Safe and sustainable by design with ML/AI: A transformative approach to advancing nanotechnology

• Georgia Melagraki

Beilstein J. Nanotechnol. 2026, 17, 176–185, doi:10.3762/bjnano.17.11

• materials before producing them. This perspective article highlights how ML and AI are driving the evolution of SSbD in nanotechnology, focussing on predictive toxicology, materials informatics, lifecycle analysis, and the pivotal role of digital twins. It also explores current challenges, emerging

• opportunities, and the path forward for integrating ML/AI-driven SSbD frameworks into regulatory and industrial practices. Keywords: digital twins; machine learning; materials informatics; safe and sustainable by design; Introduction Nanotechnology has fundamentally changed the landscape of materials science

• computational methods help deliver materials that meet performance demands without compromising human health or the environment. Materials informatics To date, materials informatics has been predominantly focussed on optimizing functionality, largely through materials acceleration platforms (MAPs) that combine

Soft materials nanoarchitectonics: liquid crystals, polymers, gels, biomaterials, and others

• Katsuhiko Ariga

Beilstein J. Nanotechnol. 2025, 16, 1025–1067, doi:10.3762/bjnano.16.77

Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies

• Fabio Le Piane,
• Mario Vozza,
• Matteo Baldoni and
• Francesco Mercuri

Beilstein J. Nanotechnol. 2024, 15, 1498–1521, doi:10.3762/bjnano.15.119

Interaction of graphene oxide with tannic acid: computational modeling and toxicity mitigation in C. elegans

• Romana Petry,
• James M. de Almeida,
• Francine Côa,
• Felipe Crasto de Lima,
• Diego Stéfani T. Martinez and
• Adalberto Fazzio

Beilstein J. Nanotechnol. 2024, 15, 1297–1311, doi:10.3762/bjnano.15.105

• Nanotechnologies (SisNANO/MCTI), Brazil-China Center for Research and Innovation on Nanotechnology (CBCIN/MCTI) , Brazilian national institutes (INCT-Materials Informatics, INCT-Nanocarbono, INCT-Inomat and INCTNanoAgro), Brazilian research funding institutions (FAPESP, CNPq), and H2020 CompSafeNano project. The

• /02317-2), Brazilian national institutes (INCT-Materials Informatics, INCT-Nanocarbono, INCT-Inomat and INCT-NanoAgro) and CompSafeNano-Brazil Project – Nanoinformatics approaches for safety and regulation of nanomaterials (CNPq Proc. No. 443735/2023-9). Conflict of Interest There are no conflicts to

Molecular nanoarchitectonics: unification of nanotechnology and molecular/materials science

• Katsuhiko Ariga

Beilstein J. Nanotechnol. 2023, 14, 434–453, doi:10.3762/bjnano.14.35

• methods such as artificial intelligence will make this possible in current science [143][144]. In fact, the fusion of nanoarchitectonics and materials informatics has been proposed [145]. Nanotechnology worked as a game changer. Nanoarchitectonics integrates nanotechnology and traditional sciences to a