Results 141 to 150 of about 1,337,825 (313)

STRING THEORY, THE CRISIS IN PARTICLE PHYSICS AND THE ASCENT OF METAPHORIC ARGUMENTS [PDF]

, 2008
Bert Schroer
openalex   +1 more source

Prediction of Unified New Physics beyond Quantum Mechanics from the Feynman Path Integral: Elementary Cycles String Theory [PDF]

, 2021
Donatello Dolce
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

Glimmers of a connection between string theory and atomic physics [PDF]

, 2008
Shamit Kachru
openalex   +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

COMPACTIFIED STRING THEORIES — GENERIC PREDICTIONS FOR PARTICLE PHYSICS [PDF]

, 2012
B. S. Acharya, Gordon Kane, Piyush Kumar
openalex   +1 more source

Corrigendum to “On the heterotic string loop expansion” [Nuclear Physics B 803 (2008) 105–112]

, 2021
M. D. Pollock
openalex   +1 more source

Particle physics and cosmology of the string derived no-scale flipped SU(5) [PDF]

, 2022
Ignatios Antoniadis, D. V. Nanopoulos, J. Rizos   +2 more
openalex   +1 more source

Lowering the Entrance Hurdle for Lab Automation: An Artificial Intelligence‐Supported, Interactive Robotic Arm for Automated, Repeated Testing Procedures

Advanced Intelligent Systems, EarlyView.
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad, Philipp Auth, Tom Masselter, Thomas Speck   +3 more
wiley   +1 more source

Inflaton candidates: from string theory to particle physics

, 2018
K. Sravan Kumar
openalex   +2 more sources