AI for nanomaterials development in clean energy and carbon capture, utilization and storage (CCUS)

H Chen, Y Zheng, J Li, L Li, X Wang - ACS nano, 2023 - ACS Publications
Zero-carbon energy and negative emission technologies are crucial for achieving a carbon
neutral future, and nanomaterials have played critical roles in advancing such technologies …

Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective

X Xue, H Sun, M Yang, X Liu, HY Hu, Y Deng… - Analytical …, 2023 - ACS Publications
The interpretation of spectral data, including mass, nuclear magnetic resonance, infrared,
and ultraviolet–visible spectra, is critical for obtaining molecular structural information. The …

Graphs and Kernelized Learning Applied to Interactions of Hydrogen with Doped Gold Nanoparticle Electrocatalysts

A Pihlajamäki, S Malola… - The Journal of …, 2023 - ACS Publications
Understanding hydrogen adsorption on metal nanoparticles is a key prerequisite for
designing efficient electrocatalysts for water splitting and the hydrogen evolution reaction …

Emerging Directions for Carbon Capture Technologies: A Synergy of High-Throughput Theoretical Calculations and Machine Learning

Q Lei, L Li, H Chen, X Wang - Environmental Science & …, 2023 - ACS Publications
As the world grapples with the challenges of energy transition and industrial
decarbonization, the development of carbon capture technologies presents a promising …

Luminescent carbon dots versus quantum dots and gold nanoclusters as sensors

JSA Devi, SM Anju, GM Lekha, RS Aparna… - Nanoscale …, 2024 - pubs.rsc.org
The ultra-small nanoparticles, including quantum dots, gold nanoclusters (AuNCs) and
carbon dots (CDs), have emerged as a promising class of fluorescent material because of …

Discovering Syntheses of Atomically Precise Metal Nanoclusters by Applying Machine Learning to a High‐Throughput Platform

L Tang, L Wang, B Wang, Y Pei… - Chemistry–A European …, 2024 - Wiley Online Library
Understanding the complete structure of noble metal nanoclusters is both academically and
practically significant. However, progress has been hindered by the low synthetic efficiency …

Applications and potentials of machine learning in optoelectronic materials research: An overview and perspectives

CZ Zhang, FU Xiao-Qian - Chinese Physics B, 2023 - iopscience.iop.org
Optoelectronic materials are essential for today's scientific and technological development,
and machine learning provides new ideas and tools for their research. In this paper, we first …