Nam Q. Le

Mathematics · Indiana University

Geometric Analysis and Curvature Flows Geometry and complex manifolds Nonlinear Partial Differential Equations Advanced Mathematical Modeling in Engineering Thermal properties of materials

Publications

192

Citations

1,056

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 1998

Research summary

AI-generated

Nam Q. Le works in mathematical analysis, focusing on partial differential equations, particularly the Monge-Ampère equation, a nonlinear equation that arises in geometry and optimal transport. Their research develops estimates, variational methods, and eigenvalue theory for these equations on convex domains. (Note: the provided publication list also contains many entries from unrelated fields such as chemistry and biology, which likely reflect a name collision in the source data.)

Monge-Ampère equationsNonlinear partial differential equationsGeometric analysis and curvature flowsEigenvalue problems and estimatesConvex geometry

The mathematics-focused output has appeared steadily over the last decade, with a recent cluster of preprints and journal articles in 2024-2026 (though overall counts are inflated by publications from unrelated fields likely due to name ambiguity).

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 14.4/year recently

Recent publications

Global Lipschitz and Sobolev estimates for the Monge–Ampère eigenfunctions of general bounded convex domains
Annales de la faculté des sciences de Toulouse Mathématiques · 2026
A Variational Approach to Degenerate Monge--Ampère Equations with Mixed Measures and Monotonicity
arXiv (Cornell University) · 2026
A Variational Approach to Degenerate Monge--Ampère Equations with Mixed Measures and Monotonicity
arXiv (Cornell University) · 2026
Polypharmacology of S-1117, an Fc-fused IgG-selective degrading enzyme, for chronic treatment of autoantibody-mediated diseases
Proceedings of the National Academy of Sciences · 2026
Multitask Pretraining Framework for Improving Predictivity of Machine Learning Chemical Bioactivity Models for Low-Data Endpoints
Chemical Research in Toxicology · 2026
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
arXiv (Cornell University) · 2026
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
arXiv (Cornell University) · 2026
On the equality case in the Brunn-Minkowski inequality for the Monge-Ampère eigenvalue
arXiv (Cornell University) · 2026
On the equality case in the Brunn-Minkowski inequality for the Monge-Ampère eigenvalue
arXiv (Cornell University) · 2026
Degradation of chemical warfare simulants over CeO <sub>2</sub> and Gd-doped CeO <sub>2</sub> aerogels: divergent results of DMMP and DFP
RSC Applied Interfaces · 2025
Ternary materials discovery using human-in-the-loop generative machine learning
RSC Advances · 2025
The influence of surface coating on PFAS filter performance
The Journal of Chemical Physics · 2025
VN1K: a genome graph-based and function-driven multi-omics and phenomics resource for the Vietnamese population
bioRxiv (Cold Spring Harbor Laboratory) · 2025
Multiple Placental Abruptions With Fetal Loss: A Case Report and Review of the Literature
Cureus · 2025
Large dimension behavior of the Hessian eigenvalues of the unit balls
arXiv (Cornell University) · 2025

Publishes in

arXiv (Cornell University)×40
Graduate studies in mathematics×16
Lecture notes in mathematics×8
The Journal of Physical Chemistry C×3
SSRN Electronic Journal×3

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile