Flexible supercapacitors, as one of most promising emerging energy storage devices, are of
great interest owing to their high power density with great mechanical compliance, making …

Demand Response (DR) aims at improving the operation efficiency of power plants and
grids, and it constitutes an effective means of reducing grid risk during peak periods to ensure …

Global energy demand and environmental concerns have stimulated increasing efforts to
produce carbon-neutral fuels directly from renewable resources. Microbially derived aliphatic …

In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 infection
occurred in Wuhan, Hubei Province, China, and spread across China and beyond. On …

Large language models can encode a wealth of semantic knowledge about the world. Such
knowledge could be extremely useful to robots aiming to act upon high-level, temporally …

Designing highly efficient electrocatalysts for oxygen evolution reaction (OER) plays a key
role in the development of various renewable energy storage and conversion devices. In this …

The design and characterization of thermally activated delayed fluorescence (TADF)
materials for optoelectronic applications represents an active area of recent research in …

By transferring knowledge from large, diverse, task-agnostic datasets, modern machine
learning models can solve specific downstream tasks either zero-shot or with small task-specific …

A discussion of many of the recently implemented features of GAMESS (General Atomic and
Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library …

Large language models (LLMs) trained on code-completion have been shown to be
capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing …