Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices (Adv. Mater. 14/2025)

Bayesian Optimization of Carbon Nanolattices Machine Learning designs new nanolattice geometries with the strength of carbon steel, but the density of Styrofoam, offering record strength-to-weight of lightweight materials. By implementing multi-objective Bayesian optimization in combination with two-photon polymerization and pyrolysis, these ultrahigh specific strength carbon nanolattices more than double the performance of benchmark materials. More details can be found in article number 2410651 by Peter Serles, Tobin Filleter, Seunghwa Ryu, and co-workers.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-04-01
DOI
https://doi.org/10.1002/adma.202570108
Citations
2
Primary Topic
Tribology and Wear Analysis
Type
article
Field-Weighted Citation Impact
1.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices (Adv. Mater. 14/2025)

Carlos M. Portela, Pedro Guerra Demingos, Shuo Yang, Jonathan Kong et al.
2 citations
Advanced Materials
Tribology and Wear Analysis
1.73
article

Ultrahigh Specific Strength by Bayesian Optimization of Carbon Nanolattices (Adv. Mater. 14/2025)

Carlos M. Portela, Pedro Guerra Demingos, Shuo Yang, Jonathan Kong, Pulickel Madhavapanicker Ajayan, Jane Y. Howe, Jinwook Yeo, Seunghwa Ryu, Somayajulu Dhulipala, Michel J.R. Haché, Yu Zou, Katherine Min Jia, Pascal Kiefer, Martin Wegener, Tobin Filleter, Chandra Veer Singh, Charles Q. Jia, Peter Serles, Tianjie Feng, Boran Kumral
article en
2 citations

Abstract

Bayesian Optimization of Carbon Nanolattices Machine Learning designs new nanolattice geometries with the strength of carbon steel, but the density of Styrofoam, offering record strength-to-weight of lightweight materials. By implementing multi-objective Bayesian optimization in combination with two-photon polymerization and pyrolysis, these ultrahigh specific strength carbon nanolattices more than double the performance of benchmark materials. More details can be found in article number 2410651 by Peter Serles, Tobin Filleter, Seunghwa Ryu, and co-workers.

Advanced MaterialsVol. 37(14)
Karlsruhe Institute of Technology (DE), Korea Advanced Institute of Science and Technology (KR), University of Toronto (CA), Massachusetts Institute of Technology (US), Rice University (US)
Openalex Percentile: Top 19%
Tribology and Wear Analysis
1.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.