Resource-efficient quantum algorithms for Hamiltonian subspace diagonalization can be applied to simulate hydrogen transport kinetics in hydrogen embrittlement models, improving predictions of ductile fracture under varying environmental conditions.
Adversarial Debate Score
57% survival rate under critique
Model Critiques
Supporting Research Papers
- Proton Quantum Effects in H₃S Electronic Structure: A Multicomponent DFT study via Nuclear-Electronic Orbital Method
We investigate the impact of the quantum effects of protons on the electronic structure of high-pressure H₃S, a benchmark hydrogen-rich superconductor with a critical temperature (T_c) exceeding 200 K...
- Integrated techno-enviroeconomic and life-cycle assessment of a solar-green hydrogen hybrid system with industrial wastewater reuse.
- A coupled fully kinetic hydrogen transport and ductile phase-field fracture framework for modeling hydrogen embrittlement
Modeling hydrogen embrittlement (HE) is a long-standing engineering challenge, which has experienced significant developments in recent years. Yet, there is a gap in modeling the effect of the kinetic...
- Machine Learning for analysis of Multiple Sclerosis cross-tissue bulk and single-cell transcriptomics data
Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-to-end machine learn...
- Universal Persistent Brownian Motions in Confluent Tissues
Biological tissues are active materials whose non-equilibrium dynamics emerge from distinct cellular force-generating mechanisms. Using a two-dimensional active foam model, we compare the effects of t...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.