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M. Bessa

9 papers hereh-index 222.8k citations51 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cond-mat.mes-hall3
  • math.NA2
same name
  • M. Bessa — 39 papers, h 12
  • M. Bessa — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedSpiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning

83 citations · 230 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cond-mat.mes-hall2023★ 32 cited

Centimeter-scale nanomechanical resonators with low dissipation

Andrea Cupertino, Dongil Shin, Leo Guo +3

High-aspect-ratio mechanical resonators are pivotal in precision sensing, from macroscopic gravitational wave detectors to nanoscale acoustics. However, fabrication challenges and…

cond-mat.mes-hall2023★ 38 cited

High-Strength Amorphous Silicon Carbide for Nanomechanics

Minxing Xu, Dongil Shin, Paolo M. Sberna +4

For decades, mechanical resonators with high sensitivity have been realized using thin-film materials under high tensile loads. Although there have been remarkable strides in achie…

cs.LG2023

iPINNs: Incremental learning for Physics-informed neural networks

Aleksandr Dekhovich, Marcel H. F. Sluiter, David M. J. Tax +1

Physics-informed neural networks (PINNs) have recently become a powerful tool for solving partial differential equations (PDEs). However, finding a set of neural network parameters…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.