Results 241 to 250 of about 6,694,171 (343)

Mechanism of wellbore instability considering tubular-string contact with the wellbore wall. [PDF]

Sci Rep
Zhou Y, Zhang H, Wu Y, Li X, Xi C, Lv K, Zhang H, Wang X.   +7 more
europepmc   +1 more source

Toward efficient quantum computation of molecular ground‐state energies

AIChE Journal, EarlyView.
Abstract Variational quantum eigensolvers (VQEs) represent a promising approach to computing molecular ground states and energies on modern quantum computers. These approaches use a classical computer to optimize the parameters of a trial wave function, while the quantum computer simulates the energy by preparing and measuring a set of bitstring ...
Farshud Sorourifar, Mohamed Taha Rouabah, Nacer Eddine Belaloui, Mohamed Messaoud Louamri, Diana Chamaki, Erik J. Gustafson, Norm M. Tubman, Joel A. Paulson, David E. Bernal Neira   +8 more
wiley   +1 more source

Effects of modified woods saxon potential on quantum dynamics of spin 0 scalar particle in a cosmic string spacetime. [PDF]

Sci Rep
Ahmed F, Bouzenada A.
europepmc   +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

HTA - An open-source software for assigning head and tail positions to monomer SMILES in polymerization reactions. [PDF]

J Cheminform
de Souza Ferrari B, Giro R, Steiner MB.
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

Entropy Modifications of Charged Accelerating Anti-de Sitter Black Hole. [PDF]

Entropy (Basel)
Wang C, Zhang J, Yang SZ.
europepmc   +1 more source

Towards universal axion inflation and reheating in string theory [PDF]

, 2014
R. Blumenhagen, Erik Plauschinn
semanticscholar   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Design and validation of a rapid visual processing measure for screening reading difficulties in early childhood. [PDF]

Behav Res Methods
Ramamurthy M, Kanopka K, Richie-Halford A, Domingue BW, Pei F, Bell P, Yan L, Hartsough A, Gorno-Tempini ML, Yeatman JD.   +9 more
europepmc   +1 more source