Results 171 to 180 of about 11,756,121 (296)

The maximum Randic index of chemical trees with k pendants

Discrete Mathematics, 2009
Wai Shiu, Lianzhu Zhang
semanticscholar   +1 more source

Chemical Literature

, 1968
Quarterly supplement for "the regular journals of the American Chemical Society," containing annotated bibliographies of chemical documentation literature as well as information about meetings, conferences, awards, scholarships, and other news from the ...
American Chemical Society. Division of Chemical Literature., Cortelyou, Ethaline   +1 more
core  

Chemical Characteristics of Australian Trees [PDF]

Nature, 1923
openaire   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Tree selection in urban greening shapes air quality for global cities. [PDF]

Sci Adv
He X, Yuan B, Huangfu Y, de Gouw J, Wang S, Yang S, Peng Y, Parrish DD, Li X, Chang M, Mo Z, Min KE, Nam W, Chen Y, Zhang X, Qi J, Xie Q, Chen W, Guenther A, Wang X, Worsnop D, Karl T, Shao M.   +22 more
europepmc   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Impact of Angiosperm Tree-Derived Allelochemicals on Physiological Responses of Acceptor Plants-A Systematic Review. [PDF]

Int J Mol Sci
Paterska M, Osowski K.
europepmc   +1 more source

Optimizing belowground interactions in young rubber-banana intercropping via partial organic fertilizer substitution: root competition, soil nutrients, and microbial communities. [PDF]

Front Plant Sci
Jin D, Yang H, Tan Y, Qiu L, Ji C, Zhang P, Luo W, Cha Z, Lin Q, Liu H.   +9 more
europepmc   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source