures are now “proof tested” …

From NWChem to NWChemEx: Evolving with the computational chemistry landscape

K Kowalski, R Bair, NP Bauman, JS Boschen… - Chemical …, 2021 - ACS Publications
Since the advent of the first computers, chemists have been at the forefront of using
computers to understand and solve complex chemical problems. As the hardware and …

Reinventing high performance computing: challenges and opportunities

D Reed, D Gannon, J Dongarra - arXiv preprint arXiv:2203.02544, 2022 - arxiv.org
The world of computing is in rapid transition, now dominated by a world of smartphones and
cloud services, with profound implications for the future of advanced scientific computing …

Modeling of hierarchical solidification microstructures in metal additive manufacturing: Challenges and opportunities

S Ghosh, J Zollinger, M Zaloznik, D Banerjee… - Additive …, 2023 - Elsevier
Metal-based additive manufacturing (AM) processes often produce parts with improved
properties compared to conventional manufacturing and metal working routes. However …