Results 201 to 210 of about 1,234,774 (270)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Artificial Intelligence Predictions in Huge Chemical Spaces: Chiroptical Properties of [6]‐helicene Family

Advanced Science, EarlyView.
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda, Sandra Míguez‐Lago, Carlos M. Cruz, Boris Pérez‐Cañedo, Alfonso Gijón, Luis Álvarez de Cienfuegos, Antonio J. Mota, Delia Miguel, Juan M. Cuerva   +8 more
wiley   +1 more source

Solving inverse problems in physics by optimizing a discrete loss: Fast and accurate learning without neural networks. [PDF]

PNAS Nexus
Karnakov P, Litvinov S, Koumoutsakos P.
europepmc   +1 more source

Ultrafast Interfacial Engineering for Quantifiable Control of Asymmetric Configurations in Nanostructured Janus Membranes

Advanced Science, EarlyView.
Founded on a rapidly formed nanostructured tannic acid/polyethyleneimine (TA/PEI) platform, an ultrafast (∼5 min), universal interfacial engineering strategy utilizing stearoyl chloride (SC) and Phytic acid (PA) enables precise fabrication of Janus membranes across diverse substrates.
Wenqing Zhang, Jinhui Xu, Bo Li, Yao Li, Yue Zhang, Zhishu Tang, Huaxu Zhu, Jingwei Hou   +7 more
wiley   +1 more source

Unraveling the Synergistic Activity‐Stability Enhancement of a High‐Entropy Perovskite Air Electrode for Dual Ceramic Electrochemical Cells

Advanced Science, EarlyView.
A high‐entropy air electrode material, Gd0.2Pr0.2Ba0.2Sr0.2Ca0.2FeO3−δ (GPBSCF), is developed for both solid oxide fuel cells and reversible protonic ceramic cells. Its enhanced activity stems from increased oxygen vacancies/holes. The stability improvement is attributed to lattice distortion, while thermal expansion reduction is synergistically due to
Ying Zhang, Yibei Wang, Zhilin Liu, Kuo Hu, Yaowen Wang, Zhen Wang, Xiyang Wang, Bingbing Niu, Wenquan Wang, Tianmin He   +9 more
wiley   +1 more source

Selenium‐Based Nanoplatforms: An Emerging Theranostic Paradigm for Gynecological Cancers

Advanced Science, EarlyView.
This reivew summarizes Selenium as a multifunctional anticancer regulator in gynecological cancers. It reduces tumor risk, enhances therapeutic efficacy, and reduces treatment toxicity. Selenium also overcomes chemoraditherapy resistance, improving overall treatment outcomes. ABSTRACT Gynecological cancers present significant therapeutic challenges due
Hejing Liu, Yujia Zhou, Zihan Zhang, Rong Ma, Luyi Ruan, Liqing Miao, Boxin Zhang, Huihui Ji, Tianfeng Chen, Xueqiong Zhu   +9 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

HomPINNs: homotopy physics-informed neural networks for solving the inverse problems of nonlinear differential equations with multiple solutions. [PDF]

J Comput Phys
Zheng H, Huang Y, Huang Z, Hao W, Lin G.
europepmc   +1 more source