Results 161 to 170 of about 458,083 (347)

Vertex operator in String Theory on Orbifold: Intertwining Fields between Different Sectors in the Fock Space Representation [PDF]

, 1987
Hirofumi Muratani
openalex   +1 more source

Machine Learning for Organic Fluorescent Materials

Aggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong, Wei Zhu, Shoutao Shen, Nan Zhou, Meiyang Xi, Kui Du, Dong Wang, Ben Zhong Tang   +7 more
wiley   +1 more source

Elucidating Ligand Exchange Dynamics of Hexacyanochromate‐Based Redox Mediators in Aqueous Iron‐Chromium Redox Flow Batteries

Angewandte Chemie, EarlyView.
The ligand exchange between cyanide and hydroxide in hexacyanochromate negolyte was caused by the disruption of coordination environment of the redox mediator ([Cr(CN)6]4‐/3−), with a critical factor as an elevated pH during electrochemical cycle. To mitigate this electrolyte co‐modulation strategy is introduced, optimizing the [OH−]/[CN−] ratios ...
Ji‐Eun Jang, Vithiya Muralidharan, Yoon Seong Kim, Hyunwoo Kim, Jungki Ryu, Guihua Yu, Dong‐Hwa Seo, Hyun‐Wook Lee   +7 more
wiley   +2 more sources

Fermionic External Field and Space Compactification in the Heterotic String Theory [PDF]

, 1988
H. Katagami, Gaku Konisi, Wataru Takahasi   +2 more
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

NON-RELATIVISTIC FERMIONS, COADJOINT ORBITS OF W_∞ AND STRING FIELD THEORY AT c=1 [PDF]

, 1992
Avinash Dhar, Gautam Mandal, Spenta R. Wadia   +2 more
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

Asymptotic symmetries in the $TsT/T\bar{T}$ correspondence

SciPost Physics
Starting from holography for IIB string theory on AdS$_3× \mathcal N$ with NS-NS flux, the TsT/$T\bar T$ correspondence is a conjecture that a TsT transformation on the string theory side is holographically dual to the single-trace version of the $T\bar ...
Zhengyuan Du, Wen-Xin Lai, Kangning Liu, Wei Song
doaj   +1 more source

Supersymmetric Gauge Field Theory and String Theory [PDF]

, 1994
David Bailin, A. Love
openalex   +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