[HTML][HTML] Topology optimization of multi-scale structures: a review

J Wu, O Sigmund, JP Groen - Structural and Multidisciplinary Optimization, 2021 - Springer
Multi-scale structures, as found in nature (eg, bone and bamboo), hold the promise of
achieving superior performance while being intrinsically lightweight, robust, and multi …

Density functional theory for electrocatalysis

X Liao, R Lu, L Xia, Q Liu, H Wang… - Energy & …, 2022 - Wiley Online Library
It is a considerably promising strategy to produce fuels and high‐value chemicals through
an electrochemical conversion process in the green and sustainable energy systems …

Machine-learning interatomic potentials for materials science

Y Mishin - Acta Materialia, 2021 - Elsevier
Large-scale atomistic computer simulations of materials rely on interatomic potentials
providing computationally efficient predictions of energy and Newtonian forces. Traditional …

Perspective: Advances, challenges, and insight for predictive coarse-grained models

WG Noid - The Journal of Physical Chemistry B, 2023 - ACS Publications
By averaging over atomic details, coarse-grained (CG) models provide profound
computational and conceptual advantages for studying soft materials. In particular, bottom …

[HTML][HTML] The status, barriers, challenges, and future in design for 4D printing

F Demoly, ML Dunn, KL Wood, HJ Qi, JC André - Materials & Design, 2021 - Elsevier
The combination of scientific advances in additive manufacturing (AM) and smart materials
(SMs) has enabled the development of a new interdisciplinary research area: 4D printing …

[HTML][HTML] Towards developing multiscale-multiphysics models and their surrogates for digital twins of metal additive manufacturing

DR Gunasegaram, AB Murphy, A Barnard… - Additive …, 2021 - Elsevier
Artificial intelligence (AI) embedded within digital models of manufacturing processes can be
used to improve process productivity and product quality significantly. The application of …

Elucidation of collagen amino acid interactions with metals (B, Ni) encapsulated graphene/PEDOT material: insight from DFT calculations and MD simulation

RA Timothy, H Louis, EA Adindu, TE Gber… - Journal of Molecular …, 2023 - Elsevier
Collagen amino acids play a pivotal role as essential building blocks within diverse
biological structures. Exploring their interactions with composite materials holds the potential …

Quo vadis multiscale modeling in reaction engineering?–A perspective

GD Wehinger, M Ambrosetti, R Cheula, ZB Ding… - … Research and Design, 2022 - Elsevier
This work reports the results of a perspective workshop held in summer 2021 discussing the
current status and future needs for multiscale modeling in reaction engineering. This …

Machine learning-driven multiscale modeling: bridging the scales with a next-generation simulation infrastructure

HI Ingólfsson, H Bhatia, F Aydin… - Journal of Chemical …, 2023 - ACS Publications
Interdependence across time and length scales is common in biology, where atomic
interactions can impact larger-scale phenomenon. Such dependence is especially true for a …

Workflow engineering in materials design within the battery 2030+ project

J Schaarschmidt, J Yuan, T Strunk… - Advanced Energy …, 2022 - Wiley Online Library
In recent years, modeling and simulation of materials have become indispensable to
complement experiments in materials design. High‐throughput simulations increasingly aid …