Results 191 to 200 of about 475,776 (345)

BRST QUANTIZATION AND QUASI-FREE FIELD THEORY FOR THE KRICHEVER-NOVIKOV STRING

open access: hybrid, 1989
Kaiwen Xu   +2 more
openalex   +1 more source

Gauss’ Law and string-localized quantum field theory [PDF]

open access: diamond, 2020
Jens Mund   +2 more
openalex   +1 more source

Effects of Environmental and Health Information on Willingness to Pay for Local and Organic Foods in Taiwan

open access: yesAgribusiness, EarlyView.
ABSTRACT Using a lab‐in‐the‐field experiment, we investigate how providing information about food miles and pesticide residue influences willingness to pay (WTP) for potatoes among 407 shoppers in Taiwan, split between a supermarket and a farmers market.
Chiu‐Lin Huang   +3 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Topics in String Theory and Quantum Gravity

open access: yes, 1992
These are the lecture notes for the Les Houches Summer School on Quantum Gravity held in July 1992. The notes present some general critical assessment of other (non-string) approaches to quantum gravity, and a selected set of topics concerning what we ...
Alvarez-Gaume, L., Vazquez-Mozo, M. A.
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

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