◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

H. Sauceda

4 papers hereh-index 166.6k citations37 works total

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

author position
  • last author4

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

fields
  • cond-mat.mtrl-sci2
  • physics.chem-ph2

identity via Semantic Scholar / OpenAlex

collaborators
Showing cond-mat.mtrl-sciShow all

2 papers · 1 filter

cond-mat.mtrl-sci2026

Characterizing High-Capacity Janus Aminobenzene-Graphene Anode for Sodium-Ion Batteries with Machine Learning

Claudia Islas-Vargas, L. Ricardo Montoya, Carlos A. Vital-José +3

Sodium-ion batteries require anodes that combine high capacity, low operating voltage, fast Na-ion transport, and mechanical stability, which conventional anodes struggle to delive…

cond-mat.mtrl-sci2025

Machine Learned Force Fields: Fundamentals, its reach, and challenges

Carlos A. Vital, Román J. Armenta-Rico, Huziel E. Sauceda

Highly accurate force fields are a mandatory requirement to generate predictive simulations. In this regard, Machine Learning Force Fields (MLFFs) have emerged as a revolutionary a…

◍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.