◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Calero

4 papers hereh-index 29 citations6 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3
  • cs.AI1
same name
  • S. Calero — 2 papers, h 9
  • S. Calero — 1 paper, h 1

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

collaborators

4 papers

cond-mat.mtrl-sci2026

A Dataset of Equilibrium State Configurations of Adsorption in Zeolites

Marko Petković, Rachna Ramesh, Vlado Menkovski +1

Zeolites are crystalline nanoporous materials widely used in adsorption, separation, and catalytic processes. Molecular simulations are commonly used to predict adsorption properti…

cond-mat.mtrl-sci2025

Enhancing Direct Air Capture through Potassium Carbonate Doping of Activated Carbons

N. van Dongen, A. J. F. van Hoof, S. Calero +1

Direct air capture of carbon dioxide (CO2​) is one of the most promising strategies to mitigate rising atmospheric CO2​ levels. Among various techniques, adsorption using porou…

cs.AI2025

Towards Fully Automated Molecular Simulations: Multi-Agent Framework for Simulation Setup and Force Field Extraction

Marko Petković, Vlado Menkovski, Sofía Calero

Automated characterization of porous materials has the potential to accelerate materials discovery, but it remains limited by the complexity of simulation setup and force field sel…

cond-mat.mtrl-sci2025

Symmetry-Informed Graph Neural Networks for Carbon Dioxide Isotherm and Adsorption Prediction in Aluminum-Substituted Zeolites

Marko Petković, José-Manuel Vicent Luna, El\=ıza Beate Dinne +2

Accurately predicting adsorption properties in nanoporous materials using Deep Learning models remains a challenging task. This challenge becomes even more pronounced when attempti…

◍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.