Results 131 to 140 of about 266,938 (298)

Access to Finance and Innovation in the Canadian Food Processing

open access: yesAgribusiness, EarlyView.
ABSTRACT Innovation is a presumed channel through which finance affects productivity, yet there is limited research testing the relationship between finance and innovation in the food manufacturing sector. The purpose of the paper is to explore the determinants (e.g., financing, R&D, firm size, expenditure on innovation) of the adoption of innovation ...
Getu Hailu, Deepananda Herath
wiley   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob   +2 more
wiley   +1 more source

Tunable quantum criticalities in an isospin extended Hubbard model simulator. [PDF]

open access: yesNature, 2022
Li Q   +15 more
europepmc   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Robust charge-density-wave correlations in the electron-doped single-band Hubbard model. [PDF]

open access: yesNat Commun, 2023
Mai P   +6 more
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun   +8 more
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen   +13 more
wiley   +1 more source

Stripe order enhanced superconductivity in the Hubbard model. [PDF]

open access: yesProc Natl Acad Sci U S A, 2022
Jiang HC, Kivelson SA.
europepmc   +1 more source

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