◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Nicholas E. Charron

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • physics.chem-ph1
  • q-bio.BM1
ORCID 0000-0002-9721-080X

identity via Semantic Scholar / OpenAlex

most citedNavigating protein landscapes with a machine-learned transferable coarse-grained model

6 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024★ 2 cited

Aria Everyday Activities Dataset

Zhaoyang Lv, Nicholas Charron, Pierre Moulon +21

We present Aria Everyday Activities (AEA) Dataset, an egocentric multimodal open dataset recorded using Project Aria glasses. AEA contains 143 daily activity sequences recorded by…

q-bio.BM2023★ 6 cited

Navigating protein landscapes with a machine-learned transferable coarse-grained model

Nicholas E. Charron, Felix Musil, Andrea Guljas +18

The most popular and universally predictive protein simulation models employ all-atom molecular dynamics (MD), but they come at extreme computational cost. The development of a uni…

physics.chem-ph2023★ 3 cited

Statistically Optimal Force Aggregation for Coarse-Graining Molecular Dynamics

Andreas Krämer, Aleksander P. Durumeric, Nicholas E. Charron +3

Machine-learned coarse-grained (CG) models have the potential for simulating large molecular complexes beyond what is possible with atomistic molecular dynamics. However, training…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.