Results 261 to 270 of about 1,114,269 (358)

A five-dimensional classical framework for gravitational and quantum phenomena. [PDF]

Sci Rep
Strubbe F.
europepmc   +1 more source

CAUSALITY AND RESPONSE THEORY(Session II : Chaos, The 1st Tohwa University International Meeting on Statistical Physics Theories, Experiments and Computer Simulations)

, 1996
Denis J. Evans, Debra J. Searles
openalex   +1 more source

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

Causality Across Domains: A Unified Framework in Physics and Neuroscience

Moninder Singh Modgil, Dnyandeo Dattatray Patil   +1 more
openalex   +2 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Entanglement Islands in 1D and 2D Lattices with Defects. [PDF]

Entropy (Basel)
Christov IP.
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

Narrative Co-Evolution in Hybrid Social Networks: A Longitudinal Computational Analysis of Confucius Institutes. [PDF]

Entropy (Basel)
Huang M, Wang JL, Zhang ZK.
europepmc   +1 more source

Causality Broken – Synthesizing Religion, Philosophy and Modern Physics, Confirming al-GhazÉlÊ’s Win in the Debate of the World’s PreEternity by Proving Delay in Effect

, 2018
Naseeb Ahmed Siddiqui
openalex   +1 more source