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 …

Wind energy is foundational for achieving 100% renewable electricity production, and
significant innovation is required as the grid expands and accommodates hybrid plant …

Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

Electrochemical systems function via interconversion of electric charge and chemical
species and represent promising technologies for our cleaner, more sustainable future …

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 …

Metal-based additive manufacturing (AM) processes often produce parts with improved
properties compared to conventional manufacturing and metal working routes. However …

This paper proposes the use of annealing-based quantum computing for solving
combinatorial optimal power flow problems. Quantum annealers provide a physical …

Optimized power system planning and operation are core to delivering a low-cost and high-
reliability transition path to net-zero carbon emissions. The major technological changes …

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” …

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 …