Results 81 to 90 of about 2,631,204 (260)

Deep learning-based action recognition for joining and welding processes of dissimilar materials

Frontiers in Materials
IntroductionJoining and welding processes for dissimilar materials present unique challenges due to the need for precise monitoring and analysis of complex physical and chemical interactions.
Tao He, Xinyuan Jin, Yiming Zou
doaj   +1 more source

Advances in 3D Bioprinting for Breast Cancer Modeling: Tumor Microenvironment, Metastasis, and Drug Screening

Advanced Healthcare Materials, EarlyView.
Three‐dimensional bioprinting transforms breast cancer modeling from simple constructs into spatially organized, multicellular, perfused, and patient‐derived platforms. This review shows how bioinks, cellular composition, architecture, and flow govern tumor behavior and drug response, while revealing why complexity alone is insufficient without ...
Mustafa Nakipoglu, Mahboobeh Mahmoodi, Ehsanul Hoque Apu, Fahimeh Shahabipour, Sibel Emir Diltemiz, Sanjib Saha, Halima Alem, Nureddin Ashammakhi   +7 more
wiley   +1 more source

Microfluidic Engineering of Microgels: A Review of Emerging Technologies, Materials, Fabrication Strategies, and Applications

Advanced Healthcare Materials, EarlyView.
Recent advances in microfluidic technologies for microgel fabrication are critically reviewed, highlighting the capabilities and limitations of major microfluidic platforms and discussing how platform design, material selection, and crosslinking strategies influence microgel architecture and functionality. Current challenges and future opportunities in
Afshin Abrishamkar, Laura Neely, Cynthia Pham, Nada Ibrahim, Alexis Larios‐Cervantes, Ben A. Kertesz, Todd Hoare   +6 more
wiley   +1 more source

Linear approaches to intramolecular Förster Resonance Energy Transfer probe measurements for quantitative modeling [PDF]

, 2011
Numerous unimolecular, genetically-encoded Forster Resonance Energy Transfer (FRET) probes for monitoring biochemical activities in live cells have been developed over the past decade.
Kurt I. Anderson, Kida, K., Katarzyna Kida, Birtwistle, M.R., Kriegsheim, Alexander von, Anderson, K.I., Kida Katarzyna, von Kriegsheim, A., Walter Kolch, Anderson Kurt I., Kida, Katarzyna, Schwarz, J.P., Marc R Birtwistle, Birtwistle Marc R., Birtwistle, Marc R., Alexander von Kriegsheim, Kurt I Anderson, von Kriegsheim Alexander, Juliane P Schwarz, Schwarz Juliane P., Kolch, W., Marc R. Birtwistle, Kolch Walter, Juliane P. Schwarz, et al.   +24 more
core   +1 more source

ST‐TFFM‐Observer: A Global Ionospheric TEC Prediction Model Based on Dynamic System Theory With Enhanced Time‐Frequency Dependence Modeling

Space Weather
ST‐Observer is a novel proposed spatiotemporal prediction model based on dynamic system theory, which has been proven to be superior to existing models in multiple spatiotemporal prediction tasks.
Liwei Sun, Haijun Liu, Huijun Le, Jing Yuan, Shijia Li, Xingyue Yao, Guoming Yuan   +6 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Unified Geostatistical Modeling for Data Fusion and Spatial Heteroskedasticity with R Package ramps [PDF]

This article illustrates usage of the ramps R package, which implements the reparameterized and marginalized posterior sampling (RAMPS) algorithm for complex Bayesian geostatistical models.
Mary Kathryn Cowles, Jun Yan, Brian J. Smith   +2 more
core  

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source