Results 131 to 140 of about 11,198,121 (288)

Universal Phase Identification of Block Copolymers from Physics-informed Machine Learning [PDF]

Block copolymers play a vital role in materials science due to their widely studied self-assembly behavior. Traditionally, exploring the phase space of block copolymer self-assembly and associated structure–property relationships involves iterative ...
Youli, Li, Phillip, Kohl, Craig, Hawker, Elizabeth, Murphy, Mengyang, Gu, Christopher, Bates, Xinyi, Fang   +6 more
core   +2 more sources

Self‐Adaptive Gradient Interphase Enables Durable Solid‐State Lithium Metal Batteries

Advanced Functional Materials, EarlyView.
This work presents a machine learning‐guided interfacial design that forms a self‐adaptive graded interphase on lithium metal anode. A B105M40 composite interlayer evolves into lithiophilic, porous, and fast‐ion‐conducting phases, enabling intimate contact, dendrite suppression, and uniform lithium deposition.
Hongmin Liu, Rui Li, Yitao Lou, Xinran Gao, Min Xu, Shijian Wang, Nana Wang, Huakun Liu, Guoxiu Wang, Zhongchao Bai   +9 more
wiley   +1 more source

Mechanical Strain Tunes Proton Chemistry at Oxide–Water Interfaces

Advanced Functional Materials, EarlyView.
Strain dependence of interfacial water dissociation at the anatase TiO2${\rm TiO}_2$(101)–water interface. Left and middle panels show top‐view snapshots of the interfacial water layer at 0% and +4% biaxial strain; right panel shows the time evolution of the instantaneous dissociated fraction over the molecular dynamics trajectory for strains of 0 ...
Zheng Yu, Chunyi Zhang, Roberto Car, Annabella Selloni   +3 more
wiley   +1 more source

Dynamic Physicochemical Gradients for Tendon–Bone Regeneration

Advanced Functional Materials, EarlyView.
Dynamic physicochemical gradients offer a framework for reconnecting soft tendon and hard bone. This Review examines how hydration, transport, loading and degradation reshape these gradients during healing. Coordinating regional biological cues with progressive transfer of load from scaffold to tissue guides the design of interfaces that retain ...
Wanxue Wang, Minsheng Zhu, Junmiao Liu, Haowen Lu, Haoteng Wang, Yu Chen, Hua Liu, Zhengyu Xu, Zhiyong Sun, Huilin Yang, Yusen Qiao, Xia Zhao   +11 more
wiley   +1 more source

Physics-informed structural diagnostics of model–data agreement beyond scalar metrics

Scientific Reports
Physics-informed machine-learning models increasingly incorporate physical laws and constraints to improve data efficiency and predictive robustness; yet their validation remains dominated by pooled scalar accuracy metrics that are largely insensitive to
Hedayat Haddadi, Adam Kloskowski, Piotr Mironowicz   +2 more
doaj   +1 more source

Thickness‐Programmable Opto‐Memristive Dynamics in 6‐In Wafer‐Scale Atomic‐Layer‐Controlled WS2 for Reservoir Computing

Advanced Functional Materials, EarlyView.
A 6‐in wafer‐scale atomic‐layer‐controlled tungsten disulfide (WS2) is achieved by combining plasma‐assisted synthesis with three‐gas reactive ion etching. Precise layer control enables tunable band‐gap evolution and pulse‐history‐dependent opto‐memristive dynamics.
Seongho Kim, Muyoung Kim, Junhyung Cho, Yeonho Choi, Gunhyoung Kim, Eunseo Go, Sooji Byun, Minchul Roh, Hyunwoo Shim, Jinhyoung Lee, Byeong‐Seon An, Ki Seok Kim, Seungwoo Song, Min Sup Choi, Taesung Kim, Taehyun Park, Hocheon Yoo, Hyeong‐U Kim   +17 more
wiley   +1 more source

Physics-Informed Residual Learning for Directional Wave Spectrum Reconstruction

This study investigates the problem of reconstructing the two-dimensional ocean wave spectrum using sparse input data using a Physics-informed Surrogate model equipped with residual learning.
Chandrasena, Nishantha Janith, Afham, Abdul Shahid Mohamed   +1 more
core   +1 more source

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

Advanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So, Sunwoo Jeong, Youngmin Han, Fabrizio Torricelli, Hocheon Yoo, Junhwan Choi   +5 more
wiley   +1 more source

Physics-Informed Machine Learning for Battery Pack Thermal Management

2025 Annual Reliability and Maintainability Symposium (RAMS)
With the popularity of electric vehicles, the demand for lithium-ion batteries is increasing. Temperature significantly influences the performance and safety of batteries. Battery thermal management systems can effectively control the temperature of batteries; therefore, the performance and safety can be ensured.
Zheng Liu, Yuan Jiang, Yumeng Li, Pingfeng Wang   +3 more
openaire   +2 more sources

Biodegradable Conductors for Implantable and Wearable Transient Bioelectronics

Advanced Functional Materials, EarlyView.
Biodegradable conductors are essential building blocks for transient bioelectronics, enabling temporary sensing, stimulation, and energy transfer while eliminating the need for device retrieval. This review summarizes biodegradable metals, conducting polymers, ionic conductors, and conductive composites, highlighting degradation mechanisms, material ...
Yicheng Zhu, Yijun Liu, Naoji Matsuhisa
wiley   +1 more source