collaborators

6 papers

math.CO2026

A 3-semi-perfect 1-factorization of the six-dimensional hypercube

Guillaume Lambard

For a 1-factorization of the hypercube , let have vertex set , with an edge exactly when is a Hamilton cycle. Behague p…

cond-mat.mtrl-sci2026

Finetuning-Free Diffusion Model with Adaptive Constraint Guidance for Inorganic Crystal Structure Generation

Auguste de Lambilly, Vladimir Baturin, David Portehault +4

Generative diffusion models have emerged as powerful tools for the discovery of inorganic crystal structures, yet steering their sampling process toward user-defined physical and c…

cond-mat.mtrl-sci2026

Beyond Structure: Revolutionising Materials Discovery via AI-Driven Synthesis Protocol-Property Relationships

Guillaume Lambard

The current structure-centric paradigm in artificial intelligence (AI)-driven materials discovery, despite delivering thousands of candidate structures, is stalling at a critical b…

cs.AI2025

Quantum-Aware Generative AI for Materials Discovery: A Framework for Robust Exploration Beyond DFT Biases

Mahule Roy

Conventional generative models for materials discovery are predominantly trained and validated using data from Density Functional Theory (DFT) with approximate exchange-correlation…

math.NT2025

An Analytical Exploration of the Erdös-Moser Equation Using Approximation Methods

Guillaume Lambard

The Erdös-Moser equation is a longstanding challenge in number theory, with the only known integer solution being . Here, we inve…

physics.comp-ph2025

Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering

Christophe Bajan, Guillaume Lambard

The integration of artificial intelligence into various domains is rapidly increasing, with Large Language Models (LLMs) becoming more prevalent in numerous applications. This work…