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

Advanced 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

Mock Modularity at Work, or Black Holes in a Forest. [PDF]

Entropy (Basel)
Alexandrov S.
europepmc   +1 more source

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

Advanced 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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Entanglement and the density matrix renormalization group in the generalized Landau paradigm. [PDF]

Nat Phys
Lootens L, Delcamp C, Verstraete F, Verstraete F.   +3 more
europepmc   +1 more source

Open/Closed String Dualities and Seiberg Duality from Geometric Transitions in M-theory [PDF]

, 2002
Keshav Dasgupta, Kyungho Oh, Radu Tǎtar
openalex   +1 more source

The Impact of the Parental Patterns of Morbidity and Comorbidity in the Cross‐Generational Transmission of Risk for Major Depression and Alcohol Use Disorder

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT To further understand the inter‐relationship of the familial transmission of major depression (MD) and alcohol use disorder (AUD), we examine, via a multivariable Cox proportional hazards model, risks for AUD and MD in 1,244,516 individuals born in Sweden from 1970 to 1990 to intact mother–father pairs as a function of parental diagnoses of MD
Kenneth S. Kendler, Linda Abrahamsson, Jan Sundquist, Kristina Sundquist   +3 more
wiley   +1 more source

A string theoretic derivation of gibbons-hawking entropy. [PDF]

Gen Relativ Gravit
Dvali G.
europepmc   +1 more source

C2 generalization of the van Diejen model from the minimal (D5,D5) conformal matter. [PDF]

Lett Math Phys, 2023
Nazzal B, Nedelin A.
europepmc   +1 more source

Effective string action for the U(1)×U(1) dual Ginzburg–Landau theory beyond the London limit [PDF]

, 2002
Yoshiaki Koma, Miho Koma, Dietmar Ebert, H. Toki   +3 more
openalex   +1 more source

The issues caused by misinformation—How workers and organizations deal with it: A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract In today's digital age, misinformation propagates rapidly through digital channels, blurring the lines between truth and fiction, and challenging the foundations of trust in information sources. Although affecting all spheres of life, misinformation poses a significant threat to workers highlighting a critical intersection between ...
Ashwani Malhotra, Nina Evans, Jing Gao, Jia Tina Du, Connie Zheng   +4 more
wiley   +1 more source