Results 141 to 150 of about 30,221 (235)

4D‐Printed Spin Crossover Metamaterials with Giant Programmable Positive or Negative Thermal Expansion

Advanced Materials, EarlyView.
Spin crossover composite filaments are implemented for the rational design of 4D‐printed mechanical metamaterials. The obtained bi‐material structures guided by a theoretical analysis based on analytical calculations and Finite Element Analysis simulations exhibit giant programmable positive or negative deformation with coefficients of thermal ...
Adelais Trapali, Yuteng Zhang, Seyed Ehsan Alavi, Nagham Mawassy, Raja Zulkarnain, Gábor Molnár, Lionel Salmon, Azzedine Bousseksou   +7 more
wiley   +1 more source

Can the Generalized Graded Unfolding Model Fit Dominance Responses? [PDF]

Appl Psychol Meas
Fu J, Tan X, Kyllonen PC.
europepmc   +1 more source

Data‐Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells

Advanced Materials, EarlyView.
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim, Yang Jeong Park, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok   +8 more
wiley   +1 more source

Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]

Sensors (Basel)
Liu H, Qin Y, Tu D.
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

A Geometric Whale Optimization Algorithm with Triangular Flight for Numerical Optimization and Engineering Design. [PDF]

Sci Rep
Wei J, Zhang R, Gu Y, Zhu W, Li Y, Li Z, Wu S, Wang Z, Cheong N, Im SK, Wang Y, Yang X.   +11 more
europepmc   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Early prediction of wind turbine anomalies using 1D-CNN and temporal feature engineering on multi-source SCADA data. [PDF]

Sci Rep
Ata MM, Osama S, Ibraheem MR, Abas AR.
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Data-driven explainable chronic kidney disease detection using RF based data imputation and meta-ensemble learning. [PDF]

Sci Rep
Gupta R, Gambhir S, Krejcar O, Jain A, Panwar A, Khan S, Namazi H.   +6 more
europepmc   +1 more source