32 citations · 37 across the 8 of their papers we have counts for
8 papers
Scientific discovery as meta-optimization: a combinatorial optimization case study
Yuan-Hang Zhang, Chesson Sipling, Massimiliano Di Ventra
Scientific discovery is fundamentally an optimization problem, defined by a vast "state space" of theories and experiments, and an evaluation criterion based on quality, novelty, a…
CrSe_2 and CrTe_2 Monolayers as Efficient Air Pollutants Nanosensors
Hakkim Vovusha, Puspamitra Panigrahi, Yash Pal +4
Nanosensors are critical in environmental monitoring, industrial safety, and public health by detecting specific hazardous gases like CO, NO, SO_2, and CH_4 at trace levels. This s…
On the solvable-unsolvable transition due to noise-induced chaos in digital memcomputing
Dyk Chung Nguyen, Thomas Chetaille, Yuan-Hang Zhang +2
Digital memcomputing machines (DMMs) have been designed to solve complex combinatorial optimization problems. Since DMMs are fundamentally classical dynamical systems, their ordina…
A Generative Neural Annealer for Black-Box Combinatorial Optimization
Yuan-Hang Zhang, Massimiliano Di Ventra
We propose a generative, end-to-end solver for black-box combinatorial optimization that emphasizes both sample efficiency and solution quality on NP problems. Drawing inspiration…
Chirality-induced Spin-Orbit Coupling and Spin Selectivity
Massimiliano Di Ventra, Rafael Gutierrez, Gianaurelio Cuniberti
We show that a spinor traveling along a one-dimensional helical path develops a spin-orbit coupling as a result of the curvature of the path. We estimate the magnitude of the assoc…
Memory in neural activity: long-range order without criticality
Jay Sun, Chesson Sipling, Yuan-Hang Zhang +1
The "criticality hypothesis", based on observed scale-free correlations in neural activity, posits that the brain operates at a critical point of transition between two phases. How…