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Tuan Anh Pham

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cond-mat.mtrl-sci1
  • cond-mat.str-el1
  • cs.CV1
ORCID 0000-0003-0025-7263

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedRobust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling

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

collaborators

3 papers

cs.CV2025

GeoDiff: Geometry-Guided Diffusion for Metric Depth Estimation

Tuan Pham, Thanh-Tung Le, Xiaohui Xie +1

We introduce a novel framework for metric depth estimation that enhances pretrained diffusion-based monocular depth estimation (DB-MDE) models with stereo vision guidance. While ex…

cond-mat.str-el2024

Distance-Dependent Evolution of Electronic States in Kagome- Honeycomb Lateral Heterostructures in FeSn

Tuan Anh Pham, Seoung-Hun Kang, Yasemin Ozbek +2

In this work, we demonstrate the formation and electronic influence of lateral heterointerfaces in FeSn containing Kagome and honeycomb layers. Lateral heterostructures offer spati…

cond-mat.mtrl-sci2023★ 3 cited

Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling

Ji Qi, Tsz Wai Ko, Brandon C. Wood +2

Machine learning interatomic potentials (MLIPs) enable the accurate simulation of materials at larger sizes and time scales, and play increasingly important roles in the computatio…

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